ByteRover CLI (brv) - The portable memory layer for autonomous coding agents (formerly Cipher)
ByteRover CLI (`brv`) is a persistent memory layer for AI coding agents, installable via npm or a shell script, that stores structured project knowledge in a context tree and makes it queryable across sessions, machines, and teammates. Developers interact with it through an interactive REPL, a React/Ink terminal UI, or a web dashboard (`brv webui`), using commands like `/curate` to save facts tied to specific source files and `/query` to retrieve them. The tool exposes 24 built-in agent tools covering file operations, code execution, and knowledge search, and it connects to over 20 LLM providers including Anthropic. It integrates with Claude Code and more than 22 other coding agents via MCP, and supports git-style version control for the context tree with branch, commit, and push/pull operations. A cloud tier adds team sync, shared knowledge spaces, and SOC 2 Type II certified infrastructure. A standout detail is the benchmark performance: the system achieves 96.1% accuracy on LoCoMo and 92.8% on LongMemEval-S, both evaluated against the production codebase. Developers working on long-running or multi-contributor codebases benefit most.
- ✓License: NOASSERTION
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
- ✓Documented (README)
git clone https://github.com/campfirein/byterover-cli && cp byterover-cli/*.md ~/.claude/agents/1 items in this repository
You MUST use this skill for: (1) 'Show me how ByteRover works', 'walk me through ByteRover', tour, intro, walkthrough, or onboarding requests — runs a guided 90-second introduction; (2) gathering contexts before any work; (3) saving knowledge after any change. ByteRover stores and retrieves project patterns, decisions, and architectural rules in `.brv/context-tree`. Iron Law: query before thinking, curate after implementing.
Subagents overview
What people ask about byterover-cli
What is campfirein/byterover-cli?
+
campfirein/byterover-cli is subagents for the Claude AI ecosystem. ByteRover CLI (brv) - The portable memory layer for autonomous coding agents (formerly Cipher) It has 4.8k GitHub stars and was last updated 9d ago.
How do I install byterover-cli?
+
You can install byterover-cli by cloning the repository (https://github.com/campfirein/byterover-cli) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is campfirein/byterover-cli safe to use?
+
Our security agent has analyzed campfirein/byterover-cli and assigned a Trust Score of 95/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains campfirein/byterover-cli?
+
campfirein/byterover-cli is maintained by campfirein. The last recorded GitHub activity is from 9d ago, with 14 open issues.
Are there alternatives to byterover-cli?
+
Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
Deploy byterover-cli to your cloud
Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.
Maintain this repo? Add a badge to your README
Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.
[](https://claudewave.com/repo/campfirein-byterover-cli)<a href="https://claudewave.com/repo/campfirein-byterover-cli"><img src="https://claudewave.com/api/badge/campfirein-byterover-cli" alt="Featured on ClaudeWave: campfirein/byterover-cli" width="320" height="64" /></a>More Subagents
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
The agent that grows with you
Java 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发
Production-ready platform for agentic workflow development.
The agent engineering platform.
🤯 LobeHub is your Chief Agent Operator, organizing your agents into 7×24 operations by hiring, scheduling, and reporting on your entire AI team.