OpenSearch-VL
🔍 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 learning.
Train advanced AI search agents that can understand and analyze both text and images effectively.
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Free · no card · unsubscribe anytime🔍 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 learning.
OpenSearch-VL has 274 stars on GitHub. It has been forked 29 times. OpenSearch-VL is written mainly in Python. It has been in active development since 2026. OpenSearch-VL is available under the Apache-2.0 license. Its main topics are deep-research-agent, multimodal, opensource, search-agent.
What is OpenSearch-VL?
🔍 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 learning.
Is OpenSearch-VL open source?
OpenSearch-VL is an open-source project. It is released under the Apache-2.0 license.
Is OpenSearch-VL free?
Yes. OpenSearch-VL is free and open source — you can use, modify and self-host it.
What license does OpenSearch-VL use?
OpenSearch-VL is available under the Apache-2.0 license.
What language is OpenSearch-VL written in?
OpenSearch-VL is written mainly in Python.
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