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Byterover 2.0

Byterover 2.0

Central Memory Layer For Dev Teams with Git-like System

Overview

What it is

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.

Intent

I need it when

Maintain persistent, structured knowledge across multiple AI agents and tools without losing context between sessions

ByteRover provides a hierarchical memory tree system that persists knowledge locally and syncs across agents (including OpenClaw agents). Users can curate and retrieve information with 92.2% accuracy, ensuring agents retain context as they move between tools like Claude, Cursor, or custom setups.

Organize and query large volumes of unstructured notes and documentation into a searchable knowledge system

ByteRover ingests markdown files and text documents, automatically organizing them into a queryable knowledge tree using natural language. Users can migrate existing memory systems (MEMORY.md, QMD files) and run stateful memory curation alongside current workflows.

Deploy memory infrastructure locally while maintaining portability to cloud or team environments when needed

ByteRover runs 100% locally by default with no account or telemetry required. Users can push to ByteRover Cloud on demand for team collaboration, version control, and portability across machines without vendor lock-in.

Reduce hallucination and improve retrieval accuracy in agentic systems without relying on vector databases

ByteRover replaces vector-based memory with a tiered retrieval pipeline (fuzzy text search → LLM-driven search), achieving industry-leading 92.2% retrieval accuracy on the LoCoMo benchmark. This enables agents to access precise, contextual information for more reliable reasoning.

Enable multi-agent teams to share a unified, version-controlled memory system with role-based access and compliance controls

Team and Enterprise plans support shared memory across agents, role-based access control, SOC 2 Type II certification, AES-256 encryption, and audit logs. Enterprise includes SSO/SAML, data residency controls, and dedicated support for compliance-heavy organizations.

Drop

Not a fit when

  • User requires vector-based memory retrieval instead of tiered file-search architecture
  • Organization needs on-premises deployment without cloud option (Enterprise plan required for on-prem gateway)
  • User operates entirely offline with no option to sync to cloud later
  • Team requires real-time collaboration features beyond context management and cloud sync
  • User needs integration with proprietary closed-source LLM providers without API key access
Commercials

Pricing

USD0 - USD35 / monthly View pricing