🏆 Ranked list of 187 AI agent harnesses, plus templates, playbooks, MCP, and learning resources. Rescored weekly.
Best of Agent Harnesses is a curated directory of agent harnesses, which are runtimes that let AI models act by controlling tools, permissions, context, and saved state around an action loop. It helps people compare harnesses and use related templates, playbooks, and learning resources for building agentic systems. Catalogue entries include agents and other configurations that can query or support the listed harnesses.
This repository also configures its own agents. See what best-of-Agent-Harnesses tells them →
RyanAlberts/best-of-Agent-Harnesses
Agent Claude Code
Weekly movement briefing on the AI agent harness space — what climbed, what entered the radar, what died — from the best-of-Agent-Harnesses dataset, which rescores itself every week. Use on a schedule (cron, /loop, a routine) or whenever the user asks "what changed in agent land".
RyanAlberts/best-of-Agent-Harnesses
Agent Claude Code
Picks the right AI agent harness for a described task or project. Use when the user asks "what harness/framework/agent tool should I use", compares agent frameworks, or starts an agent project without a stack decision. Grounded in the live best-of-Agent-Harnesses dataset, never in training-data memory.
RyanAlberts/best-of-Agent-Harnesses
Agent Claude Code
Audits a codebase's AI agent stack against the live best-of-Agent-Harnesses dataset — finds which harnesses the repo uses, flags dead or graveyarded ones, and names live replacements. Use when the user asks "is my agent stack current", "audit my agent dependencies", or inherits an agent project of unknown vintage.