The ultimate harness for coding agents and beyond. All your agents. All your machines. One command center. Start with code, then follow your curiosity and build across disciplines: CAD, circuits, robots, games and music.
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# Add to your Claude Code skills
git clone https://github.com/autonomous-ai/openharnessGuides for using ai agents skills like openharness.
Last scanned: 9/20/2026
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"file": "README.md",
"line": 145,
"type": "remote-install",
"message": "Install command (remote install script piped to a shell — review the source before running): \"curl -fsSL https://harness.autonomous.ai/cli/install.sh | bash\"",
"severity": "low"
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"status": "PASSED",
"scannedAt": "2026-09-20T09:06:21.256Z",
"npmAuditRan": true,
"pipAuditRan": true,
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}See how openharness compares with popular alternatives.
Claude Code, Codex, Cursor, OpenCode, Devin, Amp, Copilot and seven more.
Your laptop, home server and GPU box in one window. Link each one with a password. No SSH keys. No Tailscale. No port forwarding.
⌘P finds any harness on any machine. ⇧⌘I jumps to the harness waiting on you. ⌘D splits. Every key remaps.
Code, keys and keystrokes are sealed on your machine. The relay forwards bytes it can't read.
A native app, not Electron. Close it and your agents keep working.
Idle measurements on an M2 Max:
Desktop results use a Release fixture with 16 terminals and 1,000 scrollback lines each. See the workflow and resource benchmarks and remote P2P, TURN and relay results for workloads, slow tails, connection failures and raw data.
In the workspace, a harness is one running session of an agent such as Codex or Claude Code, with its own conversation and working context. A tab groups harnesses. Use New Harness to start one and New Tab to group work. Enable Settings → Experimental → Tab collaboration to let their agents consult peers in the same tab; it is off by default.
The Store offers harnesses with instructions, tools, and optional viewers for specific crafts. Install a harness, then start it in your workspace. See the Naming System for the complete naming rules.
One daemon per machine runs your agents in tmux. It dials out, so no machine opens a port.
flowchart LR
subgraph laptop["Your laptop"]
app["Harness app"] -- loopback --> d1["daemon"]
d1 --> a1["tmux · Claude Code · Codex"]
end
subgraph box["Your GPU box"]
d2["daemon"] --> a2["tmux · OpenCode · Hermes"]
end
device["Harness device"] -- USB --> d1
d1 <-. "direct WebRTC" .-> d2
d1 <-- "ciphertext" --> relay["Harness relay · no keys"]
relay <-- "ciphertext" --> d2
Every path is sealed end to end: ChaCha20-Poly1305, X25519 session keys, pinned Ed25519 identities. Harness picks the best path on its own.
Direct. A WebRTC channel between your machines. No server in the path.
Through Cloudflare. When a firewall blocks the direct path, the same encrypted channel runs over Cloudflare's TURN network. Harness keeps trying for a direct path.
Through our relay. A fallback while WebRTC negotiates. The relay holds no keys and forwards ciphertext.
The architecture guide has the details.
Download the app for macOS or Linux.
Add a machine. Run this on it, then Machines → Link Machine in the app:
curl -fsSL https://harness.autonomous.ai/cli/install.sh | bash
harness login
harness remote-password set
harness start
In a terminal: the same line installs hn — tmux's keys and your ~/.tmux.conf, with every
harness on every machine (hn). The first time, hn signs in and connects the
computer:
curl -fsSL https://harness.autonomous.ai/cli/install.sh | bash
hn
Needs Node.js 20+, tmux, Xcode and Flutter 3.47+ / Dart 3.13+:
git clone https://github.com/autonomous-ai/openharness.git
cd openharness
(cd cli && npm ci)
make install-cli
cd desktop
flutter config --enable-swift-package-manager
flutter pub get
flutter run -d macos
make install-cli installs this checkout's CLI and restarts the local daemon. See the
development guide.
“World-class entrepreneurs are polymaths.” — Peter Thiel
Coding agents can build far more than software. Give one a harness and it works with the real tools of a craft. You steer in a live viewer. Every clip below is a real session.
Blender. Ask for a lamp and the sliders that matter. Turn them and Blender rebuilds the geometry. Keep the versions you love.
CircuitJS. Build a filter. Change one resistor. Overlay the new trace, measure the difference and keep both.
MuJoCo. Pin a moment in a robot's run. Shove it with 100 N. Watch two futures split.
Godogen. Your agent makes a playable game. Miss a jump, rewind, try again. Pin the moment so the agent sees what you mean.
Strudel. The track is code you can perform. Bring voices in and out, mark the good parts, keep the WAV. Hear it.
RDKit. Turn a bond and watch the molecule move. Follow the real energy curve. Keep the pose worth a closer look.
Typst. Your agent writes a real PDF. Circle a detail, quote a line, leave a note. The next draft answers it.
openharness is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by autonomous-ai. The ultimate harness for coding agents and beyond. All your agents. All your machines. One command center. Start with code, then follow your curiosity and build across disciplines: CAD, circuits, robots, games and music. It has 1,140 GitHub stars.
Yes. openharness passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/autonomous-ai/openharness" and add it to your Claude Code skills directory (see the Installation section above).
openharness is primarily written in Dart. It is open-source under autonomous-ai on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh openharness against similar tools.
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