Schema | agent-memory-mcp

agent-memory-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
`MEMORY_DEBUG`	No	Set to "1" for info logs, "verbose" for debug
`MEMORY_DB_PATH`	No	Path to SQLite database	~/.agent-memory/memory.db

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
memory_storeB	Store a new memory with provenance tracking. Use for lessons learned, strategic insights, operational facts, or preferences.
memory_recallB	Recall memories ranked by decay-weighted relevance. Supports keyword search and category/tag filtering. Returns memories with provenance and confidence scores.
memory_feedbackA	Record whether a recalled memory was useful. This drives the learning flywheel — memories marked useful bubble up, unused ones decay away.
memory_statsB	Get statistics about the memory store (counts, categories, avg confidence).

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/kira-autonoma/agent-memory-mcp'

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