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

# Autonomous Agents

> Give autonomous AI agents persistent memory with ByteRover

ByteRover integrates with autonomous agent frameworks to provide persistent, structured memory across sessions — so your agents remember decisions, patterns, and context between runs.

## What you get

<CardGroup cols={3}>
  <Card title="Context Retrieval" icon="brain">
    Agents automatically query relevant knowledge before every response.
  </Card>

  <Card title="Automatic Curation" icon="sparkles">
    Insights, decisions, and patterns are extracted and stored after each session.
  </Card>

  <Card title="Persistent Memory" icon="database">
    Knowledge persists across sessions in a structured context tree.
  </Card>
</CardGroup>

## Supported frameworks

| Framework                                 | Status      |
| ----------------------------------------- | ----------- |
| [OpenClaw](/autonomous-agents/openclaw)   | Available   |
| [Hermes Agent](/autonomous-agents/hermes) | Available   |
| NemoClaw                                  | Coming Soon |

<Tip>
  More autonomous agent integrations are coming soon. Join the [community](https://discord.gg/UMRrpNjh5W) to request a framework.
</Tip>

## Next steps

<CardGroup cols={2}>
  <Card title="OpenClaw Integration" icon="bot" href="/autonomous-agents/openclaw">
    Set up ByteRover as long-term memory for OpenClaw agents
  </Card>

  <Card title="Hermes Integration" icon="bot" href="/autonomous-agents/hermes">
    Set up ByteRover as long-term memory for Hermes agents
  </Card>

  <Card title="Context Tree" icon="folder-tree" href="/context-tree/local-space-structure">
    Understand how ByteRover organizes knowledge
  </Card>
</CardGroup>