LongHorizon Harness
Description
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.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
LongHorizon-Harness
Loop Engineering for Computer-Use Agents
**Give Claude Code, Codex, OpenCode, or DeepSeek Harness a goal once. Keep it working across desktop apps and the terminal for dozens of hours.**
**Plan → act → verify → checkpoint or recover → repeat — until the work is actually done.**
[](https://www.python.org/) [](#any-model-any-agent-backend) [](#hundreds-of-real-tasks-measured-gains)
[Usage](#one-command-full-visibility) · [The Loop](#loop-engineering-for-real-computer-environments) · [Computer Use](#desktop-apps-and-cli-one-continuous-task) · [Results](#hundreds-of-real-tasks-measured-gains) · [Project Website](https://lh-harness.pages.dev) · [简体中文](README.zh
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