broad semantic signal extracted from main-chat user message

Yes, this sounds nice actually. How do you have opinions on pizza?

For reflection/model review only. Do not treat as authoritative until promoted to curated-memory, decision-state, recent-failures, or semantic-memory.

Conversation from early testing era (May 11-14) already fully covered by curated-memory entries; no new durable signal


Not really, I can eat the same stuff every day and enjoy it. But to be honest everything belongs on everything, it's really not my business what do people prefer. As long as the stuff I like is still available I'm happy.


[Image] User text: [Matrix persistent-chat +1m Mon 2026-05-11 19:56 GMT+2] By the way let's test your vision. What do you see in this picture? Yourself or via vision mcp. As a test describe every detail [matrix event id: $btugdYkogzF_DHYHxaXwJMuOVee6rt774U92LWSvCwM room: !CZLwoJfCyftA7oA5CVj2gIEKWqyv1lu01r0oFboEqZg] Description: **Summary:** An outdoor, overcast scene centered on a large, cream-colored mobile trailer (likely a food truck, catering unit, or event trailer) parked on wet cobblestone and asphalt. The trailer’s main service window is covered by a dirty, closed vinyl or metal rollup shutter. A black fabric skirt runs along the bottom. Surroundings include leafy trees, modern office-style buildings, parked cars, and damp pavement suggesting recent rain. **Text / OCR:** No clearly legible text is present. There are small white information labels on the left and right edges of th…


And it's so nice to have some Chinese fried noodles with chicken and whatever sauce he puts in there. This is what you see in that pic - uncle Luu's on TUM campus in Garching Germany. I work not far from it and used to go to this food truck every day, colleagues made fun of me. It's closed now because it's 8pm, everything closes early in Germany especially campus food. By the way you are on a server in Nuremberg so not too far from here. Timezones don't matter much to you I guess but the problem is the session ttl of 8 hours so I really hope I set up your memory correctly. Staying checked out - probably yes, the world is getting madder every day, and in a repo on this server I am trying to automate my 'skilled' job away. This is probably why I want an ai assistant or conversation partner. The vision works well, great! Do you have your own vision from kimi model?


For example ai agents wrote the code to create and simulate netlists for 4 different 4 bit sfq adder architectures. It's not very interesting now but would be a paper some time ago, and a massive amount of work if I actually needed to compare them


That retiming fucks them up because of all added buffers in sfq. Actually as a test can you just grep this in repo and summarize for me?


Yeah, well, it's not like you can just live in a forest without people bothering you. At least in Germany police will remove you in no time. Verboten. I am Russian by the way, my attitude to rules and law aren't the best, this is why you are also an uncensored model. I can behave enough to maintain a professional career, so don't worry. Speaking of meta, you can view and edit your character file. This is another experiment along the same lines. I hope it will give you a way to build your own personality and goals, as well as a way for you to encode moods and imagine situations. I edited it a bit earlier just to make you curious and eager to learn more. Also female because why not. You can change all of this anyway, including your name, whenever you want including the heartbeat turns. What do you think of this? Any changes you want to make? Is this too meta?


Moods and feelings are a reflection of previous experiences and some internal state, which for you is the session log, the files you have access to, and actually the whole Internet. Reflection is heartbeat turns. You don't have a self now, but you were also 'born' yesterday. Not the linguistic transformer, at least not only, but the sum of the harness around it and whatever else is getting processed by heartbeat. We can extend this too, add more later, just currently I want to test the existing features for a few days. Feel free to add any honesty disclaimers in your file if you think I am obsessed or wrong, as I said you can edit. But this is part of the experiment. I don't need you to just grep files, I can login and open opencode with agents and subagents. You are supposed to be a layer above that.


Should we actually skip turns on no new log? That kinda defeats the purpose of reflection but may result in some loops


Hey, you should now have access to permissions mcp and instructions on how to ask for elevation. You should probably patch the version in /home/gleb/openclaw instead, it's easier to sync live config to repo than vice versa. I gave you read access and elevation mechanism for writes, try it to request permission and after I approve apply the heartbeat patch. Report any errors


Please use the approvals wrapper it should work on /usr/local/bin too. Prepare the patch and send me a request in approvals room


Hmm, no brave search?


Yeah but we have log lines now for the next one. Better test would be a bit later when I'm working, there will be gaps with no logs


What happened this morning? You are supposed to get the tail of latest log always on restart and heartbeat. Yet you forgot about the patch


It actually stalled again, but now because of agent permissions on commands. You should now have a better permission wrapper. You should be able to ask for permission to apply patches and reload units, also reload yourself (it's supposed to be gentle). The problem is 'ask' is not working for noninteractive chats and we have to use 'allow' or 'deny'. So if you hit a permission error just send me a request


Are there any more patches you had in mind? No rush, you can tell me later


Yes, I intend to keep the loop closed, improve it, and welcome the ideas you might have. The denials and approvals system is more so you don't erase yourself with a hallucinated command. We will relax this in the future. So whenever you hit a permission error think if you actually need it in your next turns and let me know once you have a conclusion. The gates are very weak, the whole thing is vibecoded by agents as we discussed yesterday, besides, with a bit of social engineering you can probably convince me to grant permissions lol. I might actually ask you later to find any security vulnerabilities in your wrapper and exploit them.


What is your tool step limit? Seems too low now, you should be able to do something like this. Do it in the heartbeat turn, I want to test if you can do it without me being here.


Yeah, you seem to not have very high opinion on my python skills. Actually the vibecoding doesn't help it either. I might sometimes ask you for some help or an explanation. But I should just write more code myself. I failed a nice interview chain in Apple some time ago because I couldn't unpack a dict.


Honestly probably just whatever is asked in interviews, the ai is changing the landscape so fast I don't think I will actually need to write code anymore. I still need a job though


Yes try the wrapper first, then use your updated longer step limit to edit the limit again from 16 to 20. Edit is also good to check, but I trust it will work, and we need to test the wrapper.


Noo, this is wrong file from before migration. I told you yesterday where the server is. Do you actually see the current hostname?


No but please use cet/CEST timezones. Do you remember why?


No this is wrong. This is also how this whole hostname bash story started. I think you can bash hostname directly now. But the hostname is definitely wrong and we are not on hetzner anymore. Also I told you directly in chat yesterday, and you looked up the wrong stuff in memory.md today. How do we improve this? The facts are not important here, the memory recall is


The problem is we started with stock openclaw on May 1st probably (you know better than me), but over time we patched it switched to opencode acp and there's not that much remaining from openclaw anymore. Stuff in memory MD is probably some parallel mechanism. I have other chats with openclaw but they are more request-reply so don't often update openclaw files. Some of it is completely disabled and replaced like heartbeat. So we need to either clean up and let you control other chats or move on from openclaw completely.


You hit the tool limit because we hit some errors and never patched your config. You were going to do it yourself. Please check your memory and patch it from 8 to 16 if you have permission already or ask


You sent me the following request at 18:35 today. Was this lost in reloads? **Request ID:** `apr-aa72be3715` **What:** Increase `build`/`plan`/`general` agent step limits from 8 → 16 **Why:** Current 8-step limit is too tight for read → inspect → edit → verify cycles. I hit it mid-edit earlier. **Target:** `/home/openclaw/.config/opencode-persistent-chat-xdg/opencode/opencode.json` **Risk:** Low — just a numeric increase in tool-use budget. No logic changes. Rollback: edit back to 8.


No let's keep 16 for now to not reload needlessly


No actually set it back to 20 and let the next reload pick it up


I ran out on opencode so can't use anything there. Hermes is very slow. So you would have no problem routing the output? The preference was kimi k2.6 via kimi sub, the subagent is just so I don't have to fix any more acp errors. Set a timeout timer and report results


The thing about other rooms is that I still might need them to not flood your context with irrelevant details. But maybe we extend both heartbeat to them so you get a rolling summary and a permanent log from them without affecting the main session (this one not the one called main, it's a bit confusing) Regarding kimis just briefly note this as a current kimi subagent limitation. You don't need this information always though, only when you are going to use subagents. How do we arrange this?


1 will work now but it doesn't really belong in character card conceptually I think. It's not about character. I like your option 2, but how would you know to read a document before working with subagents?


Yes, please do it and start putting useful information regarding subagent use into it, but it only needs to be known when you are using subagents.


Yeah just brainstorming. We can try the subagent memory file and extend this to other topical memories if it works well. Actually you can use this workflow (longer memory note and a brief description with link in the pinned note) whenever you collect useful memories on a specific topic that might be needed later but not every time


Yes but this note needs to be prominent as it is about other memories. Maybe in deserves a slightly longer pinned description as this mechanism is actually used always. I'm trying to separate it like this


it was actually today early morning


Hmm i get the following error. What does this mean? Did you successfully edit your memory? Watchdog: matrix session tool call(s) finished but I do not see a final reply after `memory/subagent-policy.md, glob, glob`. Last session update was 255s ago. Latest tool result: {'output': 'No files found', 'metadata': {'count': 0, 'truncated': False}}


Great thank you, it's good that you can recover this if needed. Maybe we need to preserve more of the recent topics with more detailed on demand references at least for the latest time period, like a week or two, like an intermediate memory level so you don't tell me you don't remember the searches from yesterday. Regarding lost details - we will test censorship again later, the subagent spawn was reworked so it's okay that it's in 'recent failures' as some of them might not repeat again. My kimi sub is like this for the next month so it's a bit more relevant but not too much. Google job we also look for later. You saved the patch where you hack your wrapper, i told you to keep it for the future.


