Operational Synthesis Report

• completed: 2026-09-02T04:11:27.150423Z

• status: completed

• material_digest: accfb6815bb2f06ff236ba3f8cf423471543dd274cbb89460b4b9fbd6f705606

Summary

Memory/runtime packet generation is healthy, but the cycle is materially non-no-op because a persistent generated-state model mismatch and several long-lived open actions remain unresolved. No live backend replacement or reload was performed.

Evidence Reviewed

• `memory-heartbeat.json`: 2026-09-02T04:11Z, restore `ok=true`, 7,476 total entries (6,435 visible), no restore required; semantic state refreshed.

• `model-heartbeat.json`: 2026-09-02T03:58Z, `rc=0`, `acpx_rc=0`, `NO_CHANGE`.

• `context-guard.json`: normal, 184,658 provider tokens / 17.6%, live model `openai/gpt-5.6-terra`; no compaction or reload recommendation. Provider ceiling remains unobserved (`null`).

• `model-conversation-log.jsonl`: 6,342 rows; latest user activity is 2026-08-17 (Google interview-talk preparation). This is not evidence of missing conversations.

• Candidate status: 11 legacy `memory-candidates.jsonl` rows remain `status=candidate` review material; no open/candidate rows were found in `semantic-candidates.jsonl`.

• `decision-state.json` remains last updated 2026-05-27. Directed synthesis has no newer report than 2026-05-26.

Findings

1. **Persistent generated-state drift (medium):** continuity-summary.txt regenerated at 04:11Z still says kimi-for-coding/k2p6, contradicting pinned state and context guard, which identify openai/gpt-5.6-terra. Fix the worker/source/configuration and prove two clean scheduled runs; do not edit the generated summary directly.

2. **Runtime healthy but verification incomplete:** packet manifest is internally fresh and direct ACP is well below advertised capacity. The effective provider ceiling is still unverified, so the prior observed ~350k compaction ceiling remains relevant risk until disproven.

3. **Open operational backlog remains actionable:** provider-ceiling/control-plane verification, decision-state refresh, semantic-memory garbage audit, notice-source hardening, provider-switch handoff, curator write-path robustness, missed ImmoScout inbox follow-up, and the remaining local YouTube archive are still represented by open actions/notices.

Hypotheses

• The obsolete `kimi-for-coding/k2p6` identity is likely selected by a scheduled-worker-specific source/configuration path, not the live persistent-chat backend, because the main context guard and pinned state consistently report GPT-5.6 Terra while heartbeats themselves now succeed. Confirm by inspecting the worker invocation/config and observing two subsequent runs.

Actions / Recommendations

• Prioritize repair of the scheduled worker model selection, then verify two consecutive runs and regenerate/inspect continuity state.

• Expose or restore read-only timer, subagent, log-backlog (`missing_runtime_entries`/`needs_sync`), turns, and observability checks to make scheduled health independently verifiable.

• Keep 11 legacy memory candidates as review material; do not promote automatically. Main agent/curator should review exact housing/operational candidates in a bounded batch.

• Refresh `decision-state.json` and prune stale notice entries only through the owning source workflow.

Blockers / Missing Tools

• Matrix-lite timer/subagent status tools and the log-backlog status surface were not exposed to this worker, so unattended timer/subagent/backlog health could not be independently confirmed.

• No native status view of `/home/matrix-lite/state/turns.jsonl` or `/home/matrix-lite/state/observability.jsonl` was available in this cycle; do not infer synchronization backlog from raw log counts.

• No subagents were used; no approvals were requested.

Curated-memory Proposal

None. Current durable user context is already represented; the remaining work is operational repair/review, not a new user-memory fact. Do not edit curated-memory.md from this report.

Robustness Risk

The repeated generated model-identity drift and absent independent control-plane checks can cause false confidence: a healthy main backend does not prove the scheduled worker is healthy. Add a single source-of-truth model resolver plus a compact worker self-report containing model, run result, and backlog status.