AMAP-ML

LongHorizon Harness — AI skill for Claude Code

AI community

The long-horizon computer-use harness.

How to install LongHorizon Harness

This entry records only its repository, not the path inside it, so there is no exact command to give. Open AMAP-ML/LongHorizon-Harness and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What LongHorizon Harness does

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.

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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.**

Website arXiv 2608.01964 GitHub repository Hugging Face trajectory Hugging Face Daily Papers MIT License

[![Python](https://img.shields.io/badge/python-≥3.10-blue?logo=python&logoColor=white)](https://www.python.org/) [![Agents](https://img.shields.io/badge/backends-Claude%20Code%20|%20Codex%20|%20OpenCode%20|%20DeepSeek-8A2BE2)](#any-model-any-agent-backend) [![Benchmarks](https://img.shields.io/badge/benchmarks-WeaveBench%20|%20OSWorld%202.0%20|%20Terminal--Bench%202.1-orange)](#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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