ErebusEnigma/context-memory

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

How to use

Install

pip install mcp                    # Install the optional dependency

Tools exposed

• mcp_server.py

Example client config

{\n  "mcpServers": [\n    {\n      "name": "context-memory",\n      "path": "~/.claude/context-memory/scripts/mcp_server.py",\n      "transport": "stdio"\n    }\n  ]\n}

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.