Lore: The MCP that lets your AI agents share session history. Any chat, any agent, anytime.
Summary
Lore is an open-source tool that uses the Model Context Protocol (MCP) to share session history between AI agents, storing all data locally in SQLite. It enables agents to access each other's past sessions without external dependencies.
Similar Articles
I made it so any agent can agent can use any context form another agent. Claude learns from codex, visa versa.
Lore is a local tool that indexes AI agent sessions into a SQLite database and serves them over MCP, allowing different agents (e.g., Claude and Codex) to share and retrieve each other's context across sessions.
Lore – Give your coding agent the decisions your team made
Lore is an open-source tool that stores team decisions as typed Markdown files and serves them deterministically to coding agents (like Claude Code, Cursor) via MCP, ensuring agents follow documented requirements instead of guessing.
Sharing something I’ve been working on: LoreKit (agent memory system) - seeking feedback
Mads announces LoreKit, a free and open-source agent memory system with CLI, MCP, and web UI, designed to share memory across sessions, teams, and environments.
I gave my AI agents a shared memory via MCP — here's how
Nexus Memory is an MCP-native memory server that allows AI agents to share context via a unified protocol, enabling persistent and coordinated memory across different agents without custom integration.
Free open source tool to help you keep the same context across chats and LLMs
A free open-source tool has been developed to condense chat history into a markdown file, enabling users to maintain context across different AI models and chat sessions.