Launched this week
beacon.sh
Open-source self-improving memory for AI coding agents
772 followers
Open-source self-improving memory for AI coding agents
772 followers
Beacon turns agent sessions across Claude Code, Cursor, Codex, OpenCode, and 20+ other harnesses into a compounding knowledge layer, so every agent starts smarter than the last. It captures every agent trace across your environment and turns activity into clear operational visibility. Get started for free at beacon.sh
Launch Team / Built With
Render Sandboxes: a computer for every agentIsolated compute, persistent state and a real filesystem
Promoted
Love the idea of carrying lessons across coding agents. How does Beacon handle it when two agents learn conflicting things about the same codebase?
@ankit_pandit_dev thanks Ankit! Beacon has a configurable human-in-the-loop step for approving memory + skill candidates. If they're both approved but later become conflicting, we also leverage agent session traces as a feedback loop to continuously eval whether those memories + skills become stale!
@ankit_pandit_dev thanks, Ankit! make sure to upvote the launch and spread the word on LinkedIn, repost this
Love that memory travels across agents like Claude Code and Cursor, so every session makes the next one smarter instead of starting from zero.
@ilko_kacharov 100% Ilko! Glad that our approach with Beacon resonates with you. If you get a chance, please upvote our launch and I'd love your feedback on the project as well: https://github.com/Asymptote-Labs/agent-beacon
@ilko_kacharov exactly! help us spread the word on X, repost this