Radar / AI infrastructure / Beacon
Beacon: open-source, self-improving memory for AI coding agents
Asymptote Labs launched Beacon, an open-source, cross-harness memory layer that lets AI coding agents remember project context across sessions and improve from it, alongside a $5.5M seed round; it hit #1 Product of the Day on Product Hunt on Nov 3.
Why it matters
Memory that works across different agent harnesses and improves itself, rather than being locked to one coding tool — a shared memory layer for agent workflows.
What you could build with it
An indie developer building a long-running coding assistant could plug Beacon in as the shared memory layer so the assistant recalls past decisions, conventions, and fixes across sessions instead of re-learning a codebase on every run.
Does it hold up?
Too early to judge: the code is public and the launch drew strong Product Hunt attention, but independent reports of teams running it in production have not yet surfaced.
Built with Beacon
- Beacon hits #1 on Product Hunt after $5.5M seed roundproducthunt · Asymptote Labs announcement of the seed round and the #1 Product of the Day placement for Beacon.
- Asymptote-Labs/agent-beacongithub · The open-source Beacon memory layer itself, verified live on GitHub.
Learn more
First spotted on github: source.
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