byterover-cli
ByteRover CLI (brv) - The portable memory layer for autonomous coding agents (formerly Cipher)
ByteRover CLI is a persistent memory and context management layer for AI coding agents that integrates via the Model Context Protocol. It maintains a structured knowledge tree of project information, allows developers to curate domain knowledge with natural language commands, and syncs context across tools and team members. The agent skill provides 24 built-in tools for file operations, code execution, and knowledge retrieval, works with 20+ LLM providers, and includes git-like version control for context trees. It runs as an interactive REPL or MCP server that connects to editors like Cursor, Claude Code, Windsurf, and Cline.
Key Features
Use Cases
- 01Giving AI coding assistants persistent memory of project architecture and domain knowledge across sessions
- 02Sharing curated context knowledge about codebases across development teams
- 03Querying project-specific information that spans multiple files and conversations
- 04Maintaining versioned context trees with branching and merging for different project phases
- 05Syncing agent context across multiple machines and development environments
- 06Building custom agent skills via the Hub and connectors ecosystem
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byterover-cli — FAQ
What is ByteRover CLI and what does it do?+
ByteRover CLI is a memory layer for AI coding agents that stores and manages project context in a structured knowledge tree. It provides persistent memory across sessions, allowing agents to curate and query domain knowledge, execute code, and access project information via the Model Context Protocol.
How do I install ByteRover CLI?+
On macOS and Linux, run the shell script installer with curl -fsSL https://byterover.dev/install.sh | sh (no Node.js required). Alternatively, install via npm with npm install -g byterover-cli if you have Node.js 20 or higher.
Which AI clients and coding agents work with ByteRover?+
ByteRover integrates with 22+ AI coding agents including Cursor, Claude Code, Windsurf, Cline, and others via MCP server mode. It also works with Claude Desktop and any MCP-compatible client.
Do I need API keys or a ByteRover Cloud account?+
ByteRover works locally by default without any account. You'll need an API key from your chosen LLM provider (Anthropic, OpenAI, etc.) to power the agent. ByteRover Cloud is optional for team sync and provides limited free hosted LLM usage.
Is ByteRover CLI free to use?+
Yes, ByteRover CLI is open source under the Elastic License 2.0 and free to use locally. ByteRover Cloud offers a free tier with limited usage, plus paid plans for team collaboration and additional credits.
How do I start the MCP server for my AI editor?+
Run brv mcp to start the MCP server, then configure your AI client to connect to it. The exact configuration depends on your editor; consult the ByteRover documentation for client-specific setup instructions.
How do I install byterover-cli?+
Open the source repository on GitHub and follow its README. byterover-cli is a mcp server — MCP Agents Market links you directly to the official repo.
Is byterover-cli free?+
byterover-cli is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.