Manages project knowledge using ByteRover context tree. Provides two operations: query (retrieve knowledge) and curate (store knowledge). Invoke when user requests information lookup, pattern discovery, or knowledge persistence. Developed by ByteRover Inc. (https://byterover.dev/)
Install
Documentation
ByteRover Context Tree
A project-level knowledge repository that persists across sessions. Use it to avoid re-discovering patterns, conventions, and decisions.
Why Use ByteRover
- -Query before working: Get existing knowledge about patterns, conventions, and past decisions before implementing
- -Curate after learning: Capture insights, decisions, and bug fixes so future sessions start informed
Quick Reference
| Command | When | Example |
|---------|------|---------|
| brv query "question" | Before starting work | brv query "How is auth implemented?" |
| brv curate "context" -f file | After completing work | brv curate "JWT 24h expiry" -f auth.ts |
| brv status | To check prerequisites | brv status |
When to Use
Query when you need to understand something:- -"How does X work in this codebase?"
- -"What patterns exist for Y?"
- -"Are there conventions for Z?"
- -Implemented a feature using specific patterns
- -Fixed a bug and found root cause
- -Made an architecture decision
Curate Quality
Context must be specific and actionable:
Good - specific, explains where and why
brv curate "Auth uses JWT 24h expiry, tokens in httpOnly cookies" -f src/auth.ts
Bad - too vague
brv curate "Fixed auth"
Note: Context argument must come before -f flags. Max 5 files.
Best Practices
1. Break down large contexts - Run multiple brv curate commands for complex topics rather than one massive context. Smaller chunks are easier to retrieve and update.
2. Let ByteRover read files - Don't read files yourself before curating. Use -f flags to let ByteRover read them directly:
# Good - ByteRover reads the files
brv curate "Auth implementation details" -f src/auth.ts -f src/middleware/jwt.ts
# Wasteful - reading files twice
# [agent reads files] then brv curate "..." -f same-files
3. Be specific in queries - Queries block your workflow. Use precise questions to get faster, more relevant results:
# Good - specific
brv query "What validation library is used for API request schemas?"
# Bad - vague, slow
brv query "How is validation done?"
4. Signal outdated context - When curating updates that replace existing knowledge, explicitly tell ByteRover to clean up:
brv curate "OUTDATED: Previous auth used sessions. NEW: Now uses JWT with refresh tokens. Clean up old session-based auth context." -f src/auth.ts
5. Specify structure expectations - Guide ByteRover on how to organize the knowledge:
# Specify topics/domains
brv curate "Create separate topics for: 1) JWT validation, 2) refresh token flow, 3) logout handling" -f src/auth.ts
# Specify detail level
brv curate "Document the error handling patterns in detail (at least 30 lines covering all error types)" -f src/errors/
Prerequisites
Run brv status first. If errors occur, the agent cannot fix them—instruct the user to take action in their brv terminal. See [TROUBLESHOOTING.md](TROUBLESHOOTING.md) for details.
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See also: [WORKFLOWS.md](WORKFLOWS.md) for detailed patterns and examples, [TROUBLESHOOTING.md](TROUBLESHOOTING.md) for error handlingLaunch an agent with ByteRover on Termo.