I’d like to share Luthn, an open-source project for sharing project memory between AI agents.
Luthn connects to Codex and Claude Code through their hooks and MCP. After a turn, it collects a bounded capsule of the agent’s final response, classifies and redacts it, and makes permitted context available for later tasks. When a new task starts, the agent can retrieve a small context pack.
The project runs on infrastructure you manage, using Docker and PostgreSQL. It also includes a local operator console for reviewing sensitive-access requests. The goal is to let agents reuse project context while keeping private source material outside their default context.
Repository: GitHub - JakobSung/Luthn: Self-hosted shared memory and safe context for AI agents. · GitHub I’m interested in feedback on both the design and the problem itself: