AutoResearch-Factory/Agon
35 stars · Last commit 2026-08-02
Claude Code plugin for autonomous AI research — multi-agent loops take a bare topic all the way to running experiments, with no human-written experimental code.
README preview
# Agon ### Claude Code plugin for autonomous AI research — from a bare topic to running experiments, with no human-written experimental code [](https://haizhaoyang.github.io/research/autoresearch.html) [](https://arxiv.org/abs/2606.24177) [](https://claude.com/claude-code) English | [中文](README_zh.md) **Agon** ([paper](https://arxiv.org/abs/2606.24177)) takes a research project from a one-line topic to running experiments. Agents plan, implement, audit and review each other in closed loops, and every handoff goes through a file on disk — so a run is recoverable, auditable, and reusable across projects. The workflow stays minimal and explicit: `topic → idea → proposal → experiment`. Agon is built on [**Prompt Economy**](https://arxiv.org/abs/2606.08878): treat prompt engineering as engineering, and minimize the engineering effort it demands from humans. See the [paper](https://arxiv.org/abs/2606.24177) for deployment details across more than ten research domains.  ## Quick start Clone [Agon](https://github.com/AutoResearch-Factory/Agon) and [agon-artifacts](https://github.com/AutoResearch-Factory/agon-artifacts):