ByteRover CLI Memory Layer

Skill by ara.so — Devtools Skills collection.

ByteRover CLI (brv) provides AI coding agents with persistent, structured memory. It creates a context tree for project knowledge, supports version control for context, syncs to the cloud, and enables sharing across tools and teammates. This skill teaches you to use ByteRover as a memory layer for autonomous coding workflows.

What ByteRover Does

ByteRover gives AI agents:

• Persistent memory across sessions via a local context tree
• Knowledge curation — store decisions, patterns, and domain knowledge
• Context retrieval — semantic search over project knowledge
• Version control — branch, commit, merge, and sync context like code
• Cloud sync — share context across machines and teammates
• Multi-LLM support — works with 20+ providers (Anthropic, OpenAI, Google, etc.)
• Agent tools — 24 built-in tools for file ops, code exec, memory management
• MCP integration — Model Context Protocol server for agent interop

Installation