> ## Documentation Index
> Fetch the complete documentation index at: https://docs.videodb.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Agentic Systems

> Collaborate with us on agentic AI and physical AI research - multi-agent systems, embodied agents, and real-world AI applications

We're building the perception layer for AI agents - giving machines eyes and ears. If you're working on agentic systems or physical AI, we'd love to collaborate.

***

## Areas of Interest

### Agentic AI Systems

<AccordionGroup>
  <Accordion title="Multi-Agent Collaboration" icon="users">
    Frameworks for agents to work together - sharing context, delegating tasks, and coordinating actions across video, audio, and text modalities.
  </Accordion>

  <Accordion title="Agent Memory & Perception" icon="brain">
    How agents remember, recall, and reason about continuous media. Building long-term memory systems that work with video streams and recordings.
  </Accordion>

  <Accordion title="Autonomous Video Understanding" icon="eye">
    Agents that watch, understand, and act on video content - from surveillance feeds to screen recordings to live streams.
  </Accordion>

  <Accordion title="Tool Use & Action" icon="wrench">
    Enabling agents to take meaningful actions based on what they see and hear - editing, annotating, searching, and generating video content.
  </Accordion>
</AccordionGroup>

***

### Physical AI & Embodied Agents

<AccordionGroup>
  <Accordion title="Robotics & Perception" icon="cpu">
    Vision systems for robots and autonomous machines. Processing real-world video streams for navigation, manipulation, and interaction.
  </Accordion>

  <Accordion title="Embodied Learning" icon="footprints">
    Training agents that learn from video demonstrations. Sim-to-real transfer and video-based imitation learning.
  </Accordion>

  <Accordion title="Real-World Deployment" icon="globe">
    Taking agentic systems from lab to production. Handling edge cases, failures, and real-world complexity.
  </Accordion>
</AccordionGroup>

***

### Video Understanding for Agents

<AccordionGroup>
  <Accordion title="Scene & Activity Detection" icon="film">
    Identifying scenes, activities, and events in video streams. Creating coherent segments for agent reasoning.
  </Accordion>

  <Accordion title="Temporal Reasoning" icon="clock">
    Understanding causality, sequences, and time in video. What happened, what's happening, what might happen next.
  </Accordion>

  <Accordion title="Multimodal RAG" icon="database">
    Retrieval systems that work across video, audio, and text. Finding relevant moments and context for agent decision-making.
  </Accordion>
</AccordionGroup>

***

### Code & Model Development

<AccordionGroup>
  <Accordion title="Open Source Models" icon="github">
    Training and fine-tuning video models. Managing terabytes of training data, annotations, and evaluation pipelines.
  </Accordion>

  <Accordion title="Benchmarking" icon="chart-bar">
    Evaluating vision and video models. Pushing beyond current benchmarks to test real-world agent capabilities.
  </Accordion>

  <Accordion title="Code Generation from Video" icon="code">
    Systems that watch tutorials, demos, or documentation and generate working code.
  </Accordion>
</AccordionGroup>

***

## Let's Collaborate

If you're working on agentic AI or physical AI and want to collaborate, reach out. We can provide:

* **Infrastructure support** for managing video data at scale
* **API access** for video understanding and manipulation
* **Technical collaboration** with our team on shared research

<CardGroup cols={2}>
  <Card icon="mail" title="Get in Touch" href="mailto:hello@videodb.io">
    Email [hello@videodb.io](mailto:hello@videodb.io) to discuss collaboration
  </Card>

  <Card icon="discord" title="Join Our Discord" href="https://discord.gg/py9P639jGz">
    Chat with our team and community
  </Card>
</CardGroup>