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Hivemind is presented as a continual-learning layer for coding agents that…

Brief

Hivemind is presented as a continual-learning layer for coding agents that composes traces, fixes and workflows into shared, reusable skills across models (Claude Code, Codex, Cursor, Hermes, OpenClaw, Pi). The open-source system runs on your cloud, installs in one line, and claims SkillOpt training gains of +19.1 (Claude Code) and +24.8 (Codex), winning or tying on 52 tested setups.

Source evidence

The future of coding agents is not more prompting.

It’s compounding.

Every trace, fix, workflow, and repeated pattern becomes a reusable skill your whole agent stack can learn from.

Hivemind is what happens when agents stop forgetting and start getting better.

Davit (@DBuniatyan)

Coding agents that actually get better the more your team uses them.

Introducing Hivemind: continual learning for AI coding agents.

Hivemind turns the traces from every agent your team runs (Claude Code, Codex, Cursor, Hermes, OpenClaw, Pi) into reusable skills, then pushes those skills across all of them. All on your cloud storage.

Now with SkillOpt built in, your skills get trained: +19.1 points of accuracy in Claude Code, +24.8 in Codex, best or tied on all 52 setups tested.

Open source, one line install.

Video

— https://nitter.net/DBuniatyan/status/2063998242224804246#m