Harnesses as of Oct 2026

AI Harness Tier List

Rank 71 AI harnesses from 55 makers: the coding agents, personal agents and app builders that wrap a model in tools, memory and a loop. Drag them, tap to place, or use the keyboard. Your list saves in this browser, and you can share it as a link or an image.

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Drag harnesses into tiers, or tap one and then a tier. Keyboard: focus a harness, press 1–6 to rank it and 0 to unrank, or Enter then the arrow keys to move it. Ctrl+Z undoes.

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Popular is the seven coding agents developers use most at work in the JetBrains Developer Ecosystem Survey 2026, with Claude Code and Codex split into CLI and app, plus the always-on agents people run for everything else. Switch to Current or All for 57 more.

How the harnesses score

A score belongs to a harness and a model together. Only runs on that month’s top models from the AI Model Tier List count.

Artificial Analysis runs each harness and model pair on DeepSWE, Terminal-Bench 4.0 and SWE-Atlas QnA, three tries per task, and averages the three. Artificial Analysis, read Oct 4, 2026.

October 2026 Scored against this month’s top models.

68.4% is the top score, from Claude Code CLI with Claude Sonnet 5.5. Each harness shows its best run on one of that month’s top models.

  1. Claude Code CLI with Claude Sonnet 5.5, max effort: 68.4%
  2. Antigravity CLI with Gemini 4 Argon, high effort: 63.8%
  3. Codex CLI with GPT-6.1 Sol, xhigh effort: 62.9%
  4. Devin (Devin Fusion CLI) with Claude Fable 5.1 + SWE-2, xhigh effort: 61.7%
  5. Grok Build with Grok 4.7, xhigh effort: 56.3%
  6. Muse Code with Muse Spark 1.3, max effort: 54.3%
  7. OpenCode with GLM-5.3, max effort: 53.6%
  8. Kimi Code with Kimi K3: 51.9%

Harness scores by month

Each leaderboard as it stood that month, scored against that month’s top models from the AI Model Tier List.