ReTool-Video uses a 134-tool meta-augmented library and recursive grounding to translate abstract video intents into fine-grained multimodal operations, outperforming baselines on MVBench, MLVU, and Video-MME.
Videoarm: Agentic reasoning over hierarchical memory for long-form video understanding
3 Pith papers cite this work. Polarity classification is still indexing.
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GOPAgen proposes integrating video codec GOPs with a motion agent, GOP tree reasoning, structural memory, and motion vector database to improve efficiency and motion detail in agentic long-video VQA, reporting gains on MotionBench and EgoSchema.
PhotoCraft adds dynamically invoked working, episodic, and semantic memory to MLLM agents, reporting up to 18.5% gains in context-aware image retrieval on DISBench.
citing papers explorer
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ReTool-Video: Recursive Tool-Using Video Agents with Meta-Augmented Tool Grounding
ReTool-Video uses a 134-tool meta-augmented library and recursive grounding to translate abstract video intents into fine-grained multimodal operations, outperforming baselines on MVBench, MLVU, and Video-MME.
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GOPAgen: Motion-Aware and Efficient Agentic Long-Video Understanding with Structural Memory and Hierarchical Reasoning
GOPAgen proposes integrating video codec GOPs with a motion agent, GOP tree reasoning, structural memory, and motion vector database to improve efficiency and motion detail in agentic long-video VQA, reporting gains on MotionBench and EgoSchema.
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PhotoCraft: Agentic Reasoning with Hierarchical Self-Evolving Memory for Deep Image Search
PhotoCraft adds dynamically invoked working, episodic, and semantic memory to MLLM agents, reporting up to 18.5% gains in context-aware image retrieval on DISBench.