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ByteRover CLI

v1.0.0•Knowledge & Memory•stable

ByteRover CLI (brv) - The portable memory layer for autonomous coding agents (formerly Cipher)

agentaiautonomous-agentsclicoding-assistant
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What is ByteRover CLI?

ByteRover CLI is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to byterover cli (brv) - the portable memory layer for autonomous coding agents (formerly cipher)

ByteRover CLI (brv) - The portable memory layer for autonomous coding agents (formerly Cipher)

This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • ByteRover CLI (brv) - The portable memory layer for autonomo

Use Cases

Portable memory layer for autonomous coding agents
Persist context across development sessions
campfirein

Maintainer

LicenseNOASSERTION
Languagetypescript
Versionv1.0.0
UpdatedMay 20, 2026
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux
View SourceBrowse All Servers

Installation

Manual Installation

npx byterover-cli

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

How to Set Up and Use ByteRover CLI

ByteRover CLI (brv) is a portable, open-source memory layer built specifically for autonomous coding agents, giving them persistent knowledge storage and context management across sessions and environments. Formerly named Cipher, it supports 20 LLM providers including Anthropic, OpenAI, Google, Groq, and DeepSeek, and integrates with all major agentic coding tools via MCP. Developers use it to ensure agents remember project-specific conventions, architectural decisions, and code patterns without injecting massive context blocks into every prompt.

Prerequisites

  • Node.js 18+ for npm-based installation, or macOS/Linux for the shell installer
  • An MCP-compatible coding client such as Cursor, Claude Desktop, Claude Code, or VS Code
  • API key for at least one supported LLM provider (Anthropic, OpenAI, Google, etc.)
  • curl available for the shell-based installer
1

Install ByteRover CLI

Install the brv CLI globally via npm (cross-platform) or using the shell installer on macOS/Linux.

npm install -g byterover-cli
# or on macOS/Linux:
curl -fsSL https://byterover.dev/install.sh | sh
2

Verify the installation

Confirm the brv binary is installed correctly by checking the version.

brv --version
3

Configure LLM and storage settings

Use brv settings to configure your LLM provider, API key, iteration budgets, and concurrent task limits. The settings persist in a platform-specific settings.json file.

brv settings
4

Initialize a project and add context

Navigate to your project directory, start ByteRover, and use the curate command to store key knowledge about the project for the agent to recall later.

cd /path/to/project
brv
/curate "This service uses PostgreSQL with Prisma ORM. All migrations live in /prisma/migrations." @prisma/schema.prisma
5

Configure your MCP client

Add ByteRover CLI as an MCP server in your client's configuration file. You can override the data directory with the BRV_DATA_DIR environment variable.

{
  "mcpServers": {
    "byterover": {
      "command": "npx",
      "args": ["byterover-cli"],
      "env": {
        "BRV_DATA_DIR": "/path/to/shared/memory"
      }
    }
  }
}
6

Open the web dashboard

Use the webui command to open the ByteRover dashboard in your browser, where you can browse stored knowledge, manage tasks, and view agent history.

brv webui

ByteRover CLI Examples

Client configuration

Claude Desktop configuration for ByteRover CLI with a custom data directory.

{
  "mcpServers": {
    "byterover": {
      "command": "npx",
      "args": ["byterover-cli"],
      "env": {
        "BRV_DATA_DIR": "/Users/yourname/.byterover"
      }
    }
  }
}

Prompts to try

Use ByteRover's persistent memory through your MCP-connected coding agent.

- "What database ORM does this project use?"
- "Remember that all API responses must include a requestId field for tracing"
- "Search stored context for anything related to our caching strategy"
- "What coding conventions has this project established for naming async functions?"

Troubleshooting ByteRover CLI

brv: command not found after npm global install

Run npm bin -g to find the global bin directory and add it to your PATH. Alternatively use the shell installer: curl -fsSL https://byterover.dev/install.sh | sh which handles PATH configuration automatically.

Agent pool or concurrent task limits exceeded

Adjust agentPool.maxSize (default 10) and agentPool.maxConcurrentTasksPerProject (default 5) via brv settings. Higher values require more system resources.

LLM request times out during a long agentic task

Increase llm.iterationBudgetMs (default 600000ms = 10 min) and llm.requestTimeoutMs (default 120000ms = 2 min) via brv settings. Long research or refactoring tasks may need higher budgets.

Frequently Asked Questions about ByteRover CLI

What is ByteRover CLI?

ByteRover CLI is a Model Context Protocol (MCP) server that byterover cli (brv) - the portable memory layer for autonomous coding agents (formerly cipher) It connects AI assistants to external tools and data sources through a standardized interface.

How do I install ByteRover CLI?

Follow the installation instructions on the ByteRover CLI GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with ByteRover CLI?

ByteRover CLI works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is ByteRover CLI free to use?

Yes, ByteRover CLI is open source and available under the NOASSERTION license. You can use it freely in both personal and commercial projects.

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Quick Config Preview

{ "mcpServers": { "byterover-cli": { "command": "npx", "args": ["-y", "byterover-cli"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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