# BinceQu/RoboHarness

> A framework for robot control via an LLM agent: visual keypoints on a 2D image are tracked by optical flow and turned into geometric constraints for primitive actions, without training models.

- Magnitude: 3.5 out of 10 — Steady
- Stars: 222 total · +23 stars measured 2026-10-09, 11:36–13:11 UTC, ≈ 34 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: Python · License: MIT · Created: 2026-10-07 · Last push: 2026-10-09
- GitHub: https://github.com/BinceQu/RoboHarness · Homepage: https://bincequ.github.io/RoboHarness/ · Page: https://gitnova.dev/en/r/BinceQu/RoboHarness

## Useful for

- Run a manipulation task reproduction in the BEHAVIOR simulator via ./scripts/reproduce_task.sh
- Check agent evaluation results with report_validation.py at 1e-6 tolerance
- Attach the alternative Codex harness to a Responses-compatible model endpoint

## Why it’s here

- Star-counter measurements on 2026-10-09 (UTC), 11:36–13:11: 199 → 222 stars (+23). This is the change over that interval.
- Estimated end-of-day forecast: about +34 stars, using observed gains and the previous day.
- The repository is 2 days old and already has 222 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #62.
- About 280 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 18
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 12 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 14

## Stars per day, last 6 days (oldest → newest, today is partial)

2026-10-04 … 2026-10-09: 0, 0, 1, 1, 2, 23

## Spotted in now

- Top new repositories this week: #62

## Similar by description

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   A curated collection of demos and cases of GPT-6 Astra in embodied AI and robotics: zero-shot control, deployment in simulation and on real robots, RL training, and real-to-sim replay.
   Full card: https://gitnova.dev/en/r/zjwzcx/Awesome-Astra-Embodied-AI.md
2. **AetherLabsAI/Video2World** — 2.6 · Early signal · AI agents · Python · +14 stars measured 2026-10-09, 00:07–13:14 UTC, ≈ 24 by evening
   A benchmark for evaluating coding agents on the task of automatically building interactive simulators from embodied robot and human videos. It includes 222 instances across 39 task families with geometry, dynamics and functionality metrics.
   Full card: https://gitnova.dev/en/r/AetherLabsAI/Video2World.md

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-09 13:25 UTC, updated every 30 minutes.