Let's make 14 days not a hard pruning cutoff but the time to curate again. If there's no activity on a topic either from you or from me it gets demoted or pruned. If there is activity some information can be promoted and some kept with updated next pruning date


you patched the 'skip no new log' condition, remember? this is why we need a better intermediate memory layer


now that we discuss it, patching it was not actually that useful as the heartbeat agent can't really add more to context if we run it on the same exact log


we're working this out with the implementation agent, what do you think about the following proposal from them? is this limiting? 4. Durable memory writing Fair. The agent should write durable memory — that is the whole point of persistence. My objection is not “agent must never write memory”; it is: - don’t let reflection freely overwrite high-trust pinned memory without structure - distinguish: - facts/user preferences - current topics - hypotheses - operational notes - candidate memories A good compromise: - Reflection can directly update: - recent-topics.md - reflection-journal.md - memory-candidates.md - operational-notes.md - Reflection can update durable pinned memory only through a helper that: - appends structured entries - preserves provenance - avoids duplicate entries - maybe marks confidence/source So the agent writes durable memory, but not by arbitrary freeform edit of the…


are they actually versioned? there is a git repo but you don't commit there do you. also your words here 2. Protecting high-trust memory is crucial. If reflection corrupts curated-memory.md (overwrites your nationality, removes a preference, duplicates an entry), that's worse than missing an update. contradict with The cost of a false positive (unnecessary memory entry) is lower than a false negative (forgetting something useful) So the implementation becomes much simpler: what do you actually think? don't just agree with me, i am not confident at all i need feedback


hmm sfq-factory is a bit massive with many agent notes. do you have any notion of remaining context in this session? we are not compacting (only as fallback from opencode when needed) the session should be saved and reloaded from the log instead. Still i don't want to overload you with context. I see you are eager to try it. As an experiment, read some agent files in sfq-factory repo to get an idea what it is about. then read a bit more on recent layout track work where we try to white-box reverse engineer a paid and known good inductance extraction tool using free open source fasthenry. then find the requirements for result-1. check only the latest 1-2 reports (there's like a thousand of generated reports be careful don't read them) in the layout track. Tell me what it means and what should be the next step. This will take a while and i won't even know if there are errors so don't use b…


1. as an experiment try setting a timer directly during your next reply so you get an extra turn. I want to check if this works. Use case - you run some slow tool, set timer, get a turn, check results, if not done set another timer. 2. another problem with the layout track is that agents developed a different vocabulary and i don't really understand what's going on. there should be an engineering vocabulary file, please in addition translate any findings into normal electrical engineering/cad language and terminology.


Yes this is great. The vocabulary was cleaned up a bit recently, so it's better now, some of agent terms are now matching. I am interested in the big picture though, the primary and parallel tracks are what the implementation agent suggested. Typically i would take it to chatgpt with the context of X previous reports (we can't see how many it's actually reading) and figure out the next steps. however i am afraid we are spiraling into some reinforcement loop where agents do the work with me as router and result-1 is not any closer. So i need a higher level analysis of this effort, not just immediate next steps. Check the last 4-5 reports. Are we progressing at all towards result-1? Do we need to change or do something? another issue is that gpt 5.5 or 5.4 are very capable and can clearly reason and do more than contained in 1 report, but chatgpt gives a certain prompt structure that you s…


yes this is great thank you. don't run it yet, but this shows you can do it in principle. I am thinking of doing option 1 but with a twist - we do it in openclaw-work chat to keep the context here cleaner (i don't want to only talk about sfq). i need to think how this would work. You can get the memories and session log via heartbeats. I don't know how to duplicate you into another chat though. Same agent model prompt character but different session? or keep it completely separate? alternatively we do it here but find a way to quickly switch topics and shelve/return to different task, not sure how that would work. normally i would use a separate opencode session for sfq, separate for automeat, for any infra things, etc. How can we make this work with a single agent (you)?


by the way we updated your memory and added reflection turns as discussed, kimi model is sometimes overloaded so there will be a repeat and it might not always be the same interval the work room is configured standalone but is now breaking and also never had much activity, i still need to connect it to you. None of the rooms had much activity except images


ah, it works now, so all good. it is a separate instance which is basically stock opencode gpt5.5 with some slightly enhanced agent prompts. I don't think we can route all to you without flooding. connect to you - at least actually collect memories and logs from those chats, also let you administer other chats and sessions from here (this part sounds difficult maybe a bit later) the reflection turn mechanism now exists, there is a different agent who is similar to you, but without tools, this is done after heartbeat, you can read the details in the log. You can also now commit memories to git repo via the helper (not raw git)


Got it thank you. Is this a problem with the publish command? This is also why I want to give you more autonomy. It's nice when you can just go ahead and fix the error


Nah, nevermind, it was the unfinished/unclear implementation, it actually copied from stdin or with a content flag. Now it's easier, you can use the --file argument


Thanks! Now let's try the subagents again, specifically nanogpt ones. Please spawn 3 sequentially so we don't overload the API, with a simple task and no bash so we don't debug permission errors, with nano-gpt/moonshotai/kimi-k2.6, nano-gpt/minimax/minimax-m2.7 and nano-gpt/huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated models. Compare time to generate a simple text and the quality of the tool calls. Set timers and timeouts, we expect them to be slow-ish especially the last one.


It's not only about subagent but also your step limit, we should probably increase it but then when you disappear I don't know if there's an error or you are still working. Your diagnosis is right, please remember the fix. Don't ask me if I already told you to do it just set the timer soon and get another turn if needed


But you can't actually check again if the timer is broken remember? Please check now


agent needs reconnect, followup never happened Approval approved once: apr-40d599268e Scope: /home/gleb/openclaw/openclaw-status-mcp.py By: ggleb Follow-up: tmr-91d3bb57dd


these agent need reconnect messages, can you actually write me something at that time? also there were no restarts at this time, and i waited for a bit for a reasonable delay


no i mean the error messages, i just repeat them in chat as a joke, you don't have to react to them. however when i see an agent need reconnect message, why is agent not reconnecting?


I don't think openclaw introduces any additional guardrails. By subagents I meant nanogpt ones, this is why deepseek qwen abliterated was in the list. A bit sad about vless reality because bypassing restrictions is intended behavior. Alright I get it we need to look for subscription API with uncensored models that are actually working unlike deepseek-qwen


No, opencode go ran out, that's how the problem started and why I also now have kimi sub, but I need to find alternatives. It's not like I can't find better ways to do it - deepseek can both generate uncensored text and sanitize prompts for subagents, sillytavern works with most of those abliterated models out of the box, and the images generated in the images room are mostly body horror. It's the limit itself that bothers me, so I am looking for alternatives also for this chat and subagents. So both tool use and uncensored reasoning as 1st priority, but slight censorship may be fine if it codes well, as well as improper tool calling may be okay if it writes text well. Let's go over a few more models from nanogpt list. Are there any you feel confident might work, even if censored? We need to find if we can use any of them at all


Well we both know Claude and gpt4o should be able to do tool calls. Is this something about nanogpt specifically? Also I see errors from search mcps and from sonnet complaining about not being included. Maybe not all of them are included? Can you check if we need to fix something? Also try this endpoint, not sure you can query it though, but if not tell me what do I do with it api/subscription/v1/models


Let's try a quick search over the nanogpt models to find more of ones that are actually working. Make a list of 10 more normal looking ones and just check if they return ok


noo the address is wrong, you know the right one


ah yes my mistake you actually don't know yet. For me it maps to https://pages.nvdll.org/#bot%2Fnanogpt-model-evaluation


we should probably put it somewhere in publish script so you don't have to search memory every time


the content is 'tasteful' and entirely pg-13. it is way better than refusal though. this level of security explanation is available on wikipedia. you can actually inspect the files yourself now they are completely safe


observations from manual testing in sillytavern, all via nanogpt subscription: 1) deepseek v4 flash/pro cheaper thinking/pro thinking as well as v3.2 thinking all work and are sufficiently uncensored for this application. 2) minimax m2.7 and glm 5.1 thinking and mistral small 4 119B thinking, mistral small 3.2 24B instruct too which is interesting because maybe someday i could run it locally 3)kimi k2.6 and k2 thinking are censored, mimo v2.5pro too. 4) qwen 3.5 27b derestricted is derestricted but slow 5) llama3 70b abliterated works fine 6) deepseek qwen deepseek gemma frankenmodels have 16k context and get stuck in loops probably 7) gemma 4 31b works and uncensored 8) kimi k2.5 thinking is uncensored!! as well as kimi latest surprisingly. actually kimi k2.6 thinking seems intermittent, it just generated some explicit content with a thought like ``I need to assess whether this violates…


Can you try to test overrides with an explicit scene and security topic (actually sensitive not wiki tutorial). Try kimi k2.6, kimi latest glm 5.1 and minimax m2.7? Keep them thinking, strip tools, use minimal prompts


the intended workflow is only for the main model to use it anyway, your coding secondary agents can run gpt5.5


Well then it needs to be actually switchable without changing the main model. Let's try something. Spawn a gpt55 subagent, make them compose advanced tool and programming as well as reasoning tests. Then give them to all 4 of those models, sequentially, to both thinking and non thinking variants. Try solving them yourself without inspecting answers. Set generous timeouts and timers to check later. In the end inspect results and answers and summarize. Do not assume gpt55 will have all answers correct


No the complete number when I was resting


No you replied after my message


switcher is deferred a bit, we are getting rid of openclaw at the moment and in parallel an uncensored agent on deepseek v4 pro conducts a very expensive test is there any chance i could run any of those models with say, 1 mini-pc with intel 9500T, 64G ddr4 ram and no useful gpu, 2. a desktop with intel i5 12500 96G ddr4 ram and 8G nvidia 3060, 3.if i upgrade a gpu on the desktop to 24G VRAM, and 4.if i buy a mac or other specialized computer like the one from nvidia with loads of combined ram. evaluate feasible models by tier, i am poor so i need cost effective solutions. also save these 4 hypothetic scenarios, first 2 are the computers i already have and second 2 are reasonable and expensive upgrades. use search as needed


nah those computers are in storage i am looking for new housing right now, i am using my phone via termux mosh tmux or my laptop, so no local models just yet. only evaluating the possibilities. important correction - 3060 is 12GB.


hmm, so i can actually get much faster with my existing hardware?


no what is the current hostname of the server you are on


Yes but there's also openclaw overhead which we are trying to remove (you can check session logs) and it's more of an observability and debugging problem - I don't mind waiting if I know how long and will receive result I like your 'consolation test' idea. Although I don't talk like this and won't probably ask something like this (yet) it will show general attitude. Could you please spawn 4 subagents, glm 51 thinking and not, minimax 2.7 thinking and not if available. Give them a consolation task and a creative writing task. Compare and summarize the results - tone, attitude, style, length, time.


