v1.2.2

ByteRover

byteroverinc byteroverinc ← All skills

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/)

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Versions
2
Updated
2026-02-23

Install

npx clawhub@latest install byterover

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?"
Curate when you learned or created something valuable:
  • -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 handling

Launch an agent with ByteRover on Termo.