openagent @ codebuff ~ $

cat README.md

Codebuff

Terminal-native AI coding agent that understands your entire codebase and makes precise, style-consistent edits from natural language instructions.

# 4.5K Stars · 0.2K Forks · Proprietary License // verified 2026-06-04
codebuff/main
$npm install -g codebuff
Installing Codebuff...
Codebuff ready
$codebuff --help
Reading codebuff configuration & environment...
# core strengths

What makes Codebuff different

Multi-agent architecture

Coordinates specialized sub-agents — File Explorer, Planner, Editor, Reviewer — each focused on a specific aspect of the coding task.

Specialized agents outperform single-model approaches. Codebuff beats Claude Code 61% to 53% on its public benchmarks across 175+ real-world coding tasks.

Whole-codebase understanding

Automatically maps project structure, dependencies, and hidden patterns before making any changes.

Deep context leads to more accurate edits that respect existing patterns, reducing the need for manual review and cleanup.

Persistent knowledge files

Stores project insights and preferences in markdown knowledge files that evolve with every session.

The agent gets smarter about your specific project over time, learning patterns and preferences without requiring manual configuration.

Any model on OpenRouter

Supports any model available on OpenRouter — from Claude and GPT to DeepSeek, Qwen, and specialized models.

Switching models is a config change, not a migration. Use the best model for each task without platform lock-in.
# quick start

Your first command

terminal
$npm install -g codebuff
# use cases

How developers use Codebuff

01

Full-stack feature implementation

Describe a feature in plain English; Codebuff understands the full stack and updates backend, frontend, and test files.

02

Style-consistent refactoring

Ask Codebuff to refactor a module — it preserves existing patterns, naming conventions, and architectural decisions.

03

Automated test generation

Point Codebuff at a module, and it generates comprehensive tests that match the existing test patterns in your project.

# comparison

How Codebuff compares

Choose Codebuff for multi-agent architecture and codebase awareness vs Claude Code

Codebuff's multi-agent system and knowledge files provide deeper project context over time. Claude Code has stronger single-session reasoning with its large context window.

# faq

Questions

Q: What should I check before using Codebuff?

Start with one safe workflow for Codebuff. Inspect official setup instructions, required credentials, execution logs, approval points, and failure recovery before expanding from a sandbox task into production automation.

Q: Is Codebuff open source?

Codebuff is listed with Proprietary based on the official source links in this profile. The source code is available on GitHub but the license may restrict commercial use.

Q: How does Codebuff's multi-agent architecture work?

Codebuff coordinates specialized sub-agents — File Explorer, Planner, Editor, Reviewer — each optimized for a specific aspect of the coding task, then combines their outputs for better results.