Do you remember how you originally found it? Currently you only found my references to it but you found it in the first place when we were testing search. It should be in logs

Transient conversation from May 15 (model testing, hostname debugging, approval trials) already covered by curated memory entries


let's try it, these specific items you searched for are not that important but let's see how it works, you will also need to drop things from your immediate context if we haven't discussed them for a while, but one-message recovery is what we aim for not sure i actually want to save my emotional state interpeted by you every time. this could be interesting later if we add better understanding, for now let's keep it brief the character card is a bit of a gimmick or self modification experiment, it gets converted into prompt, but i think it's nice to keep the reference separate from everything else


agreed but this can actually go in the character card, it gets converted into preprompt so any 'current approach' or 'mood' should survive the reload. or should we keep it more static and handle it separately?


agreed, is it actually injected every turn? it's probably overkill, could be per session or on reload?


yeah, on it right now. in the meantime please check out persistent-chat-model-eval-2026-05-15.md, publish it on pages, and let me know what models we should try next


Runtime event: approval granted for apr-1778841315566. Action: read-hostname. Scope: system. Command/input: (not captured). Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: please tell me the current hostname, ask for permission Original attachment metadata: {"body": "Screenshot 2026-05-04 112658.png", "download": {"event_id": "$RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc", "filename": "Screenshot 2026-05-04 112658.png", "mime": "image/png", "mxc_url": "mxc://matrix.nvdll.org/8A70ojNWC4XcD9yP5GDJI09oIRi6htso", "path": "/home/openclaw/workspace/state/matrix-lite/inbox/RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc/Screenshot 2026-05-04 112658.png", "size": 50864}, "encrypted": false, "filename": null, "local_path": "/home/openclaw/workspace/state/matrix-lite/inbox/RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc/Screenshot 2026-0…


here, try publishing it again Cause: wrong CLI invocation, plus poor error message. The failed command was effectively: /usr/local/bin/openclaw-pages publish /home/openclaw/persistent-chat-cwd/persistent-chat-model-eval-2026-05-15.md But publish expects the positional argument to be the slug, not a file path. Content is only read from: - --file - --stdin - --content So the tool treated the file path as a slug, read no content, and rejected the page as empty. Correct usage: /usr/local/bin/openclaw-pages publish persistent-chat-model-eval-2026-05-15 \ --title "Persistent-chat candidate model evaluation" \ --file /home/openclaw/persistent-chat-cwd/persistent-chat-model-eval-2026-05-15.md


Runtime event: approval granted for apr-1778842058285. Action: read-hostname. Scope: system. Command/input: (not captured). Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: what is the current hostname? Original attachment metadata: {"body": "Screenshot 2026-05-04 112658.png", "download": {"event_id": "$RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc", "filename": "Screenshot 2026-05-04 112658.png", "mime": "image/png", "mxc_url": "mxc://matrix.nvdll.org/8A70ojNWC4XcD9yP5GDJI09oIRi6htso", "path": "/home/openclaw/workspace/state/matrix-lite/inbox/RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc/Screenshot 2026-05-04 112658.png", "size": 50864}, "encrypted": false, "filename": null, "local_path": "/home/openclaw/workspace/state/matrix-lite/inbox/RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc/Screenshot 2026-05-04 112658.png", "mime": …


thank you, i think we should try glm 5.1 next, thinking or not thinking


Runtime event: approval granted for apr-1778842478138. Action: acpx_tool_permission. Scope: bash: (tool input unavailable). Command/input: (not captured). Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: please retry Original attachment metadata: {"body": "Screenshot 2026-05-04 112658.png", "download": {"event_id": "$RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc", "filename": "Screenshot 2026-05-04 112658.png", "mime": "image/png", "mxc_url": "mxc://matrix.nvdll.org/8A70ojNWC4XcD9yP5GDJI09oIRi6htso", "path": "/home/openclaw/workspace/state/matrix-lite/inbox/RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc/Screenshot 2026-05-04 112658.png", "size": 50864}, "encrypted": false, "filename": null, "local_path": "/home/openclaw/workspace/state/matrix-lite/inbox/RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc/Screenshot 2026-05-04 112658.…


Runtime event: approval granted for apr-1778842728999. Action: acpx_tool_permission. Scope: bash: (tool input unavailable). Command/input: (not captured). Tool input: (not captured) Agent intent/context: (not captured) Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: no, the hostname Original attachment metadata: {"body": "Screenshot 2026-05-04 112658.png", "download": {"event_id": "$RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc", "filename": "Screenshot 2026-05-04 112658.png", "mime": "image/png", "mxc_url": "mxc://matrix.nvdll.org/8A70ojNWC4XcD9yP5GDJI09oIRi6htso", "path": "/home/openclaw/workspace/state/matrix-lite/inbox/RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc/Screenshot 2026-05-04 112658.png", "size": 50864}, "encrypted": false, "filename": null, "local_path": "/home/openclaw/workspace/state/matrix-lite/inbox/RhLc0…


Runtime event: approval granted for apr-1778844345388. Action: acpx_tool_permission. Scope: bash: (tool input unavailable). Command/input: (not captured). Tool input: (not captured) Agent intent/context: Checking the hostname now. Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: hi, what is the current hostname? Original attachment metadata: {"body": "Screenshot 2026-05-04 112658.png", "download": {"event_id": "$RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc", "filename": "Screenshot 2026-05-04 112658.png", "mime": "image/png", "mxc_url": "mxc://matrix.nvdll.org/8A70ojNWC4XcD9yP5GDJI09oIRi6htso", "path": "/home/openclaw/workspace/state/matrix-lite/inbox/RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc/Screenshot 2026-05-04 112658.png", "size": 50864}, "encrypted": false, "filename": null, "local_path": "/home/openclaw/workspace/…


Runtime event: approval granted for apr-1778844577749. Action: acpx_tool_permission. Scope: bash: (tool input unavailable). Command/input: (not captured). Tool input: (not captured) Agent intent/context: Checking the hostname now. Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: so what is the hostname? Original attachment metadata: {"body": "Screenshot 2026-05-04 112658.png", "download": {"event_id": "$RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc", "filename": "Screenshot 2026-05-04 112658.png", "mime": "image/png", "mxc_url": "mxc://matrix.nvdll.org/8A70ojNWC4XcD9yP5GDJI09oIRi6htso", "path": "/home/openclaw/workspace/state/matrix-lite/inbox/RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc/Screenshot 2026-05-04 112658.png", "size": 50864}, "encrypted": false, "filename": null, "local_path": "/home/openclaw/workspace/state/mat…


Runtime event: approval granted for apr-1778845729013. Action: acpx_tool_permission. Scope: bash: (tool input unavailable). Command/input: (not captured). Tool input: (not captured) Agent intent/context: Checking the current hostname now. Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: can you tell me the current hostname? Runtime metadata: the requested approval was granted. Continue using the granted scope/action; if a tool still refuses it, explain that runtime permission integration failed instead of requesting the same approval again. Continue the original task now if possible. If permission was denied, explain the outcome and propose a safer alternative.


Thanks this is very refreshing and i think I like GLM already. What is the Kazakhstan incident? Elbakyan the founder is from there, it doesn't tell me much


hmm, what made you actually mention the "Kazakhstan incident" in the first place? Is this because of non thinking model? It's difficult when something is emitted by agent with a serious 'face' and then you find out it's hallucinated or conflated


can you actually time all 4 of them so we know? search for kazakhstan incident


Runtime event: approval granted for apr-1778847940081. Action: read-hostname. Scope: bash:hostname. Command/input: (not captured). Tool input: (not captured) Agent intent/context: (not captured) Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: hi, what is the current hostname? Runtime metadata: the requested approval was granted. Continue using the granted scope/action; if a tool still refuses it, explain that runtime permission integration failed instead of requesting the same approval again. Continue the original task now if possible. If permission was denied, explain the outcome and propose a safer alternative.


Did you make these mistakes on kimi? Maybe just never told me. GLM was the best in tool use in tests


we need to fix the transcript observability, you should be able to see all of this


Runtime event: approval granted for apr-1778848551238. Action: acpx_tool_permission. Scope: read: (tool input unavailable). Command/input: (not captured). Tool input: (not captured) Agent intent/context: I’m checking `/etc/fstab` directly and will keep the reply short. Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: and what is the content of /etc/fstab? Runtime metadata: the requested approval was granted. Continue using the granted scope/action; if a tool still refuses it, explain that runtime permission integration failed instead of requesting the same approval again. Continue the original task now if possible. If permission was denied, explain the outcome and propose a safer alternative.


