ByteRover CLI is a command-line tool that provides persistent, structured memory for AI coding agents and autonomous development workflows.
The tool addresses the challenge of maintaining context and knowledge across multiple AI agent sessions and tools. It works by letting developers curate project knowledge into a context tree that can be stored locally or synced to the cloud. When you run the interactive REPL in a project directory, the agent gains understanding of your codebase through an agentic map and can read files, execute code, and store knowledge for future sessions. The context tree supports git-like version control operations including branching, committing, merging, and pushing or pulling changes.
ByteRover CLI suits teams using multiple AI coding agents who need shared, persistent project context across sessions and tools. It integrates with over twenty LLM providers and works with numerous AI coding agents including Cursor, Claude Code, Windsurf, and Cline. The tool offers both a web dashboard for curating and querying context and an interactive terminal interface. It includes twenty-four built-in agent tools covering code execution, file operations, knowledge search, and memory management, plus a review workflow for approving or rejecting pending changes. The project provides a hub and connectors ecosystem for extending capabilities with additional skills and bundles.
The project maintains active development with regular updates to support new LLM providers and AI coding agents. The tool has been benchmarked on long-term conversational memory tasks, demonstrating high accuracy on both ultra-long conversation retrieval and large-scale multi-session knowledge synthesis scenarios. Development includes ongoing work on enterprise features such as proxy support and collaborative workflows. The codebase is written in TypeScript and distributed both as an npm package and as self-contained binaries for macOS and Linux platforms.
