- ByteRover CLI - Context Engineering Platform
- ByteRover is a context engineering platform that lets you curate context for your coding agents—patterns, decisions, and learnings. It automatically syncs context across team members and eliminates manual markdown file management.
- Configuration
- API credentials are stored in
- ~/.clawdbot/byterover-config.json
- :
- {
- "apiKey"
- :
- "your_byterover_api_key_here"
- ,
- "team"
- :
- "your_team_name"
- ,
- "space"
- :
- "your_space_name"
- }
- Docker-Based Usage
- ByteRover CLI requires Node.js 20+ and libsecret for credential storage. This skill uses Docker to provide an isolated environment with all dependencies.
- Start ByteRover Container
- cd
- ~/.openclaw/workspace/skills/byterover
- docker-compose
- up
- -d
- Run Commands in Container
- Login with API Key:
- docker-compose
- exec
- byterover brv login --api-key
- $BRV_API_KEY
- Initialize Project:
- docker-compose
- exec
- byterover brv init
- --headless
- --team
- "
- $BRV_TEAM
- "
- --space
- "
- $BRV_SPACE
- "
- Check Status:
- docker-compose
- exec
- byterover brv status
- --headless
- --format
- json
- Query Context:
- docker-compose
- exec
- byterover brv query
- "What are the testing strategies?"
- --headless
- --format
- json
- Curate Context:
- docker-compose
- exec
- byterover brv curate
- "Make sure to document API authentication patterns"
- --headless
- --format
- json
- Push Changes:
- docker-compose
- exec
- byterover brv push
- --headless
- --format
- json
- Pull Changes:
- docker-compose
- exec
- byterover brv pull
- --headless
- --format
- json
- Headless Mode
- ByteRover CLI supports headless mode for automation and scripting. Headless mode disables interactive prompts and supports machine-readable JSON output.
- Supported Commands with --headless
- brv init
- (requires
- --team
- and
- --space
- )
- brv status
- brv query
- brv curate
- brv push
- (auto-skips confirmation)
- brv pull
- Output Formats
- Use
- --format
- to control output:
- text
- (default): Human-readable text output
- json
- NDJSON (newline-delimited JSON) for machine parsing API Key Authentication Instead of OAuth browser flow, use API key for headless environments: brv login --api-key $BRV_API_KEY Context Tree The Context Tree is ByteRover's structured knowledge system that organizes project context into domains: Structure - Project architecture and patterns Database - Schema, migrations, relationships Backend - API endpoints, business logic Frontend - UI components, state management Testing - Test strategies, fixtures Deployment - Infrastructure, CI/CD Documentation - Guides, API docs Usage Examples For AI Coding Agents Prompt your coding agent: Use brv query command to check what authentication patterns are used in this project Agent will execute: brv query "What authentication patterns are used?" --headless --format json Manual Usage Check project status: ~/.openclaw/workspace/skills/byterover/docker-compose exec byterover brv status Add context from terminal: ~/.openclaw/workspace/skills/byterover/docker-compose exec byterover brv curate "Document the API rate limiting strategy" Query specific knowledge: ~/.openclaw/workspace/skills/byterover/docker-compose exec byterover brv query "How do we handle rate limiting?" Helper Scripts Quick Status Check
!/bin/bash
~/.openclaw/workspace/skills/byterover/scripts/status.sh
CONFIG
$( cat ~/.clawdbot/byterover-config.json ) API_KEY = $( echo " $CONFIG " | jq -r '.apiKey' ) TEAM = $( echo " $CONFIG " | jq -r '.team' ) SPACE = $( echo " $CONFIG " | jq -r '.space' ) cd ~/.openclaw/workspace/skills/byterover BRV_API_KEY = " $API_KEY " BRV_TEAM = " $TEAM " BRV_SPACE = " $SPACE " \ docker-compose exec -T byterover brv status --headless --format json Query Context
