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

Project documentation lists retrieve_agent_context for the Agent Memory Engine MCP server. Add the server to your MCP client (Claude Desktop, Cursor, Windsurf and others), then check which tools your installed version makes available. Tool availability can depend on configuration and credentials. A server handshake does not verify this tool’s behavior. See the full listing for setup details.

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.