MCP Memory Service
Self-hosted persistent memory for Claude and agent pipelines, over MCP, REST, OAuth and CLI.
Sources and review
Checked against public documentation on . Suitability guidance is our editorial judgment; this is not a performance benchmark or an endorsement.
Sharing one long-term memory across several agents or frameworks without a cloud service.
About MCP Memory Service
MCP Memory Service is a self-hosted memory backend for AI agents. Agents store decisions and share causal knowledge graphs, with autonomous consolidation over time, through MCP, a REST API, OAuth, a CLI and a dashboard. It works with Claude Desktop and OpenCode as well as LangGraph, CrewAI and AutoGen pipelines.
MCP Memory Service is listed in this index written primarily in Python, with 2.1k stars on GitHub. Its latest recorded repository push was in November 2026; that is not an ASE editorial review date.
Before connecting: access and data
This record's specific permissions have not been reviewed by ASE. Read the publisher's documentation before copying setup or connecting.
- List the accounts, files and services the enabled tools can read, change or execute. Check your actual credentials and discovered tools.
- Use narrowly scoped credentials and read-only mode where supported. Review proposed writes before approving them; a generated configuration does not apply these limits for you.
- Local launch is not local-only data processing. External services receive requests, and your client may pass tool results to its model provider. Check both destinations before sharing private data.
- Keep keys and browser session files out of shared config, repositories and screenshots. Know how to disconnect the server and separately revoke its credentials or account sessions.
pip install mcp-memory-service