ErebusEnigma/context-memory
by Various
Persistent, searchable context storage across Claude Code sessions using SQLite + FTS5
MCP
ErebusEnigma/context-memory
Added 1 June 2026
Overview
A Python tool that stores context from Claude Code sessions in a local SQLite database with FTS5 full-text search. It enables persistent memory across sessions by saving and retrieving conversation history and project-specific data.
Best for
Best for
Developers using Claude Code who need persistent session memory
Use cases
- Persisting conversation context between Claude Code sessions
- Searching past interactions for specific details or decisions
- Maintaining project-specific memory across multiple sessions
Notes
A Python tool that stores context from Claude Code sessions in a local SQLite database with FTS5 full-text search. It enables persistent memory across sessions by saving and retrieving conversation history and project-specific data.
4 stars on GitHub. Last updated 2026-02-17. Licensed MIT.
Use cases
- Persisting conversation context between Claude Code sessions
- Searching past interactions for specific details or decisions
- Maintaining project-specific memory across multiple sessions
Pros
- Lightweight local storage with SQLite
- Full-text search via FTS5 enables quick retrieval
- Open source and customizable
Cons
- Requires manual setup and configuration
- Limited to Claude Code sessions
- No built-in cloud sync or collaboration features
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Lightweight local storage with SQLite
- Full-text search via FTS5 enables quick retrieval
- Open source and customizable
Cons
- Requires manual setup and configuration
- Limited to Claude Code sessions
- No built-in cloud sync or collaboration features
Pairs with
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