retrieve_agent_context

MCP tool from Agent Memory Engine by uudam42

Retrieve memory + knowledge before a coding task. Phase 10: pass taskintent, preferredlayers, propositiontypes to guide granularity routing.

How to use it

retrieve_agent_context is exposed by the Agent Memory Engine MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), and the retrieve_agent_context tool becomes available to the model automatically. See the full listing for setup details and every tool this server provides.

Install Agent Memory Engine

$uv pip install 'memory-engine[semantic-transformers]' # sentence-transformers + sqlite-vec

FULL AGENT MEMORY ENGINE LISTING

Other tools in Agent Memory Engine (6)

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

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.