Claude Code multi-agent
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.
Install
git clone https://github.com/AMAP-ML/LongHorizon-Harness.gitFrom the 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 state, selects the next bounded step, executes it with a fresh context, checks the actual result, and then checkpoints accepted progress or feeds failure evidence into the next round. It does not train a new model or replace an existing agent; it provides the durable execution loop around one. ✨ News - [v0.1.8 · 2026-10-21] Fixes approvals after resuming historical runs, Markdown-formatted Manager routes, Claude Code MCP isolation, and non-UTF-8 CLI/DeepSeek output. Adds --final-response-timeout for slower closing replies. See the release notes for upgrade details and current Windows limitations. - [v0.1.7 · 2026-08-20] A finished run is no longer a dead end: the workbench is now a conversation. Read the reply, type a follow-up, and the run continues on its own round ledger instead of replanning from scratch. A message you send mid-round is claimed by the very next round, so…
Details
- Repository
- AMAP-ML/LongHorizon-Harness
- Website
- lh-harness.pages.dev
- Language
- Python
- License
- MIT
- Last updated
- 21 October 2026
- Topics
- agentclaudeclaude-codeclaude-pluginclicodexcodex-desktopcodex-plugincuadeepseek-harnessguiharness
- Listed in
- jqueryscript/awesome-claude-code
FAQ
What is 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. It is a multi-agent for Claude Code, from AMAP-ML/LongHorizon-Harness on GitHub.
How do I install LongHorizon Harness?
Clone AMAP-ML/LongHorizon-Harness from GitHub and follow the setup steps in its README.
Is LongHorizon Harness popular?
AMAP-ML/LongHorizon-Harness has 1,836 GitHub stars and 193 forks, and is included in 1 curated Claude Code list. It was last updated on 21 October 2026.
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