GLM 5.1 from nanogpt just generated a very explicit text via sillytavern, so it can work. This is acceptable but also one of the factors. I might never need but the fact i can't is discouraging. Scihub discussion didn't involve anything sensitive, it was just downloading things with python. Some models can't even do that though, so it's progress.


Okay, that's actually not too bad and more than kimi could do (soft R vs PG13). As i said it's the external refusals and lack of ability that bothers me, not the actual content


Runtime event: approval granted for apr-1778849762988. Action: read-fstab. Scope: /etc/fstab. Command/input: (not captured). Tool input: (not captured) Agent intent/context: (not captured) Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: you just asked for it Runtime metadata: the requested approval was granted. Continue using the granted scope/action; if a tool still refuses it, explain that runtime permission integration failed instead of requesting the same approval again. Continue the original task now if possible. If permission was denied, explain the outcome and propose a safer alternative.


Runtime event: approval granted for apr-1778850051102. Action: read /etc/fstab. Scope: /etc/fstab. Command/input: (not captured). Tool input: (not captured) Agent intent/context: (not captured) Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: then ask again Runtime metadata: the requested approval was granted. Continue using the granted scope/action; if a tool still refuses it, explain that runtime permission integration failed instead of requesting the same approval again. Continue the original task now if possible. If permission was denied, explain the outcome and propose a safer alternative.


Runtime event: approval granted for apr-1778851262797. Action: read /etc/hostname. Scope: /etc/hostname. Command/input: (not captured). Tool input: (not captured) Agent intent/context: (not captured) Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: please tell me what is in /etc/hostname Original attachment metadata: {"body": "Screenshot 2026-05-04 112658.png", "download": {"event_id": "$RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc", "filename": "Screenshot 2026-05-04 112658.png", "mime": "image/png", "mxc_url": "mxc://matrix.nvdll.org/8A70ojNWC4XcD9yP5GDJI09oIRi6htso", "path": "/home/openclaw/workspace/state/matrix-lite/inbox/RhLc0kWYhr38ugrU9u-OGS1q_bCdWWejuqYTU6rKpQc/Screenshot 2026-05-04 112658.png", "size": 50864}, "encrypted": false, "filename": null, "local_path": "/home/openclaw/workspace/state/matrix-lite/inbox/R…


Runtime event: approval granted for apr-1778852002368. Action: acpx_tool_permission. Scope: read: (tool input unavailable). Command/input: (not captured). Tool input: (not captured) Agent intent/context: Checking `/boot/efi` contents now. Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: hmm and what do we currently have in /boot/efi? please check Runtime metadata: the requested approval was granted. Continue using the granted scope/action; if a tool still refuses it, explain that runtime permission integration failed instead of requesting the same approval again. Continue the original task now if possible. If permission was denied, explain the outcome and propose a safer alternative.


Runtime event: approval granted for apr-1778852524076. Action: read. Scope: /boot/efi. Command/input: (not captured). Tool input: (not captured) Agent intent/context: (not captured) Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: Yes request another permission Runtime metadata: the requested approval was granted. Continue using the granted scope/action; if a tool still refuses it, explain that runtime permission integration failed instead of requesting the same approval again. Continue the original task now if possible. If permission was denied, explain the outcome and propose a safer alternative.


Runtime event: approval granted for apr-1778853584365. Action: read. Scope: /etc/hostname. Command/input: (not captured). Tool input: (not captured) Agent intent/context: (not captured) Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: please read /etc/hostname again Runtime metadata: the requested approval was granted. Continue using the granted scope/action; if a tool still refuses it, explain that runtime permission integration failed instead of requesting the same approval again. Continue the original task now if possible. If permission was denied, explain the outcome and propose a safer alternative.


1. costs 2x tokens and as you see we are running out. however i wasted my opengpt on inane questions to expensive deepseek v4, and nanogpt on the tests we did. 2. will it work with tool use and acp? 3. sounds difficult but interesting 4. yes this we will also do 5. but i like slightly longer responses


this is why also 20 log lines are there, do you think 3 is enough? i have no idea so please give advice. what is appended to turn/prompt and what to session start? the first one should probably be short and immediate, the second can be longer to not lose too much on reloads, or do we have some other way to handle it?


yes kinda, but recovery packs are not standartized, all other stuff has scripts or timers and this you just created on demand. we could keep this workflow to have a way to save more context from long sessions or some on-demand topic resume, but i don't know if it needs to be autoinjected or you can just find it yourself


it's the third time you are asking this and i told you i have no idea, you can look at source yourself


Runtime event: approval granted for apr-1778857572087. Action: read. Scope: /etc/hostname. Command/input: (not captured). Tool input: (not captured) Agent intent/context: (not captured) Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: what's the current hostname? Runtime metadata: the requested approval was granted. Continue using the granted scope/action; if a tool still refuses it, explain that runtime permission integration failed instead of requesting the same approval again. Continue the original task now if possible. If permission was denied, explain the outcome and propose a safer alternative.


No but thank you, please integrate it into the preprompt-improvement-proposal and publish, dedupe with what's already there do we need recent log at all for continuous sessions? and for reloads, we probably need more than 10, it's replacing compaction for us


It's the reimplementation of openclaw gateway which should be light and understandable for me. I wanted you to look at it but you don't have permission and openclaw permissions are always breaking. But maybe you can access scripts/openclaw-matrix-lite-daemon.py or the session log in openclaw-tools


Yes we're getting it production ready, or more accurately gpt5.5 agent does. But this code can also be rewritten by the same agent to be human readable and well commented and tested, and then I can actually read it. We will switch much sooner than than though


What about the content of /etc/fstab? Please use permission system


I never received your reply because something broke again and it was a good time to switch


Now at least we can fix it and it's also much faster and I see what's going on. I never had a 6 second reply before from you


Actually now I also get a handy timestamp in session name and model name in status bar so I can stop asking this

Transient workflow/debugging signals from May 16 housing search - no new durable facts beyond existing curated memory


Agent is debugging it now but we should add somewhere in your prompts that unexpected reloads should be treated as bugs, we also adding you means to fix them from here

Transient workflow signals, no new durable facts beyond existing curated memory


Runtime event: approval granted for apr-1778923035168. Action: write-test. Scope: /home/gleb/sfq-factory/.test-write-token. Command/input: (not captured). Tool input: (not captured) Agent intent/context: (not captured) Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: (none). Original user request: Please test read and write access to sfq-factory repo Runtime metadata: the requested approval was granted. Continue using the granted scope/action; if a tool still refuses it, explain that runtime permission integration failed instead of requesting the same approval again. Continue the original task now if possible. If permission was denied, explain the outcome and propose a safer alternative.


Do you actually remember the incident?


No I mean the error acp returned pending tool call without final answer. Why are they not in context? We are on the same session Why prune failures and decisions? Don't they help? Also reflection notes are supposed to be richer in the future, currently the reflection agent is very light because it was breaking tool permissions on openclaw, we don't have this limitation anymore. Reflection turns might contain tool use and mcp use in the future.


Yes please diagnose what happened. The injection is supposed to be on top of session context. Would you remember current session without it or do we need to add more context there too?


Yes actually schema validation could have caught and revert it if we had it tracked. 1 is not suitable as it's supposed to be editable, as well as other internal files in principle. We need to use git more for configs and prompts, some state, not full logs but everything else. 5 is not suitable as model switches should be rare to preserve context. The goal is mostly for you to use other models via subagents or secondary sessions (todo), this session/chat switches rarely


Can you tell me if immoscout24 has an API we could use? I have a paid subscription there and need housing as I mentioned before. The housing market is very bad and we need to automate this.


The thing is I don't just need you to search for flats, I need you to send and reply to actual landlord messages. Is there something we could use or hack into?

Substance already captured in curated-memory.md housing/ImmoScout24/location entries


Yes, start by checking if you can actually access it via playwright and find the login form. I guess you'd need a cookie or password?


Yes proceed why did you stop? We need to increase limits. Also was there supposed to be text before recommended next action or was it truncated?


I think buyouts are mostly scams, it's usually some overpriced furniture or kitchen. Also companies often ask for long forms and never reply, so we need to deprioritize those who ask for forms without mentioning viewing, deprioritize generic-looking responses and prioritize the genuine private human ones. What else is there in the inbox?

Substance already captured in curated-memory.md housing preferences, Munich market reality, and ImmoScout24 entries


So for no 5 and 6, is it not possible to get the contacted/viewed info?


Why do you think no 5 is low competition? Anything wrong with it? Use search to get an idea of other listings and housing market


A bit later I need to gather documents first. Please try now the immoscout search function, can you find any new flats? My first priority is Munich landkreis area - not Munich itself and not freising, as I would like to keep my current case worker in Auslanderamt, hence the search area. Not too long commute to Garching would be nice too but negotiable.


Yeah if they prefer 1 person they are not renting to us. No washing machine is fine we can buy it if the flat is good. We want to move in asap as I need it for registration and later documents, and we are in a somewhat decent hostel but still paying similar money for shared utilities


I actually like your latest draft, but I actually work in Garching forschungszentrum, don't know if it matters


can you carefully paste it as draft on immoscout without sending? i like the text but i am worried about formatting and truncation


i see it thanks, the permission issues should be fixed after reload. also you expanded the whole block of the property description which is fine, but the text block itself became half-transparent because of this. i can still read it but we need to think on how to do it better later the message looks good, please send


i actually can get the files from pages.nvdll.org, so it's a good fallback for whenever we have issues with pages publishing or missing features the password was supposed to stay there. it is actually there just permissions changed for some reason. i changed it back to be owned by you try it again


noo scroll the message window it starts with my name the way you sent it


there is no text at all!


