Honeycomb

Honeycomb

Shared, persistent memory for your AI coding agents. What one harness learns, every other one recalls, across sessions, tools, devices, and teammates.

      

A Legion Code Inc. × Activeloop collaboration.

AI coding agents forget. They forget across sessions, and they forget across tools. A decision you reached in Claude Code at midnight is invisible to Cursor the next morning. Honeycomb fixes that. A local daemon captures what happens on every turn, distills it, and serves it back to any harness that asks. Learn something once; recall it everywhere, on any machine, in any tool, for anyone on your team.

It answers the questions you keep paying for twice: What did we decide about this? Why is it built this way? What fixed it the last time it broke? Who on the team already solved this?

New here? One command and you're on a dashboard. Jump to Install. · Want the docs? Everything lives at theapiary.sh.

🛹 For AI Augmented Devs

Stop re-explaining your project to a fresh agent every morning. Honeycomb remembers your decisions, your conventions, and the fixes that worked, then primes your next session with them automatically. One install command, a friendly dashboard, no SQL, no config gauntlet.

🏢 For Enterprise Teams

One shared brain across every developer, device, and coding tool. A skill discovered by one engineer propagates to the whole team on their next session. Tenancy is enforced at the storage layer; credentials live behind a single loopback boundary; everything is versioned and auditable.

✨ What makes Honeycomb different

A vector database can store text and hand it back by similarity. Honeycomb does that, and then keeps going. On top of Activeloop Deeplake, Legion Code builds the memory system that turns raw recall into a brain your agents actually trust.