s60yucca/mnemos
by Various
s60yucca/mnemos — indexed from awesome-mcp-servers-punkpeye
MCP
s60yucca/mnemos
Added 1 June 2026
Overview
Mnemos is a Go-based MCP server that provides memory and knowledge graph capabilities for AI agents. It stores and retrieves structured information using a graph database, enabling persistent context across sessions.
Best for
Best for
Developers experimenting with persistent memory for MCP-based AI agents
Use cases
- Give an AI agent long-term memory across conversations
- Store and query structured knowledge as a graph
- Integrate persistent context into MCP-compatible tools
How to use
Install
npx -y @s60yucca/mnemos setup claude Tools exposed
MCP-nativeAuto-summarizationmnemos_storemnemos_searchmnemos_contextmnemos_getmnemos_updatemnemos_deletemnemos_relatemnemos_maintainmnemos_runtimeshort_termlong_term
Tested with
Claude Desktop, Claude Code, Cursor, VS Code, ChatGPT
Notes
Mnemos is a Go-based MCP server that provides memory and knowledge graph capabilities for AI agents. It stores and retrieves structured information using a graph database, enabling persistent context across sessions.
9 stars on GitHub. Last updated 2026-05-19. Licensed MIT.
Use cases
- Give an AI agent long-term memory across conversations
- Store and query structured knowledge as a graph
- Integrate persistent context into MCP-compatible tools
Pros
- Lightweight Go implementation with minimal dependencies
- Graph-based storage enables rich relational queries
- Open source with a permissive license
Cons
- Very early stage with only 9 GitHub stars and limited community
- No documentation beyond the repository README
- Requires manual setup and integration effort
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Lightweight Go implementation with minimal dependencies
- Graph-based storage enables rich relational queries
- Open source with a permissive license
Cons
- Very early stage with only 9 GitHub stars and limited community
- No documentation beyond the repository README
- Requires manual setup and integration effort
Pairs with
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