by shawn0728 · Agent Tool · ★ 187
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An Open Recipe for Frontier Multimodal Search Agents Cold-Start Agentic SFT · Multi-Turn Fatal-Aware GRPO · Visual Tool Use ![](https://img.shields.io/github/last-commit/shawn0728/OpenSearch-
| Stars | 187 |
| Forks | 16 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 66.2642885593753/100 |
| Open Issues | 2 |
| Last Updated | 2026-05-19 |
| Created | 2026-05-03 |
| Platforms | python |
| Est. Tokens | ~1479k |
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OpenSearch-VL is 🔍 OpenSearch-VL provides a fully open recipe for training strong multimodal deep search agents through high-quality data curation, diverse visual/search tools, and fatal-aware agentic reinforcement l. It is categorized as a Agent Tool with 187 GitHub stars.
OpenSearch-VL is primarily written in Python. It covers topics such as deep-research-agent, multimodal, opensource.
You can find installation instructions and usage details in the OpenSearch-VL GitHub repository at github.com/shawn0728/OpenSearch-VL. The project has 187 stars and 16 forks, indicating an active community.
OpenSearch-VL is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to OpenSearch-VL on Agent Skills Hub include mcpcan, Deep-Research-skills, Agently-Daily-News-Collector. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.