OpenClaw Shared Memory Plugin: SQLite-Based Multi-Agent Coordination

A developer has created a shared memory plugin for OpenClaw multi-agent environments to address the isolation problem where agents operate without knowledge of each other's decisions and context. The plugin uses SQLite and Markdown as the source of truth, requiring no external services, Docker, or internet connection—it works offline with a local embedding model by default.

Key Features

• Memory Sharing: Agents can explicitly share memories using a memory_share tool, or operate in implicit mode where a cheap model automatically extracts and shares context after each turn.
• Access Control: Not all memories are shared with every agent; there's basic access control to manage what information is distributed.
• Entity and Relationship Tracking: The system tracks entities and relationships across agents, so information like "Alice manages the auth team" becomes known to all agents, not just the one that learned it.
• Contradiction Detection: The plugin flags when two agents have contradicting information, helping maintain consistency.
• CLI Tools: Includes a command-line interface to inspect shared memory, find contradictions, and rebuild the index.

The plugin was developed in response to workarounds like using Google Sheets for shared context, which the author found inadequate. It's designed to be consistent with how OpenClaw operates, focusing on simplicity and local functionality. The current implementation is available on GitHub, though it still lacks features like memory pruning and per-agent granular access control lists (ACLs).