No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by AMAP-ML · Codex Skill · ★ 803
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is LongHorizon-Harness safe to install? View the security audit →
LongHorizon-Harness Advancing Long-Horizon Agents for Real-World Tasks Operate the whole computer like a human. Work across desktop apps and the command line for dozens of hours. No state drift. Verifiable progress. Complex tasks carried through to completion. [![Be
| Stars | 803 |
| Forks | 92 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69.6290790487111/100 |
| Open Issues | 20 |
| Last Updated | 2026-08-17 |
| Created | 2026-08-04 |
| Platforms | claude-code, cli, codex, python |
| Est. Tokens | ~17k |
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LongHorizon-Harness is 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-. It is categorized as a Codex Skill with 803 GitHub stars.
LongHorizon-Harness is primarily written in Python. It covers topics such as agent, claude, claude-code.
You can find installation instructions and usage details in the LongHorizon-Harness GitHub repository at github.com/AMAP-ML/LongHorizon-Harness. The project has 803 stars and 92 forks, indicating an active community.
LongHorizon-Harness is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to LongHorizon-Harness on Agent Skills Hub include codeg, skillshare, memsearch. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.