by agents-x-project · Agent Tool · ★ 153
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PyVision: Agentic Vision with Dynamic Tooling 🎯Overview LLMs are increasingly deployed as agents, systems capable of planning, reasoning, and dynamically calling external tools. However, in visual reasoning, prior approaches largely remain limited by predefined workflows and static toolsets. In this report, we present , an interactive, multi-turn framework that enables MLLMs to autonomously generate, execute, and refine Python-based tools tailored to the task at hand, unlocking flexible and interpretable problem-solving. We develop a taxonomy of the tools created by PyVision and analyze their usage across a diverse set of benchmarks. Quantitatively, PyVision achieves consistent performance gains, boosting GPT-4.1 by +7.8\% on V and Claude-4.0-Sonnet by +31.1\% on VLMsAreBlind-mini. These results point to a broader shift: dynamic tooling allows models not just to use tools, but to invent them
| Stars | 153 |
| Forks | 7 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 37.25/100 |
| Last Updated | 2025-07-22 |
| Created | 2025-06-27 |
| Platforms | python |
| Est. Tokens | ~604k |
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PyVision is [MTI-LLM@NeurIPS 2025] Official implementation of "PyVision: Agentic Vision with Dynamic Tooling.". It is categorized as a Agent Tool with 153 GitHub stars.
PyVision is primarily written in Python. It covers topics such as agent, computer-vision, mllm.
You can find installation instructions and usage details in the PyVision GitHub repository at github.com/agents-x-project/PyVision. The project has 153 stars and 7 forks, indicating an active community.
The top alternatives to PyVision on Agent Skills Hub include os-ai-computer-use, Eva01, Interactive-LLM-Powered-NPCs. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.