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.

Community Project Python
707 stars via github-search
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Growth we measured

6 daily star snapshots stored by whatstrending.ai, 2026-08-09 to 2026-08-14. GitHub shows today's number; this is the movement behind it.

685411
2026-08-09 — 411 stars2026-08-10 — 503 stars2026-08-11 — 550 stars2026-08-12 — 582 stars2026-08-13 — 630 stars2026-08-14 — 685 stars
2026-08-096 stored snapshots2026-08-14
Stars685our snapshot on 2026-08-14
7-day paceno data yettracked for 5 days so far
30-day paceno data yettracked for 5 days so far
Trajectorynot enough historyneeds a short and a long measured window
First recorded2026-08-096 snapshots across 5 days

How this is measured. whatstrending.ai stores its own daily star and fork snapshot for every repo in its trending index. Every figure above is a delta between two of those stored rows — 6 snapshots for AMAP-ML/LongHorizon-Harness between 2026-08-09 and 2026-08-14. Our history starts 2026-06-19; we hold nothing from before that date. Nothing here is estimated, interpolated or back-filled, and days without a snapshot are simply not plotted.

For the maintainer

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AMAP-ML/LongHorizon-Harness is in the whatstrending.ai tracked index, so this badge already resolves. It is free, needs no account, and updates itself: the rank is recomputed from our stored daily snapshots and the image is re-fetched a few times a day. Clicking it lands on this page, which shows the star history we measured.

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