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Cross-agent context and memory

Task continuity and durable knowledge are separate.

Task handoff​

The existing topic spec/worklog and persistent mirror preserve intent and execution state. Keep the root handoff compact: stage, scope/snapshot, decisions, dependencies, active/terminal packets, open questions, and evidence pointers. Raw transcripts/source/logs stay outside root context. After compaction, resume rather than rediscover or relaunch. Startup hooks retain bounded complete topic/worklog artifacts, context-disable sentinels, and harness output envelopes. Per-turn hooks retain topic binding, correction hints, and growth/compaction-gated reinforcement.

Durable knowledge​

Automatic root hooks retain startup BM25 recall, depth-aware per-turn hybrid recall, relevance/workspace filters, embedder warm-up, full candidate staging, and admitted-ID deduplication. One pointer per session-topic binding requests root-owned admission; later retrieval stages silently. Candidate bodies do not enter the main prompt automatically.

Genuine corrections and decisions are captured with ,agent-memory note. Before delivery, verified reusable insights form one final learning batch. The memory-band operator retains search-first deduplication, metadata, and readback. No scribe per turn/correction, descendant memory worker, or repeated completed packet is allowed. If delegation is forbidden or unavailable, k-ai-kb supplies the same mechanics inline; an unavailable CLI leaves pending learning in topic history rather than losing it or retrying indefinitely.

Harness delivery​

Shared Python hooks serve their existing Claude/Codex/Cursor/Copilot/Antigravity/OpenCode adapters. Pi/OMP extensions retain topic/sentinel checks, worklog forwarding, and reinforcement, with matching retrieval/staging behavior and leaf suppression. Managed leaf preambles suppress optional Pi/OMP prompt-context injection; Pi's native child signal also suppresses it. Pi runtime parity does not append the complete root SOP to a managed leaf. The actual harness controls determine enforcement; no universal context-isolation guarantee is inferred from text.

Sources: shared session_context.py / perturn_recall.py, Pi/OMP ai-kb-recall.ts, runtime-parity.ts, and k-ai-kb. See hook memory for CLI/topic mechanics.