!/bin/bash
~/.openclaw/workspace/skills/byterover/scripts/query.sh
QUERY
" ${1 :- project overview} " CONFIG = $( cat ~/.clawdbot/byterover-config.json ) API_KEY = $( echo " $CONFIG " | jq -r '.apiKey' ) TEAM = $( echo " $CONFIG " | jq -r '.team' ) SPACE = $( echo " $CONFIG " | jq -r '.space' ) cd ~/.openclaw/workspace/skills/byterover BRV_API_KEY = " $API_KEY " BRV_TEAM = " $TEAM " BRV_SPACE = " $SPACE " \ docker-compose exec -T byterover brv query " $QUERY " --headless --format json Add Context
!/bin/bash
~/.openclaw/workspace/skills/byterover/scripts/curate.sh
CONTEXT
" ${1} " CONFIG = $( cat ~/.clawdbot/byterover-config.json ) API_KEY = $( echo " $CONFIG " | jq -r '.apiKey' ) TEAM = $( echo " $CONFIG " | jq -r '.team' ) SPACE = $( echo " $CONFIG " | jq -r '.space' ) cd ~/.openclaw/workspace/skills/byterover BRV_API_KEY = " $API_KEY " BRV_TEAM = " $TEAM " BRV_SPACE = " $SPACE " \ docker-compose exec -T byterover brv curate " $CONTEXT " --headless --format json Sync Changes
!/bin/bash
~/.openclaw/workspace/skills/byterover/scripts/sync.sh
CONFIG
- $(
- cat
- ~/.clawdbot/byterover-config.json
- )
- API_KEY
- =
- $(
- echo
- "
- $CONFIG
- "
- |
- jq
- -r
- '.apiKey'
- )
- TEAM
- =
- $(
- echo
- "
- $CONFIG
- "
- |
- jq
- -r
- '.team'
- )
- SPACE
- =
- $(
- echo
- "
- $CONFIG
- "
- |
- jq
- -r
- '.space'
- )
- cd
- ~/.openclaw/workspace/skills/byterover
- echo
- "Pulling latest context..."
- BRV_API_KEY
- =
- "
- $API_KEY
- "
- BRV_TEAM
- =
- "
- $TEAM
- "
- BRV_SPACE
- =
- "
- $SPACE
- "
- \
- docker-compose
- exec
- -T
- byterover brv pull
- --headless
- --format
- json
- echo
- "Pushing local changes..."
- BRV_API_KEY
- =
- "
- $API_KEY
- "
- BRV_TEAM
- =
- "
- $TEAM
- "
- BRV_SPACE
- =
- "
- $SPACE
- "
- \
- docker-compose
- exec
- -T
- byterover brv push
- --headless
- --format
- json
- Docker Management
- Build image:
- cd
- ~/.openclaw/workspace/skills/byterover
- docker-compose
- build
- Start container:
- docker-compose
- up
- -d
- Stop container:
- docker-compose
- down
- View logs:
- docker-compose
- logs
- -f
- Enter container shell:
- docker-compose
- exec
- byterover
- bash
- Integration with AI Agents
- ByteRover provides multiple integration methods:
- 1. Skill Files (Claude Code, Cursor)
- Modern, discoverable skill files that agents can inspect and execute automatically.
- 2. MCP Tools (Universal)
- Model Context Protocol tools for broad agent compatibility.
- 3. Rules-Based (Legacy)
- Generated rule files for older integrations.
- JSON Output Structure
- NDJSON format with message types:
- log
-
- Progress messages
- output
-
- Main output content
- error
-
- Error messages
- warning
-
- Warning messages
- result
- Final operation result Environment Variables BRV_API_KEY - ByteRover API key BRV_TEAM - Team name BRV_SPACE - Space name BRV_HEADLESS - Enable headless mode (true) BRV_FORMAT - Output format (json/text) Notes ByteRover requires a browser-based OAuth flow for first-time setup API key authentication bypasses OAuth for headless environments Context is automatically synced across team members No markdown files cluttering your codebase Works with 19+ AI coding agents Troubleshooting Build fails: Ensure Docker daemon is running Check that port 80/443 is available Login fails: Verify API key is valid Check team and space names are correct Container exits: Check logs: docker-compose logs Ensure /workspace is mounted correctly Query returns no results: Initialize project with brv init Add context with brv curate Sync with brv pull Requirements Docker Docker Compose ByteRover account Active team and space License MIT Author Created for OpenClaw by Jun Suzuki For more information about ByteRover, visit: https://docs.byterover.dev/