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chiguyong f858d279f3 feat(agentkit): Phase 3 upgrade - persistence, memory, evolution, observability 
10 Implementation Units across 3 phases:

Phase A - Infrastructure:
- U1: RedisTaskStore with Redis/memory backend + factory function
- U2: TraceRecorder for execution trace recording
- U3: PersistentEvolutionStore with SQLite backend

Phase B - Core Capabilities:
- U4: MemoryRetriever integration into ReAct engine
- U5: Embedder abstraction + EpisodicMemory vector search
- U6: LLMReflector for LLM-in-the-loop reflection
- U7: SkillPipeline for multi-skill orchestration

Phase C - Enhancement:
- U8: SKILL.md format + progressive disclosure levels
- U9: ContextCompressor + prompt cache rendering
- U10: Structured logging + metrics endpoint + enhanced health check

Tests: 924 passed, 18 skipped, 0 failed
 		2026-06-06 17:17:45 +08:00
..
skills feat(configs): add GEO AgentKit Server configuration 2026-06-05 23:25:14 +08:00
__init__.py feat(configs): add GEO AgentKit Server configuration 2026-06-05 23:25:14 +08:00
geo_handlers.py feat(agentkit): Phase 3 upgrade - persistence, memory, evolution, observability 2026-06-06 17:17:45 +08:00
geo_server.py feat(configs): add GEO AgentKit Server configuration 2026-06-05 23:25:14 +08:00
geo_tools.py feat(streaming): Phase C - LLM streaming + ReAct events + SSE endpoint 2026-06-06 11:54:17 +08:00
llm_config.yaml feat(configs): add GEO AgentKit Server configuration 2026-06-05 23:25:14 +08:00