Agent Memory Engine
未认领Memory Engine is a local-first MCP server that gives coding agents persistent, evidence-backed project memory. It automatically builds a project knowledge base, retrieves relevant architecture, constraints, incidents, and source context before complex tasks, and retains verified lessons after successful work.
安装
uv pip install 'memory-engine[semantic-transformers]' # sentence-transformers + sqlite-vec工具（7 个）
inspect_knowledge
Inspect a KnowledgeChunk or source file range (redacted)
inspect_memory
Drill into a MemoryNode, its children, and evidence
memory_status
Project health, retrieval mode, index counts, revisions
reflect_and_write
Report validated work to the reflection pipeline
refresh_project_knowledge
Trigger incremental rescan; also builds Phase 10 proposition/paragraph/summary layers
retrieve_agent_context
Retrieve memory + knowledge before a coding task. Phase 10: pass taskintent, preferredlayers, propositiontypes to guide granularity routing.
seed_project_context
Call once on new projects. Write initial constraints, decisions, project description, and conventions directly as active memory nodes. Auto-extracts from README.md when fields are omitted. Eliminates cold-start problem.