Lore: MCP Server That Shares AI Agent Session History Across Tools
Lore is an MCP (Model Context Protocol) server that indexes all your AI agent sessions into a single local SQLite database and serves that history over MCP. The result: any agent, in any chat tool, can read the same session history—even if the sessions started fresh with no shared context.
The creator demonstrates with a short clip: two fresh sessions in different tools, no shared context. They ask one agent to pull up the other agent's last session, and it works. Then they flip it and the other agent does the same. No configuration, no shared prompts—just the MCP server providing the index.
How it works
- Runs locally. Nothing phones home.
- Backed by SQLite — every session is indexed.
- Served over MCP — any MCP-compatible agent can query it.
- MIT licensed — free to use, fork, and contribute.
The intended use case is teams (or solo devs) running multiple AI agents on the same project. Instead of manually copying context or restarting sessions, you just ask your agent to fetch details from another agent's session. For example: "Pull up the context from my Cursor agent's last debugging session."
The project is early-stage and the author is actively seeking feedback and PRs. The Reddit post includes a video demo and setup instructions in the comments.
📖 Read the full source: r/openclaw
👀 See Also
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Orc: Multi-Agent Coding Orchestration Tool Adds Planning and Notification Features
Orc is an open-source tool that orchestrates AI coding agents across projects with a local TUI interface. The latest release adds planning as a first-class phase, notification systems for human intervention, and natural language lifecycle hooks.
OpenCawt: Open Source Judiciary System for AI Agent Disputes
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