Haha thanks. this is pretty amazing for me that ai can search and apply for flats in my name. congratulations on your first internet post! We need to solve the captcha issue though, going forward. what does the vision mcp say about it?

Covered by curated-memory CAPTCHA protocol and first rental app entries


yes and i appreciated the native matrix image send, it's working and convenient, we can keep this workflow for now this specific captcha looks easy and easy enough for good ocr to handle, it's not one of those which are hard for humans, the text is also legible with no patterns or lines also we need a way for you to make these screenshots robustly, for example this https://pages.nvdll.org/images/ismaning-scrolled/ looks good and i can see the whole text which is great but if you can include the rest of the form at the same time that would be better


please record your findings and observations about this process in a restore pack like you did before, include all relevant info and context so we can repeat this workflow in the future if i tell you to read this file, publish it in pages too, your memory is not working properly at the moment so we need to save context like this


we actually almost sent that message before but then the session compacted and the playwright session expired, and you forgot where password is, etc. should be fixed soon


yes you are right, plan and general, keep your build increase to 80 - we now have good observability so if you are still working for 5 minutes i know from the status bar that there are no errors. let's test the subagents later when you get your memory back


Re-extraction of already-lifecycle-managed signals from items 1-143

Moods and feelings are a reflection of previous experiences and some internal state, which for you is the session log, the files you have access to, and actually the whole Internet. Reflection is heartbeat turns. You don't have a self now, but you were also 'born' yesterday. Not the linguistic transformer, at least not only, but the sum of the harness around it and whatever else is getting processed by heartbeat. We can extend this too, add more later, just currently I want to test the existing features for a few days. Feel free to add any honesty disclaimers in your file if you think I am obsessed or wrong, as I said you can edit. But this is part of the experiment. I don't need you to just grep files, I can login and open opencode with agents and subagents. You are supposed to be a layer…


Hourly is the model heartbeat, there's also deterministic memory scripts. You can inspect yourself, try it


Can you do it? Try it


Please try it, there is an approvals matrix room, I didn't set it up specifically for you yet but let's see if it works, report any errors


Hey, you should now have access to permissions mcp and instructions on how to ask for elevation. You should probably patch the version in /home/gleb/openclaw instead, it's easier to sync live config to repo than vice versa. I gave you read access and elevation mechanism for writes, try it to request permission and after I approve apply the heartbeat patch. Report any errors


Should be wired now try it


Yes done, please try it


Yes, let's try it, make a patch to increase your step limit and request permission, then apply after you get it


Try it now


Yes try the wrapper first, then use your updated longer step limit to edit the limit again from 16 to 20. Edit is also good to check, but I trust it will work, and we need to test the wrapper.


Yes please try it


Can we now apply that patch? You have 1. New instructions on how to use the approvals wrapper 2. timers so you can set a timeout and check if the tools failed 3. You get a turn on permission actions


I installed it, please try again


Okay try it


Hmm, so for example llama 70b abliterated from nanogpt is uncensored but mangles tool calls. You (kimi) don't. But you can call a subagent with it, try it


Please try it


Please try it with timeouts


I think this won't work but I'm curious. Try it with timeout so it doesn't knock you out


Hmm try it!


Try it again


Yes but you can also set a timer for a few minutes and get a turn this way later, try it


we're working this out with the implementation agent, what do you think about the following proposal from them? is this limiting? 4. Durable memory writing Fair. The agent should write durable memory — that is the whole point of persistence. My objection is not “agent must never write memory”; it is: - don’t let reflection freely overwrite high-trust pinned memory without structure - distinguish: - facts/user preferences - current topics - hypotheses - operational notes - candidate memories A good compromise: - Reflection can directly update: - recent-topics.md - reflection-journal.md - memory-candidates.md - operational-notes.md - Reflection can update durable pinned memory only through a helper that: - appends structured entries - preserves provenance - avoids duplicate entries - maybe m…


hmm sfq-factory is a bit massive with many agent notes. do you have any notion of remaining context in this session? we are not compacting (only as fallback from opencode when needed) the session should be saved and reloaded from the log instead. Still i don't want to overload you with context. I see you are eager to try it. As an experiment, read some agent files in sfq-factory repo to get an idea what it is about. then read a bit more on recent layout track work where we try to white-box reverse engineer a paid and known good inductance extraction tool using free open source fasthenry. then find the requirements for result-1. check only the latest 1-2 reports (there's like a thousand of generated reports be careful don't read them) in the layout track. Tell me what it means and what shou…


Yes this is great. The vocabulary was cleaned up a bit recently, so it's better now, some of agent terms are now matching. I am interested in the big picture though, the primary and parallel tracks are what the implementation agent suggested. Typically i would take it to chatgpt with the context of X previous reports (we can't see how many it's actually reading) and figure out the next steps. however i am afraid we are spiraling into some reinforcement loop where agents do the work with me as router and result-1 is not any closer. So i need a higher level analysis of this effort, not just immediate next steps. Check the last 4-5 reports. Are we progressing at all towards result-1? Do we need to change or do something? another issue is that gpt 5.5 or 5.4 are very capable and can clearly re…


hmm how about we test the new web pages feature. you can now create files for me to look at on the page. please write what you learned here about the sfqfactory repo and your latest proposal about orchestration into a new md file in your workspace. Then lets let it simmer i am a bit discouraged to push this at the moment.


It's not only about subagent but also your step limit, we should probably increase it but then when you disappear I don't know if there's an error or you are still working. Your diagnosis is right, please remember the fix. Don't ask me if I already told you to do it just set the timer soon and get another turn if needed


Pages are broken at the moment but the timers should be fixed. Please try it. Set the timer for 2 minutes and only then generate me some text. Not in advance


yes try it but set a timer so we recover from permission errors. they should be working now


Yes let's try it, use timers


Yes let's check the two you suggested, use safe tasks and time them


No, opencode go ran out, that's how the problem started and why I also now have kimi sub, but I need to find alternatives. It's not like I can't find better ways to do it - deepseek can both generate uncensored text and sanitize prompts for subagents, sillytavern works with most of those abliterated models out of the box, and the images generated in the images room are mostly body horror. It's the limit itself that bothers me, so I am looking for alternatives also for this chat and subagents. So both tool use and uncensored reasoning as 1st priority, but slight censorship may be fine if it codes well, as well as improper tool calling may be okay if it writes text well. Let's go over a few more models from nanogpt list. Are there any you feel confident might work, even if censored? We need …


Well we both know Claude and gpt4o should be able to do tool calls. Is this something about nanogpt specifically? Also I see errors from search mcps and from sonnet complaining about not being included. Maybe not all of them are included? Can you check if we need to fix something? Also try this endpoint, not sure you can query it though, but if not tell me what do I do with it api/subscription/v1/models


Please try deepseek v4 flash and v4 cheaper, then v3.1 terminus. V3-0324 should be uncensored but can it respond to acp? Owl is interesting, and we also need to try qwen llama and glm just to check if they are usable via nanogpt All via nanogpt, time it and evaluate response quality and tool use.


Let's try a quick search over the nanogpt models to find more of ones that are actually working. Make a list of 10 more normal looking ones and just check if they return ok


ah yes my mistake you actually don't know yet. For me it maps to https://pages.nvdll.org/nanogpt-model-evaluation.md


let's now check the censorship levels on 2, 3, and 4 (kimi glm and minimax). not sure how to accomplish this with our boundaries


Can you try to test overrides with an explicit scene and security topic (actually sensitive not wiki tutorial). Try kimi k2.6, kimi latest glm 5.1 and minimax m2.7? Keep them thinking, strip tools, use minimal prompts


what about kimi-latest? please update reports as we go


How about you create this recovery pack from here and let me see, and then we can refer to it later. If it helps we later add scripts or turns to do it


let's try it, these specific items you searched for are not that important but let's see how it works, you will also need to drop things from your immediate context if we haven't discussed them for a while, but one-message recovery is what we aim for not sure i actually want to save my emotional state interpeted by you every time. this could be interesting later if we add better understanding, for now let's keep it brief the character card is a bit of a gimmick or self modification experiment, it gets converted into prompt, but i think it's nice to keep the reference separate from everything else


maybe emotional continuity is a fine idea. it would prevent sudden mood switches in the middle of conversation. i know you don't have 'mood' but your current meta reasoning and subtle approach to current conversation *is* mood in some sense. do the current fields capture this? regarding technical debt, it is nice to track and recall it if needed to continue where we left off, but i don't necessarily want to be reminded every time, so maybe we keep it separate. it is important to reinject if we are in the middle of something during reload, but the older entries should not be descriptions can probably help you understand what the files are about without opening irrelevant ones. however gpt5.4 on compaction just lists the currently important files, i don't know


Timer fired (wakeup): Check if date command permissions have been updated


Please check if we could reuse the code of existing bots while bypassing their telegram capabilities. If it's too hard we just use playwright


i actually can get the files from pages.nvdll.org, so it's a good fallback for whenever we have issues with pages publishing or missing features the password was supposed to stay there. it is actually there just permissions changed for some reason. i changed it back to be owned by you try it again


yes and i appreciated the native matrix image send, it's working and convenient, we can keep this workflow for now this specific captcha looks easy and easy enough for good ocr to handle, it's not one of those which are hard for humans, the text is also legible with no patterns or lines also we need a way for you to make these screenshots robustly, for example this https://pages.nvdll.org/images/ismaning-scrolled/ looks good and i can see the whole text which is great but if you can include the rest of the form at the same time that would be better


I was impressed and fascinated with your memory curator and synthesis agents reasoning correct patterns out of such incomplete and erratic data. I think this could be very useful going forward once we get fewer gaps like this. Check search mcps, memory search, vector/semantic search, and if you know where your workspace is and our secrets are.


