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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.
Facts
| Fact | AMAP-ML/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. | zhnt/loushang AI-native agent harness for coding workflows by python: multi-model LLM orchestration, stateful sessions, tool governance, traceable delivery, and provider routing for GPT, Claude, DeepSeek, Qwen, Kimi, GLM, and MiniMax. |
|---|---|---|
| Stars | 1,873 | 2,069 |
| Net stars, last 30 days | +136 | +310 |
| Largest star day | +219 on Aug 23, 2026 | +27 on Jun 8, 2026 |
| Milestone reached in the record | 1,000 on Aug 23, 2026 | 1,000 on Aug 4, 2026 |
| Forks | 196 | 316 |
| Language | Python | Python |
| License | MIT | APACHE-2.0 |
| Created | Aug 4, 2026 | May 29, 2026 |
| Last push | Nov 11, 2026 | Nov 13, 2026 |
| Archived | No | No |
| Health facts: Maintenance | 2 of 4 checks (2 without data) | 2 of 4 checks (2 without data) |
| Health facts: Releases | 2 of 3 checks (1 without data) | 0 of 3 checks (2 without data) |
| Health facts: Security practice | 0 of 1 check (1 without data) | 0 of 1 check (1 without data) |
| Health facts: Community files | 1 of 3 checks (2 without data) | 1 of 3 checks (2 without data) |
| Commits, last 13 weeks | No data | No data |
| Weeks with commits, last 52 | No data | No data |
| In the Repository Index since | Nov 12, 2026 | Nov 12, 2026 |
Topics that all of them have on the Repository Host: agent, harness, claude, claude-code, codex. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined