by iLearn-Lab · MCP Server · ★ 54
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English | ZH-CN EvoHarness delivers terminal-native agent infrastructure: tools, commands, skills, agents, plugins, MCP, memory, approvals, and controlled self-evolution. Build with the project: shape an open, visible, and research-grade harness for coding workflows. <img src="https://img.shields.
| Stars | 54 |
| Forks | 5 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 61.8405821897689/100 |
| Open Issues | 1 |
| Last Updated | 2026-06-29 |
| Created | 2026-04-05 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~17k |
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EvoHarness is EvoHarness delivers terminal-native agent infrastructure: tools, commands, skills, agents, plugins, MCP, memory, approvals, and controlled self-evolution. It is categorized as a MCP Server with 54 GitHub stars.
EvoHarness is primarily written in Python. It covers topics such as claude-code, evo, evolution.
You can find installation instructions and usage details in the EvoHarness GitHub repository at github.com/iLearn-Lab/EvoHarness. The project has 54 stars and 5 forks, indicating an active community.
The top alternatives to EvoHarness on Agent Skills Hub include nanostack, ai-code-interface.el, omnicoreagent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.