RyanAlberts/best-of-Agent-Harnesses

๐Ÿ† Curated, ranked list of AI agent harnesses (100+) โ€” plus an MCP server, llms.txt & JSON so agents can recommend them too. Rescored weekly.

481 โ˜…33 forksPythonUpdated 2d ago

What you need to know

A curated, community-maintained list of 154 AI agent harnesses, orchestration frameworks, and harness techniques, published as a searchable site plus machine-readable harnesses.json, llms.txt, and an MCP server so agents can recommend harnesses too. Not a runnable server - it is a documentation/awesome-list with a query MCP server.

Install

claude mcp add agent-harnesses -- uvx agent-harnesses-mcp  (needs uv)

Usage

  • โ€ขAsk a coding/research agent to query the list via the MCP server: recommend (one pick + alternatives + what to avoid), compare/compare_for (2-4 harnesses side by side), pick_harness (ranked with complexity/autonomy/recovery filters), search_harnesses, get_harness, list_categories, list_comparisons/get_comparison.
  • โ€ขBrowse the searchable web site (ryanalberts.github.io/best-of-Agent-Harnesses/) with one page per harness, filterable by capability, autonomy, and recovery.
  • โ€ขPoint any agent at the raw llms.txt URL or harnesses.json for machine-readable data, or install the harness-scout / stack-auditor / harness-radar agent skeletons.
  • โ€ขUse the comparison guides for decisions: how-to-pick-a-harness, OpenClaw vs Hermes, terminal coding agents, multi-agent orchestration, memory layers.

Key features

  • โœ“154 curated projects across 13 categories (progressive disclosure, coding agent products, harness configs/SDKs, personal agent runtimes, frameworks, multi-agent, plugins/MCPs/CLI tools, memory, eval/benchmarking, observability, research harnesses, libraries/SDKs).
  • โœ“Ranking guide with stars, simplicity/capability tiers, headless-ready and durable markers, license signals, capability tags, and concrete example links per project.
  • โœ“MCP server published to PyPI and the official MCP registry as io.github.RyanAlberts/agent-harnesses, with graveyard warnings for dead/star-manipulated repos.
  • โœ“Three open-source agent skeletons (harness-scout, stack-auditor, harness-radar) that run on existing AI subscriptions and deliver to Slack or Notion.

Best for

Developers and teams choosing an agent harness or orchestration framework, and agents that need an up-to-date, opinionated recommendation source.

Caveats

  • โš This is a curated list/documentation project with an MCP query server, not a runnable agent harness itself.
  • โš Star counts and rankings are editorial snapshots (captured 2026-08-02) and scores are from public docs.
Platforms: WebClients: Claude Code ยท Any MCP-capable agent
Documentation โ†—

Reviewed 2026-08-07

Topics

agent-frameworkagent-harnessagentic-aiagentsai-agentai-agent-frameworkai-agentsai-toolsawesome-listbest-of-listclaude-codecoding-agentsharnessharness-engineeringllmllm-agentsllm-frameworkllm-toolsmcpmodel-context-protocol
View on GitHub โ†—
Stars
481โ˜…
Forks
33
Language
Python
License
CC-BY-SA-4.0
Created
2026-03-07
Last push
2026-08-04