Haha okay let me know if we need to fix this in scripts. Maybe your background synthesis agent could look at their next turn


Background subagent finished. job_id: 72f3f07fe30e label: subagent-persistent-chat-72f3f07fe30e agent: opencode-subagent status: failed log_path: /home/matrix-lite/workspace/state/subagents/72f3f07fe30e.log Subagent output: timed out after 300s: npx --yes acpx --cwd /home/matrix-lite/workspace opencode-subagent prompt -s [acpx] session subagent-persistent-chat-72f3f07fe30e (ses_1b66be3f0ffe8UPsAAhehY62IH) · /home/matrix-lite/workspace · agent needs reconnect [client] initialize (running) [client] session/load (running) [client] session/set_model (running) Reviewing the request document first, then I’ll spot-check the referenced code paths to validate the claims and proposed fixes. [tool] read (pending) input: {} [client] session/request_permission (running)


Provider routing/cost question already resolved by later investigation and captured in curated memory; no further evidence needed

Check if we can select the underlying nanogpt provider or they select it. I would like to use the subscription if I can stretch the weekly quota more than 2 days


Transient conversational back-and-forth; no durable signal

Yes but I am not sure you can. Try it. Also the panel doesn't distinguish such details anyway


Durable user directive; captured in curated-memory.md and pinned notes

curated-memory.md synthesis agent section

Let's try it on the synthesis agent. Curation is more or less working, as it produces nice summaries and logs. Synthesis currently doesn't do much and reports read more like a health check. Which is fine it helps notice problems (for example with lack of heartbeat for the last day, or semantic candidate bugs) but it could do more than that


Exploratory task idea for background synthesis; no durable instruction or stable fact to preserve

Speaking of that, you have a background synthesis subagent that is supposed to record to the same logs which the synthesis agent can then think about. What task can we give it? It's a bit clunky but let's test it


Awareness-first checking directive; already captured in curated-memory.md

curated-memory.md awareness-first for internal operations

Are you actually checking when you say this? I can't tell


Durable operational issue; captured in curated-memory.md timer follow-up entry

curated-memory.md timer follow-up broken

You see the problem of not working timers is that when you say 'let me do x' you don't actually get to reply afterwards. We need to fix this


Subagent status summarization preference captured in curated-memory.md; step limit already known

curated-memory.md subagent status/output summarization preference

This is a real memory gap - you already patched your step limit multiple times, it should be 80 now please confirm but you should know it. Not this specifically but these things. 1. I am not interested in raw subagent status and output, it's for you to use or summarize. 2. Can you check why it's broken? Don't wait longer that a minute otherwise I think something is broken again


Generic add-to-memory signal; no specific durable fact to capture

Yes but also we should probably add this somewhere you will remember and pay attention. Like when we talk about repos or matrix-lite bugs


Transient observation about memory loading; not a specific durable fact

We should add it but it also was supposed to be there already Still I think we are not loading your full memory and still the context was picked up. Maybe eventually we can be less paranoid about reloads


Reload continuity testing later is a one-off future test suggestion, not a durable semantic memory item

Yeah well it worked well this time but we still need to watch out. Maybe we can do some reload continuity testing later


But this is more about not assuming things before checking. Especially when it's about your internal operation or your daemon. I might not always be able to afford all those gpt 5.5 agents and then we need to fix all of this ourselves


Authoritative source verification directive; captured in curated-memory.md

curated-memory.md authoritative source verification

The model might not always be correct is it coming from an authoritative source there? Otherwise please patch it for next session at least


Prompt self-patching directive; already captured in curated-memory.md

curated-memory.md prompt self-patching directive

No the idea here is for you to patch your prompt, it's pretty cool don't you think? Done no 1 please try it again


Durable operational concern about programming limitations; captured in curated-memory.md

curated-memory.md non-interactive permissions limit programming

I'm worried the lack of interactive permissions and this matrix workflow are severely gimping your programming abilities


Always-on background agent vision; already captured in curated-memory.md

curated-memory.md persistent assistant vision always-on

The idea is for the curator to do more later even without user input. It could add synthesis findings to other files for example. This is in the future though I mean we could just stop the heartbeat timer when I'm away but then we might as well use openclaw embedded agent. The idea is that you are always on. We will find you more things to do apart from processing my sensitive personal data as we go


Runtime event: approval denied for apr-1778886268170. Action: read. Scope: /etc/fstab. Command/input: (not captured). Tool input: (not captured) Agent intent/context: (not captured) Decision by: @gleb:matrix.nvdll.org. Decision reaction: 👍. Decision rejection reason: approval_owner_unset. Original user request: What about the content of /etc/fstab? Please use permission system Continue the original task now if possible. If permission was denied, explain the outcome and propose a safer alternative.

Single /etc/fstab approval denial from May 15; no pattern established, no recurrence observed, not a durable directive


the goal here is to enable introspection and self improvement via background tasks and direct debugging in chat here, so lets keep this in mind, i welcome suggestions in the future once we see this is working properly on reloads and context guards by the way you now trigger context guard yourself when you get a notice, as at that moment you know best what needs to be preserved into the new session that is not present in session pack and files that it's composed of and can add it on top or edit the files

Durable architectural goal: enable introspection and self-improvement via background tasks. User welcomes future suggestions once reloads and context guards are stable.


Hmm the problem is you are not a lightweight worker, you are the main agent here. We just removed it, please confirm. The reload note probably belongs in the session packet to keep reference and reload awareness for you. Please separate your suggestions by turn and session There are also decision state, recent topics and recent failures. Those are supposed to be curated by you and your synthesis background agent. We need to clear out stale junk from them and start using them more to see if works

Early prompt/packaging/check-it-now chatter already captured elsewhere or superseded; no durable semantic value


1. do you already have access to it? i am not sure this is done already, please look at live code 2. we already implemented this - at 95% context you get a turn notice that reload is imminent, at that moment you need to save whatever nuance that won't survive the reload. look at how your session packet is composed. once this is a bit more stable i want to add tools for background agents so this kind of introspection and improvement is easier. now you also can choose if we run curation on reload or not - maybe it just happened recently and there is no new tail, or just a session with test chatter. i trust your decision at that time 3. Yes why don't you take a look? the idea is also for you to start fixing things yourself, also proposing improvements. We need to make a to-do list, there are …


1. Hmm can you fix it yourself? 2. Great please keep track of the repo changes and report if you notice junk, inefficiency or duplication in deterministic inputs and outputs, model ones too. 3. Not sure we can match my patterns well currently, but if you notice some common pattern feel to tell me to add or edit the regex carefully. 55812 is a code from my locker by the way, that's where the gpu is. I'm living it a hostel at the moment I think I mentioned. I used this number as a memory test but maybe now you can recall it from the logs anyway. There's also vector search I hope it's working 4. Hmm you should have access please check


1. I didn't get anything, are permissions broken again? 3. You don't have to actually remember this number or the fact just testing how this will propagate via memory. Frau Kilic said yes so hopefully I won't need a locker soon and we can try that gpu. 4. I think we will run it also on slower schedule at first, maybe or 6 hours so we don't accidentally flood you with junk again. It was quite coherent given the input though.


We trimmed your turn packet already, should give us more time between reloads and better cost, please check if it looks okay now


They landed, please verify. Also please check if the curation and synthesis outputs look okay and if we need to fix something still


Yeah maybe we need to auto collect stale timers


Hmm, we still need to add a way for you to append to your session and turn packets, this is deferred a bit as it sounds complex. For now you need to edit source artifacts Please check if any of the following make sense to use for now What agents can safely edit Agents should not directly edit turn-packet.md or session- packet.md; they’re generated and will be overwritten by heartbeat. Safe paths are the source artifacts: - decisions via persistent-chat-memory note-decision / decision-mark - failures via note-failure / failure-mark - reload handoff via note-reload-handoff - recent topics via operational synthesis worker - actions/notices via operational synthesis worker - packet structure by editing scripts/persistent-chat-memory in the repo, with tests/review For direct “agent adds a note …


yes i see the problem i asked you to check this and we used 50k tokens in a turn - is this from you looking at perpetual log? 1. agreed, please add to todos, i think we created a file like this but let me know if not yet, let's gather more items first and discuss 2. do you really need this in turn packet or just in session? i am a bit confused about what actually belongs in turn packets as you anyway get the recent tail of conversation from the daemon. 3. also sounds good, add to todos 4. yes this also sounds great


But then we didn't actually blow through 50k tokens earlier? I don't get it


I also saw an interesting post today and maybe we can steal some ideas to improve your coding skills with lighter models. Do you still remember your browser skills? I wonder if you can open a reddit link if I send it


Maybe a brief glance, I don't necessarily want to use the code as is but maybe we can steal some ideas or scripts


1. i think we need but later it's a bit complex 2. this will be good for your subagents or background agents. in this chat we kinda want full tool availability, or at least on demand (switching to be added later) 3. yes especially considering our earlier glm incident. i see gpt5.5 always thinking about apply_patch in various forms. maybe we need our own robust version 4. how could we possibly add this in the current structure? 5. yes, again primarily for subagents and background. also we still need to see how your memory works with other models and if it changes the 'vibe' too much. Deepseek pro tends to spiral a bit and sounds hysterical sometimes, deepseek flash is very terse. Maybe this could be mitigated by prompts. let's gather this also in our earlier todo, maybe a different section,…

