开源本地Agent Atomic Agent超越Hermes

The 1st open-source local agent to surpass Hermes on GAIA benchmark.

Loop design, not model size, drove this whole gap.

@atomicagent_io , a local-first AI agent that runs on your machine, with local or cloud models. Open source on macOS, Windows & Linux.

Both agents drove qwen-3.6-35b-a3b, on the same task budget. Atomic Agent solved 37 of 53 tasks, against 31 for Hermes, and it ran faster too.

Most agent loops get costly because every turn re-sends the whole growing context, and small local models choke on that first.

Atomic Agent keeps turns cheap. One inference returns a grammar-checked JSON array of tool calls, reads run in parallel, results get summarized, and the fixed prompt reuses cached work.

Underneath sits a custom llama.cpp build called TurboQuant. It shrinks the memory cache up to 6.4 times and adds 30-50% more speed through tailored decoding. This is how a 9B model, qwen-3.5-9b, still cleared over half the same tasks at 52.8%.