best-of-Agent-Harnesses: Ranked list of 187 AI agent harnesses, plus templates, playbooks, MCP, and learning resources. Rescored weekly

by RyanAlberts · MCP Server · ★ 1.4k

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

Security audit verdict: SAFE · quality 60/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-frameworkagent-harnessagentic-aiagentsai-agentai-agent-frameworkai-agentsai-toolsawesome-listbest-of-list

Quick Facts

Stars1,431
Forks97
LanguagePython
CategoryMCP Server
LicenseCC-BY-SA-4.0
Quality Score60/100
Open Issues11
Last Updated2026-11-01
Created2026-03-07
Platformsclaude-code, mcp, python
Est. Tokens~25k

About best-of-Agent-Harnesses

Best of Agent Harnesses and Harness Techniques 🏆  Curated list of AI agent harnesses, orchestration frameworks, and harness techniques for reliable agentic systems. What is an agent harness? A model answers; an agent acts. An agent harness is the runtime that turns one into the other — the model thinks; the harness decides what that thinking is allowed to touch.

best-of-Agent-Harnesses alternative? Top 6 similar tools

Looking for a best-of-Agent-Harnesses alternative? If you're comparing best-of-Agent-Harnesses 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.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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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