The long-horizon computer-use harness. Run AI agents across desktop apps and the CLI for extended periods while prese...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Reasonable to try, but it will take more than a quick skim to get real signal.
GitHub health unknown. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Multiple
Fastest way to find out if LongHorizon-Harness belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/AMAP-ML/LongHorizon-Harness ~/.claude/agents/longhorizon-harnessRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/longhorizon-harnessNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ ├─ agents/ │ └─ longhorizon-harness/ ← installs here └─ settings.json
The long-horizon computer-use harness. Run AI agents across desktop apps and the CLI for extended periods while preserving task state and making reliable progress on complex workflows. Features fresh-context execution, durable verified state, independent auditing, recoverable progress, and native Claude Code / Codex / OpenClaw integration.
Source: GitHub repository
Source check: October 21, 2026
Upstream commit: October 21, 2026
Repository state: Not marked archived
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