ByteRover

You MUST use this for gathering contexts before any work. This is a Knowledge management for AI agents. Use `brv` to store and retrieve project patterns, dec...

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AI & Machine Learning

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Last updated: April 23, 2026

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Quick Start

Manual Installation

No automatic installation available. Please visit the source repository for installation instructions.

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Key Features

Local-first storage as human-readable Markdown files in a .brv/context-tree/ directory, fully version-controllable with git
Context querying via brv query to retrieve relevant patterns and decisions before starting work, powered by an LLM provider
Knowledge curation via brv curate to save new patterns, architectural rules, and implementation decisions after completing work
Project-scoped context with support for including up to 5 project files per curation for rich contextual storage
Optional cloud sync for team collaboration via ByteRover cloud service (no data sent to servers unless explicitly pushed)
Flexible LLM backends defaulting to ByteRover (no API key needed) with support for OpenAI or Anthropic alternatives

Use Cases

Maintain consistent coding patterns across a large codebase by querying stored decisions before each task
Onboard new team members or AI agents by providing instant access to accumulated project knowledge
Track architectural decisions and their rationale over time as the project evolves
Share curated project context across a distributed team via optional cloud sync

How It Works

ByteRover operates through a simple query-curate workflow. Before starting work, agents run brv query to understand existing patterns and conventions. After completing work, they run brv curate to save new discoveries. All knowledge is stored locally as Markdown, making it transparent and easy to review or edit manually.

Getting Started

Install globally with npm install -g byterover-cli. The default LLM provider requires no API key. Run brv query in your project directory to start retrieving context, and brv curate after completing work to store new patterns.

ByteRover

AI Skill Market Insights

Quick Start

Manual Installation

TEAR & SHARE

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Multi-Agent Patterns

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