Evotown — Evolution Testing Platform Puts evolution engines in a controlled environment for evolution effect validation — OpenClaw-style stacks, Hermes, your own harness, or optionally SkillLite. Evotown does not require a specific upstream; use the ingest API to attach runners. Economy rules are configurable, reproducible, fully local, and do not depend on virtual/cryptocurrency. Evotown — Evolution Arena Language: English | 中文 Prerequisites Python 3.10+ Node.js 18+ Skills workspace: backend expects a project tree with or (layout depends on the agent backend you wire in).
| Stars | 663 |
| Forks | 63 |
| Language | Python |
| Category | Codex 技能 |
| Quality Score | 68.9193904535691/100 |
| Open Issues | 35 |
| Last Updated | 2026-08-24 |
| Created | 2026-03-02 |
| Platforms | docker, python |
| Est. Tokens | ~15k |
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evotown is a middle platform for enterprise Agent runtime governance and capability assets — connect OpenClaw, Hermes, SkillLite, and custom runtimes in one place; accumulate Skills and enterprise knowledge; pro. It is categorized as a Codex 技能 with 663 GitHub stars.
evotown is primarily written in Python. It covers topics such as agent-skills, evolution, runtime-governance.
You can find installation instructions and usage details in the evotown GitHub repository at github.com/EXboys/evotown. The project has 663 stars and 63 forks, indicating an active community.