I made it so any agent can agent can use any context form another agent. Claude learns from codex, visa versa.
Summary
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.
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Lore: The MCP that lets your AI agents share session history. Any chat, any agent, anytime.
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.
@svpino: You can now have Claude Code collaborate autonomously with Codex and any other agent. This is going to break the intern…
You can now have Claude Code collaborate autonomously with Codex and any other agent, enabling multi-agent cooperation in AI coding tasks.
One skill to let AI agents work as peers: make Codex and Claude talk to each other
A developer created an open-source skill that bridges Claude Code and Codex CLIs, allowing AI agents to hand off tasks to each other without manual copy-pasting.
A powerful local memory and autopilot layer that utilizes SQLite to enhance coding agents (Claude Code, Codex).
Cortex is an open-source local memory and autopilot layer for coding agents like Claude Code and Codex, using SQLite to persist context across sessions and optionally run tasks autonomously.
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.