Memorine: A Local Memory System for OpenClaw Agents Using Python and SQLite

Memorine is a local memory system for OpenClaw agents built with Python and SQLite, requiring no external services, API calls, Docker, or telemetry. The entire system consists of about 8 files of pure Python code that creates a local .db file for memory storage.

Core Features

• Agents store facts and retrieve them later using full-text search
• Memories decay over time using a forgetting curve to prevent accumulation of old data
• Automatic flagging of contradictory information when new facts conflict with existing ones
• Causal chaining of events (this caused that, which caused this other thing)
• Procedure tracking with learning about which steps tend to fail
• Multiple agents can share facts through the same database
• Each agent can only modify its own data, preventing cross-agent memory interference
• Optional semantic search via fastembed + sqlite-vec extensions

Integration and Tools

The system includes an MCP server that allows OpenClaw to recognize it as a plugin, providing 14 tools to all agents once configured. The database file can be inspected directly using any SQLite browser.

Technical Details

Memorine has zero dependencies beyond Python and SQLite. There are no network calls, compiled binaries, or native extensions. The codebase is small enough to be read completely in an afternoon according to the developer.

The project is available on GitHub with open pull requests for bug fixes and feature additions. It's also published on PyPI for easy installation.