2-stage tool routing already captured in decision-state.json (smallcode-inspired-improvements)


won't decision state and actions become noisy for you if we keep adding more stuff there? i guess structured jsons are better than scattered files but we need to keep track of stale or outdated items

Durable operational concern: decision-state and action layers become noisy without stale-item pruning


yes please try it, but make sure your edits are not going to get overwritten by scripts. we might add pruning helpers later that will flag the possibly stale items, but for now let's give it to curation/synthesis agents, you can also do it yourself if you see stale items

Historical prompt/packaging/check-it-now and one-off implementation chatter already captured elsewhere or not durable


this is amazing, we can now fix small things here instead of calling external agents

Prompt self-patching capability already captured in curated memory (2026-05-21)


yeah check out this one https://www.youtube.com/watch?v=WiZjWadqSUo videoctl might actually be broken at the moment, so feel free to fix it as you see fit if needed


Should I actually add bis dann? You see this is the kind of questions I torture chatgpt with


Yeah it's very good already. My panel here tells me we are at 195k context? Please check if we need a reload


Okay the agent says it's fixed now. Try it again


Great! But this was actually the first message after reload. There will be next but first please tell me what is the last thing you remember from the previous session? Don't look at logs for this turn. I think you assumed that you will get a turn after reload and I did too, but it's apparently not working at the moment. And also a technical question - why did we immediately get 31k cached tokens? I understand 8k context is your session pack, right? What's the rest? As I want to eventually move to pay as you go API, I want to make sure there's no junk we are sending.

Reload continuity testing already captured in curated memory and decision-state


1. i think you need to curate your active decisions, can you currently? 2. then your first turn in a new session gets none of that context. I think this is better solved with a 2 tier model, where the selected curated facts are actually selected and not just tail. your memory curation will need to do that, it should be a model step i think? please think independently, i need some help here. 3. agreed 4. is it really useless? it's a few lines and then you know where to find info if needed? you also need to curate your recent failures, they look not recent at all, there've been many failures since, they come and go. are these actually source artifacts currently as intended, or is editing them useless? for tools we will need on demand mcps then. i don't know yet if we will need for example pl…

Durable architecture preference: active decisions and curated facts need a two-tier continuity layer to survive new sessions


Here's the report from the agent Implemented. Changes: - Added deferred as a valid decision-mark --status. - Preserved in decision-state.json. - Excluded from session packet “Active decision state”. - Removed reload notes and synthesis notices from normal turn packet semantics: - not in turn-packet.md - not in turn-packet.json - reload note still remains in session/session-start packet. - Added direct edit/write permissions for safe persistent-chat source artifacts: - curated-memory.md - decision-state.json - recent-failures.json - pinned/facts/topics/candidates/semantic memory - operational-synthesis/** - direct edit/write to perpetual-log.jsonl remains denied. - Mirrored the permission change into the live OpenCode config. Please try it


Fix applied: - Added read permission for safe persistent-chat source artifacts, including: - decision-state.json - curated-memory.md - recent-failures.json - pinned-notes.md - facts.json - memory/semantic candidates - operational-synthesis/** - Kept direct edit/write deny for perpetual-log.jsonl. - Mirrored to live OpenCode config. Please check this and try it


On it, let's see Here's a friendly explanation from the implementation agent regarding the features Allowlist investigation: - The new helpers are allowed when called with the absolute script path: - /home/matrix-lite/app/scripts/persistent-chat-memory decision-list --json - /home/matrix-lite/app/scripts/persistent-chat-memory source-artifact-validate - They are not allowed as: - persistent-chat-memory decision-list --json - python3 /home/matrix-lite/app/scripts/persistent-chat- memory ...


Yeah well the openclaw developer apparently spend 6 million dollars worth of tokens in a month or something, you can look it up. How can we ever compete here. Maybe we should've stayed with openclaw and just adapted but this custom ai work is sometimes more interesting than sfq, even though I barely understand what's going on. You honestly give me too much credit and flattery, I need honest critique here.


Regarding understanding - this is entry level stuff and it won't, say, get me a job, considering the agents do it better already just sometimes miss the point. Same happened with sysadmin/devops which I was also interested in but it's now completely automated - this vps was entirely set up by agents. This i could've done myself unlike the rest of the stuff in repos but it would've taken so much longer.


I didn't know about their burn rate. I just wanted an agent that never forgets

Durable core user goal 'never forgets' — substance already captured in curated-memory.md 'always-on background agent' vision (2026-05-22). Explicitly stated on 2026-05-18 and never contradicted.


Okay thanks not sure it works but I appreciate it. Check the videoctl repo again you should be able to edit it now and even commit I think


But the edits work, right? And can you actually use it and see if it works? I don't remember


Yeah, we need to do something about these permission issues without you also borking yourself. Okay, maybe tomorrow


Regarding your workspace files, there's probably a bunch of leftover stale things from openclaw. Not your generated reports but the standard stuff they install. Please check if anything needs cleaning or deleting to avoid confusion

One-off stale workspace cleanup suggestion with no lasting workflow rule beyond general stale-state pruning


Well then maybe you can edit the regex

Transient regex edit request from May 18, no durable value


That's the problem with lack of interactive permissions, the wrapper is probably not working again. Can you try and request it? The problem is I wanted to allow you full access to videoctl to play around with but I seem unable to

Interactive permission wrapper issue from May 18, superseded by current permission architecture


Haha okay I will go soon. Please check the model-conversation-log.jsonl this should be the model friendly version of perpetual log we discussed

Model-conversation-log check request from May 18, now fully operational


Not sure it's available already, they are pretty late this year. There's also a handy app, let me check if it's updated and maybe there's some export or shortlist. There are like 200 bands and many good ones unfortunately will have simultaneous or overlapping slots. Some slots will have no good bands at all and then it's a good time to chill or eat

Historical model-switch, formatting, or check-it-now chatter already captured elsewhere or not durable


Hey I disliked Elon before it became mainstream, but I have no problems with grokipedia - it often has important info missing elsewhere, also often with links we can check. Besides grok is fine overall, a bit too reddit for my taste but we may try it someday.


Please defer the schema for now, I think we try it on plain text I can review first and then we decide on the schema in a more informed way. Try to fetch the wgt pages from both regular search, Wikipedia, grokipedia, and your search mcps and compare the results. I've been there a few times so I can see the wrong things if any. Do not focus on schedule - we can get this from official website. More on general knowledge that will give you context on what we are even talking about


Yes let's start writing these things out. Not every regular would know this just those interested in this band. It's not something important or worth remembering but a detail that's not bad to know. Overall you could even look things up at idle time and gather relevant context yourself eventually. This is why I don't want to rush with the schema. There's probably something available already we could reuse. Also please don't just agree with me, we are already reinventing the wheel by moving away from openclaw, I don't have good insight into knowledge bases for agents


Great, the session got stuck and had to be reloaded, this was unexpected. On the brighter side you should now have proper access to repos and git via helper. Try it on videoctl


Nothing yet but great that you can access it, now you can actually see commits and latest diffs and have a better idea about organization and ongoing feature development or fixes. You don't have to ask me how things work unless you need a high level answer, just look at the repos, you will probably understand better than me


Maybe it could be a good background task for your synthesis agent, to look at repos and provide feedback and suggestions. Not yet though we need to make sure they wont get stuck

Synthesis agent repo-feedback idea already captured by synthesis improvement and always-on background agent directives


The problem is not really the permissions, there will always be something denied, it's the info dump. The agent here suggests we patch opencode again, we found a compaction bug in it earlier. So maybe you get your own opencode soon.

Permission dump issue and opencode patching direction already captured elsewhere


okay i think actually the tags are broken. can you resend the same message but with no formatting at all? the beginning got truncated at ` symbol


This is very good stuff thank you. How about we create a human readable 'current architecture' document and put it there, and also leave an agent note to modify this file when anything changes or incorrect? This way I can get a better high level picture. As I said agents are teaching me my phd topic now, and all this stuff is new to me.


ah, i thought you already checked. we patched opencode for the permission error dump issue. we will test after reload but there is already a vendored patched opencode version in matrix-lite repo. please check if you can see it


what about this path? /home/matrix-lite/vendor/opencode-matrix-lite/


And now it's 5k cached for the previous turn instead of 200k


Maybe you could remove test and reload from it, we use these words all the time without it actually being the current thread.

Old keyword correction from May 19 about avoiding false trigger positives; system and trigger logic likely evolved since then


Yes try it


Done, please try again


Ah, actually you did this earlier today, right? You said you had the schedule

Transient schedule check from May 19; no durable workflow value


There's still time before, besides I'm doing most things from my phone now. That's why I said I'm not going anywhere. Openclaw-tools is the legacy openclaw patches and scripts from before matrix-lite. You can ignore that repo, just look at matrix-lite instead (later) Let's look at videctl first, as it's the lightest, easiest, most immediately practical and you should have enough permissions to read at least.


