Memory layer for your AI coding agents
ByteRover is a fully local, file-based memory layer for agents with market-best 92.2% retrieval accuracy, that supports cloud portability, and built-in version control. From OpenClaw to Claude Code to Cursor to whatever's next, your own memory travels with you, not trapped in one tool. ByteRover gives your agents stateful memory that keep your context's timeline, facts, and meaning perfectly in place.
ByteRover Enterprise offers SOC 2 Type II certification, AES-256 encryption at rest, TLS 1.2+ in transit, role-based access control, data residency options, and audit logs for teams with regulatory requirements.
ByteRover runs entirely on the user's machine by default with zero telemetry and no required account. Users retain full control over LLM choice and API keys, and can optionally push to cloud only when needed for team collaboration or portability.
ByteRover integrates with OpenClaw agents to provide shared, hierarchically structured memory. All agents access the same persistent knowledge system, with version control and editable context management for coordinated reasoning.
ByteRover provides a hierarchical memory tree system that persists knowledge locally by default and syncs across agents. Users can move memory between tools (OpenClaw, Claude Code, Cursor) without being locked into one platform, achieving 92.2% retrieval accuracy.
ByteRover ingests markdown files and text documents, automatically curating them into a queryable knowledge tree. Users can migrate existing memory systems (MEMORY.md, QMD files) and retrieve information via natural language with higher precision than vector-based alternatives.