Add agent episodic memory store and deterministic-run harness#223
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Up to standards ✅🟢 Issues
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| Metric | Results |
|---|---|
| Complexity | 85 |
| Duplication | 1 |
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Round-2 web-research follow-up (multi-agent), batch 5 — two pure-stdlib tools surfaced by the agent/QA research, each wired through all five layers (facade,
AC_*, MCP, Script Builder) with headless tests + EN/Zh v15 docs + README sections.Features
utils/agent_memory) —AgentMemory/Episode: SQLite store of(goal → trajectory → outcome)episodes;remember/get/forget/recent/stats+recall(query)(dependency-free term-frequency / BM25-stand-in scoring) to inject past experience into the planner's context.AC_memory_*+ac_memory_*.utils/deterministic) —DeterministicRuncontext manager pins the RNG seed (restored on exit) and freezestime.time/time.time_ns(monotonic left intact), recording the choices viamanifest();seed_everythinghelper (AC_seed_everything+ac_seed_everything). Pure-stdlib — nofreezegundependency.Why these
Surfaced by a multi-agent web-research round (AI-agent/MCP + QA angles) as genuine gaps verified against the codebase. Skipped near-redundant candidates (per-action latency capture overlaps the existing
ActionProfiler).Verification
test/unit_test/headless/test_agent_memory_batch.py— 10 tests pass.import je_auto_controlPySide6-free.