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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
Context Retrieval — Agents automatically query relevant knowledge before every response.
Automatic Curation — Insights, decisions, and patterns are extracted and stored after each session.
Persistent Memory — Knowledge persists across sessions in a structured context tree.
Supported frameworks
| Framework | Status |
|---|---|
| OpenClaw | Available |
| Hermes Agent | Available |
| NemoClaw | Coming Soon |
TIP
More autonomous agent integrations are coming soon. Join the community to request a framework.
Next steps
OpenClaw Integration — Set up ByteRover as long-term memory for OpenClaw agents
Hermes Integration — Set up ByteRover as long-term memory for Hermes agents
Context Tree — Understand how ByteRover organizes knowledge