#long-horizon-agents

AMAP-ML/LongHorizon-Harness

Python

89

health

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.

GhabiX/SpineCodex

Rust

86

health

An enhanced Codex CLI for complex, long-running software engineering tasks—resolving 89% more tasks than Codex at 27% lower cost, with up to 10× the effective context length.

ChaoYue0307/awesome-loop-engineering

Python

82

health

🔁 Build reliable recurring AI-agent systems: 956 resources, 22 operational patterns, 22 loop contracts, 8 runtime starters, an interactive atlas, and a structured dataset.