LongHorizon-Harness
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.
- 形态
- Plugin 插件
- 安装
- 通过 profile 安装
- 需要密钥
- 是
- 近月下载
- —
- 最近推送
- 16 天前更新
项目说明
From 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.
Usage · The Loop · Computer Use · Results · Project Website · 简体中文 The model determines what an agent can do in one round.
LongHorizon-Harness engineers the loop around it: what to do next, how to verify the result in the real computer, what progress to preserve, and how to continue after failure or context refresh.A Loop Engineering system for Claude Code, Codex, OpenCode, and DeepSeek Harness.
One-command install, ready to run.LongHorizon-Harness turns existing agents into long-running computer-use systems.Across desktop apps and the terminal CLI, it continuously recovers the goal and verified sta
安装方式
通过 profile 安装 · 需要额外配置密钥
uv tool install lh-harness # or: pip install lh-harnessnpm install -g @deepseek-ai/dshdsh --version安装命令包含风险形态
- 全局安装，会改动系统级依赖
全局安装会修改系统级依赖；远程脚本执行等于把执行权交给仓库作者。装前请通读命令。
为什么是这个分数
近 17 天内有提交；README 给出了可直接复制的安装命令；运行前需要准备 API Key 或环境变量；1855 stars，社区使用面较广。
- 维护活跃
- 86
- 实用度
- 100
- 生态热度
- 73
- 上手便捷
- 74
- 信号质量
- 100
- 数据置信度
- 100%
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