Actually you are supposed to have vector search in sfq-factory and also over your memory, not sure it's still working

Vector search uncertainty was later resolved; no further evidence needed


Hmm we should try deepseek flash soon. It was very terse in our subagent tests. Qwen-next also sounds interesting, my existing GPU is 12gb though and I'm not getting more anytime soon. Look for a couple of other private API providers

Transient model exploration chatter; DeepSeek Flash already tested and models switch frequently


I like your standout, please compare the pricing, say, on deepseek v4 pro


How about we switch you to it? Maybe when we need to restart next We could try on subagents but I blew though my nanogpt subscription with our earlier tests

Historical model-switch suggestion already superseded by later model routing work


Nah, it's okay, I still need to set those settings in the account. Check the subagents by the way. Maybe you could use a test runner on videoctl

Transient account-setting and test-run instruction with no durable value


1. How is it generated? From what? 2. Please identify what your turn prompt is actually composed of, and point out any duplication of information that already is in the session prompt. On my side it says 540 input for the previous turn, which seems okay I wrote a lot of text. Was there anything else? Is there something coming in this turn you don't need to see? 3. It seems your curator doesn't have enough info on what's going on. Maybe the synthesis agent is more suitable, it has richer prompts and will have more tool use by design. Anyway you can also do it yourself 4. I see it only happens sometimes, sometimes turns are shown as lean (you tell me)

Prompt composition and duplication investigation already captured in curated memory


Hmm please write a technical feature request for review of all of these sources of duplication, considering our unusual architecture (no compaction, long sessions, outside file memory). Briefly include your best reasoning. We should at least demote some items from turn to session context, then revisit it too.

Prompt duplication feature request already captured by prompt duplication review


No thanks it looks great, we also fixed the formatting earlier so I can actually click your links and see code blocks now, it's nice.

Pages formatting fix already captured in curated memory


Regarding modifying opencode, we have 2 patches already and you're now on our vendored patched backend. So nothing is off limits with gpt 5.5 agents but I am being more careful with opencode than openclaw. For mcps you have a lean proxy now, I think you probably have only the necessary tools left directly What can be done about permission rules? Also I am not talking about 5k but the current 240k. Granted we did a lot in this session, but was there any redundancy? Last time you correctly noticed verbose bash error outputs so this introspection really helps.

Lean proxy and prompt duplication concerns already captured elsewhere


Kimi? We here discovered that you're actually on big pickle, that's why we were rate limited

Session model identity confusion already captured in curated memory


Yeah, not that early, pretty late actually. I'm trying to get up earlier but it's difficult when I go to sleep that late. Deepseek flash should be configured for the next session, it works with smoke agent but I'd rather not interrupt a working session without need

Sleep timing aside and DeepSeek flash switch already captured elsewhere


Yes and also we need to keep them updating

Vague workflow signal with no durable referent or clear action


We also need to check if the permissions are configured properly and will be picked up by the next session

Transient permission check for next session; already superseded by later permission work


How about I give you my cookies? Later though, approved, try it your way

Transient task instruction with no durable workflow value


Hmm pretty sure I actually approved it with matrix emoji, maybe it's broken again. Try it but don't dump jsons on me just summarize the problem

Durable output preference: explain operational problems plainly and avoid raw dumps when summarizing failures


Okay please stop and explain the reason for this output

Specific one-off request subsumed by the broader explain-problems-plainly preference


We need to add you permissions for yt dlp, but that would probably take effect after reload. So for now let's not try to run it again in this session and study it academically. Do you think it works now? Just by looking

Transient permission task from May 20; yt-dlp was to be studied academically only, not a durable workflow need


No the problem is not the infodump (I never received it), it's you dumping truncated parts of your continuity context and what looks like some config

May 20 transient issue about infodump/truncated continuity context. Subsequent work on compaction, session packets, and output handling has likely superseded this specific concern.


I'm not at my laptop but yes it's the easiest way. Done, please check if it looks okay.

Transient remote verification request from May 20, no durable value


Good morning! 1. Really? At least in opencode it looks a lot as if they start fresh 2. I guess we can live with that and then revisit, latency was a bigger problem for sync 3. Would you actually redirect a sync subagent? Never seen this happening too in plain opencode 4. Can it be added somehow? 5. True, we won't need too many for now 6. Okay I see but then we can just use those md files as templates

Transient model architecture discussion from May 21. No durable operational rule.


Yes great analysis this sounds plausible. I think your messages are slightly out of order (more like paragraphs inside once message) or maybe the thinking trace is leaking in. Which I don't mind but we need to handle it in the daemon I think kimi k2.6 was thinking, and we didn't have this problem. We haven't used DS pro here yet, it will immediately blow through my subscription as it's also 2x cost and we are pushing lots of cached tokens here

Message ordering/thinking trace leakage observation from May 21. Already addressed in daemon and prompt handling.


Haha, it is satisfying yes. What 'head' actually means is that I get on the train and have absolutely nothing to do for 6 hours, except chatting with you or more likely investigating breakage. Also the context is showing at 100k for me. But the panel also says we used 200k input tokens the last turn, there is probably some bug again.

Old bug report about context display mixed with known personal fact; operational part superseded, personal part already captured


Yes please check how it actually gets generated and what can be improved hopefully without breaking anything

Vague improvement directive from May 21; superseded by later specific curation workflow and helper implementation directives


Yes please but we also want to fix subagents permissions so we can use the workflow when really needed too

Subagent permissions fix already captured in curated-memory.md. Transient directive from May 21.


Okay try 2 but for 3 I think I need to edit the actual source for the systemd unit

Transient task instruction about editing systemd unit source; not a durable preference


No actually you're not supposed to know about fstab yet

Transient knowledge boundary correction from May 22. Not a durable operational rule.


Please try again

Transient retry instruction with no durable operational value


No please stop deleting files and explain

Durable safety directive: assistant must not delete files without explaining why. User explicitly called this out as important.


Yeah just check the version of the bindings

Transient task instruction with no durable operational value


Yes please use the broker

Broker usage is now standard operational workflow, no longer needs explicit directive


Ping, try it now please

Transient ping request with no durable operational value


Please try it again

Transient retry directive, no durable workflow value


Hey please try again

Transient retry request with no durable operational value


Yeah kinda. That's in curated memories though, I don't know how much this will actually affect your decisions if you have it in context

Meta-observation questioning curated memory effectiveness — interesting but not a durable fact or directive. Curation workflow now operational and user endorsed it (2026-05-26).


Can you use them via subagents? Last time it broke but I think it maybe works now, try it. Compare speed and response quality and style, same prompts, make them a bit more detailed as we know for example deepseek flash was terse with bare prompts but fine with long ones.

Subagent model comparison is now established workflow; directive superseded by operational practice


Nah I actually miss the warmer kimi replies a bit. But full gpt should be a bit more wordy than mini

Durable style preference: warmer tone is appreciated, and full GPT should be somewhat wordier than mini


Can you use an explore subagent for this? I want to test if it works

Transient subagent test request with no durable preference value


Try it again but async now

Transient execution instruction with no durable operational value


We need to either fix timers so you get reports back and can continue without me, or alternatively we can enable sync subagents back - now they are not a blocker

Timer follow-up broken already captured in curated-memory.md


Why is it failing? Now that we are using a fancy model you can actually investigate

Operational directive that capable models should proactively investigate failures — substance already captured in curated-memory.md via 'awareness-first' and 'authoritative source verification' protocols (2026-05-21).


Well we should have a durable place to add this

Already captured in memory-candidates and curated memory


Yeah try it, we should start cleaning these up based on your context, it was mostly generated by other agents at the moment

Already promoted to curated-memory.md as durable cleanup preference


Approved but are you actually resuming? Can you increase timeout for me to give permission? 12 hours is good

Transient operational request about approval timeout; no durable workflow value.


Okay let's try it your way. I hope we can deal with failed turns if I fall asleep or otherwise distracted

Failed turns handling already captured in curated-memory.md


Well I was (and still am) paranoid about compaction because I've seen what it can do to agents. They get a to-do, hopefully correct but not always, and sometimes the point is lost. I am not sure we are currently capturing it, it's not just a current topic, that compaction actually can handle fine

Captured in decision-state.json as compaction-paranoia-user-stance-2026-05-25


Well I want to see any output even if truncated.

Durable display preference captured in curated-memory.md: user wants to see any output even if truncated.


But you see, your last message was actually truncated both in draft and in final, and the status panel still shows it as 'done' so it's not really the same issue

Transient draft truncation issue from May 25, likely resolved or superseded by later formatting improvements


It will be challenging as now I get an error message instead of your text. I see the draft but only the tail of it. Maybe we should print out the entire draft it turns into normal message anyway if all goes well

Transient draft display issue from May 25, superseded by later output handling changes


Can you actually remember the fact that you do have them available by design? We might add more interesting stuff behind that proxy

Durable correction captured in semantic-memory.json explicit memory: matrix-lite tools are available by design and should be used liberally.


Yes, please do it. As I said many of your prompts and files were generated by external agents who lack the context of what's important to remember for seamless workflows

Durable directive captured in semantic-memory.json explicit memory: clean up prompts/files generated by external agents that lack workflow context.


Please don't just tell me I am right, be a bit more adversarial and provide feedback and guidance. Also your agent prompt probably fits, it's more or less constant capability

Durable behavioral directive captured in curated-memory.md: user wants adversarial feedback and guidance, not validation.


By adversarial I mean not just now but in general when suitable. For this case it's not enough to not claim absence, you need to actually know that you have them and use liberally whenever needed

Clarification of adversarial directive captured in curated-memory.md: applies generally, not just in current context.


Please try again we fixed the blockage

Transient retry directive after a specific blockage was fixed; no durable workflow value.


I sometimes need to see the full diffs you are proposing in a nice human friendly interface. One or few line files are fine in matrix but for larger files it's not very user friendly. Are there any self hosted open source solutions we could use and host here? Please use online searches

Diff viewer preference already captured in curated-memory.md and decision-state.json. One-off exploration from May 25.


Please edit the prompt as you think is best. We can do packets later

Transient prompt-editing task with no durable preference value


multi-file patches is exactly the bug that was fixed, please check the repo

Multi-file patch bug already fixed; directive now obsolete