EvoHarness — security grade SAFE, quality 62/100

Security audit verdict: SAFE · quality 62/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by iLearn-Lab · MCP Server · ★ 56

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

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About EvoHarness

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.

claude-codeevoevolutionevolutionary-algorithmsharnessharness-engineering

Quick Facts

Stars56
Forks5
LanguagePython
CategoryMCP Server
Quality Score61.8405821897689/100
Open Issues1
Last Updated2026-06-29
Created2026-04-05
Platformsclaude-code, mcp, python
Est. Tokens~17k

Compatible Skills

These tools work well together with EvoHarness for enhanced workflows:

  • awesome-agent-harness — semantic(0.28)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)

EvoHarness alternative? Top 6 similar tools

Looking for a EvoHarness alternative? If you're comparing EvoHarness with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • omnicoreagent by omnirexflora-labs · ⭐ 250

    The governed runtime for Python agents you can let act: policy on every action, durable runs, sandboxes, budge

  • mue-x by KorroAi · ⭐ 239

    MUE-X - self-evolving AI agent. Standalone CLI works anywhere. No Claude Code needed. Gemini & Copilot adapter

  • maestro by ReinaMacCredy · ⭐ 232

    Local-first coordination for human and agent work: durable work, decisions, dispatches, evidence, and prompt-f

  • Autono by vortezwohl · ⭐ 213

    A ReAct-Based Highly Robust Autonomous Agent (Harness) Framework.

  • task-orchestrator by jpicklyk · ⭐ 207

    Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency g

  • sd0x-dev-flow by sd0xdev · ⭐ 188

    The harness layer for Claude Code — a reference implementation of harness engineering with hook-enforced dual

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Frequently Asked Questions

What is EvoHarness?

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 56 GitHub stars.

What programming language is EvoHarness written in?

EvoHarness is primarily written in Python. It covers topics such as claude-code, evo, evolution.

How do I install or use EvoHarness?

You can find installation instructions and usage details in the EvoHarness GitHub repository at github.com/iLearn-Lab/EvoHarness. The project has 56 stars and 5 forks, indicating an active community.

What are the best alternatives to EvoHarness?

The top alternatives to EvoHarness on Agent Skills Hub include omnicoreagent, mue-x, maestro. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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