catfish-1234/sessionmem
by Various
Local-first MCP memory layer for AI coding assistants — persistent cross-session memory, stored entirely on your machine
MCP
catfish-1234/sessionmem
Added 18 June 2026
Overview
Local-first MCP memory layer for AI coding assistants. Stores persistent cross-session memory entirely on the user's machine. Built in TypeScript.
Best for
Best for
Developers who want persistent, private memory for AI coding assistants without cloud storage
Use cases
- Maintain context across AI coding sessions without cloud storage
- Store project-specific knowledge for repeated use
- Enable offline memory persistence for AI coding assistants
Notes
Local-first MCP memory layer for AI coding assistants. Stores persistent cross-session memory entirely on the user’s machine. Built in TypeScript.
3 stars on GitHub. Last updated 2026-06-16. Licensed MIT.
Use cases
- Maintain context across AI coding sessions without cloud storage
- Store project-specific knowledge for repeated use
- Enable offline memory persistence for AI coding assistants
Pros
- Local storage ensures privacy and no cloud dependency
- Cross-session memory reduces repeated instructions
- Open source and self-hosted with a TypeScript codebase
Cons
- Limited adoption and community support (3 stars)
- Requires manual setup with MCP-compatible assistants
- Potential memory overhead for large projects
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Local storage ensures privacy and no cloud dependency
- Cross-session memory reduces repeated instructions
- Open source and self-hosted with a TypeScript codebase
Cons
- Limited adoption and community support (3 stars)
- Requires manual setup with MCP-compatible assistants
- Potential memory overhead for large projects
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