ByteRover is a stateful memory system for AI agents, designed to provide persistent, portable, and structured context. It replaces vector-based memory with a tiered retrieval pipeline for 92.2% accuracy, works locally by default, and syncs to the cloud when needed. It integrates with tools like OpenClaw and Cursor, allowing your AI's knowledge to travel with you.
Freemium
from $19/month
How to use ByteRover Memory System for OpenClaw?
Install the CLI tool via a simple shell command. Configure it with your preferred LLM provider using an API key. Link it to your AI agents (like OpenClaw). Start saving and curating memories from markdown files or project documentation into a queryable knowledge tree. Retrieve information via queries. Optionally, push curated memories to the cloud for portability across machines or team sharing.
ByteRover Memory System for OpenClaw 's Core Features
Stateful Memory Curation: Applies intelligent curation to transform raw data into a hierarchical, natural language knowledge tree system, making it understandable for both agents and humans.
Tiered Retrieval Pipeline: Replaces standard vector search with a multi-stage process (fuzzy text → LLM-driven search) to achieve a market-leading 92.2% retrieval accuracy on benchmarks.
Local-First & Portable: Runs entirely on your machine by default with no account or telemetry. Push specific memory workspaces to the secure cloud only when you need portability or collaboration.
Universal Agent Compatibility: Designed to work with any AI agent framework (OpenClaw, Claude Code, Cursor) and any LLM provider via API, giving you full control over models and costs.
Markdown & File Integration: Seamlessly reasons through and organizes existing markdown files (MEMORY.md, QMD) or documentation folders into its structured memory system without disrupting your workflow.
Enterprise-Grade Security (Cloud): Offers SOC 2 Type II certification, AES-256 encryption at rest, TLS 1.2+ in transit, role-based access control (RBAC), and data residency controls for teams.
ByteRover Memory System for OpenClaw 's Use Cases
AI Developer: Solves the 'agent amnesia' problem for developers using OpenClaw or Cursor, providing a persistent memory that retains project context, code patterns, and decisions across sessions.
Research Team: Enables collaborative teams to build a shared, version-controlled knowledge base from research notes and documents, accessible by multiple AI agents for consistent analysis.
Solo Power User: Allows an individual to centralize personal notes, project docs, and learning materials into a single, intelligently curated memory system queryable by their local AI assistants.
Enterprise AI Ops: Provides compliance-ready teams with a secure, auditable memory layer for their agentic workflows, with on-prem options and strict access controls.
Content Creator: Helps writers and creators maintain a vast, organized repository of ideas, references, and past work that their AI writing assistants can accurately draw upon.
ByteRover Memory System for OpenClaw 's Pricing
Free
Free
Local-first, forever free. Full CLI access, markdown-backed context store, 100% local, Bring Your Own Key, zero telemetry, community support.
Pro
$19 per month
For individual power users. Includes 4,500 credits/month, 500 MB storage, Cloud Sync, Context Management, 48-hr Email SLA, premium community access.
Team
$35 per user / month
For collaborative teams. Includes 4,500 credits/user/month, 5 GiB storage, Cloud Sync, Context Management, 24-hr Email SLA, priority agent access.
Enterprise
Custom
Custom scale, total control. Custom model allocation, custom connectors, SSO/SAML, SOC 2, RBAC, Data Residency, on-prem gateway, dedicated support.
ByteRover Memory System for OpenClaw 's FAQ
Most impacted jobs
Software Developer
AI Engineer
ML Researcher
DevOps Engineer
Technical Lead
Data Scientist
Product Manager (Technical)
Research Scientist
Systems Architect
CTO
ByteRover Memory System for OpenClaw Youtube Reviews