capgym/cap-x
cap-x
A Framework for Benchmarking and Improving Coding Agents for Robot Manipulation
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capgym
capgym • individual
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Created
Mar 25, 2026
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README Summary
Cap-X is a comprehensive framework designed to benchmark and improve coding agents specifically for robot manipulation tasks. The framework provides standardized evaluation metrics and tools to assess how well AI coding agents can generate code for controlling robotic systems in manipulation scenarios.
AI Dev Skills
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evaluationroboticsai-agentsbenchmarkingcode-generationmanipulation
Tags
evaluationroboticsai-agentsbenchmarkingcode-generationmanipulationevaluation-frameworkpythonrobot-control
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Updated 12 days ago
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Quality
research- Quality
- medium
- Maturity
- research
Categories
Evals & BenchmarkingPrimaryDev Tools & AutomationOther AI / MLRobotics
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Languages
Python100.0%
Timeline
- Project created
- Mar 25, 2026
- Forked
- Apr 1, 2026
- Your last push
- 12 days ago
- Upstream last push
- 6 days ago
- Tracked since
- Apr 1, 2026
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