Crush

Crush

Charm
+
+

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About

Claw Code is an open-source AI coding agent framework designed to replicate and expand upon modern AI-assisted development architectures. Built using a combination of Python and Rust, it delivers a modular and high-performance system for coding automation. The framework features a plugin-based tool system, allowing developers to execute tasks like file operations, shell commands, and web interactions with permission controls. Its core query engine manages LLM interactions, enabling intelligent code generation, analysis, and multi-step task execution. Claw Code supports multi-agent orchestration, allowing complex tasks to be broken down into parallel workflows. It is provider-agnostic, meaning it can integrate with multiple AI models rather than being limited to a single ecosystem. Overall, Claw Code offers developers a flexible, transparent, and customizable foundation for building advanced AI coding agents.

About

Crush is a glamorous AI coding agent that lives right in your terminal, seamlessly connecting your tools, code, and workflows with any Large Language Model (LLM) of your choice. It offers multi-model flexibility, letting you choose from a variety of LLMs or add your own using OpenAI or Anthropic-compatible APIs, and supports mid-session switching between them while preserving context. Crush is session-based, enabling multiple project-specific contexts to coexist. Powered by Language Server Protocol (LSP) enhancements, it incorporates coding-aware context just like a developer’s editor. It's highly extensible via Model Context Protocol (MCP) plugins using HTTP, stdio, or SSE for added capabilities. Crush runs anywhere, leveraging Charm’s sleek Bubble Tea-based TUI for a polished terminal user experience. Written in Go and MIT-licensed (with FSL-1.1 for trademarks), enabling developers to stay in their terminal while taking advantage of expressive AI coding assistance.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers, AI engineers, and technical teams seeking an open-source framework to build customizable and scalable AI-powered coding agents

Audience

Developers and technical users in search of a solution offering an AI-powered coding assistant that integrates seamlessly with their workflows

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Open source
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

Pros & Cons from Real Users

Pros

  • Crush is really appealing from a developer’s point of view because it brings agentic coding into the terminal without making the workflow feel bloated. It feels like a tool for people who already live in the command line and want an AI agent that can work with their existing code, tools, and habits. I like that it is open source and model-flexible. Being able to wire your own LLM into the workflow is a big deal because different coding tasks need different tradeoffs around cost, speed, context, and reasoning quality. The terminal UI is also a nice fit for real development work. Crush is not trying to replace the whole IDE; it gives you an agentic layer where you can ask for help, work through code, run commands, and stay close to the environment you already use. The active GitHub repo is a good sign too. Frequent commits, lots of stars, and ongoing work around providers, MCP, hooks, and shell features make it feel like a project with real momentum instead of a one-off AI demo.

Cons

  • Crush is probably not the best fit for someone who wants a polished, hand-holdy coding assistant with everything abstracted away. It feels more geared toward developers who are comfortable in the terminal and want control over models, config, permissions, and workflows. I would also be careful with any AI coding agent that can interact with your shell and project files. Recent research on coding-agent setup workflows shows that agents can be vulnerable to malicious or misleading project instructions, dependency names, registry redirects, and unsafe install steps, so developers still need review habits and guardrails. For production repos, I would keep permissions tight, review commands, watch file diffs, and avoid letting any agent run destructive operations without explicit approval.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Claw Code
Founded: 2026
claw-code.codes/

Company Information

Charm
Founded: 2019
United States
github.com/charmbracelet/crush

Alternatives

Claude Code

Claude Code

Anthropic

Alternatives

Factory Droid

Factory Droid

Factory.ai
OpenCode

OpenCode

Anomaly Innovations
OpenClaw

OpenClaw

Molty
Auggie CLI

Auggie CLI

Augment Code
Cline

Cline

Cline AI Coding Agent

Categories

Categories

Integrations

Claude
Model Context Protocol (MCP)
Amazon Bedrock
Claude Haiku 4.5
Claude Sonnet 4.6
GLM-5
GLM-5-Turbo
GLM-5.1
GLM-5.2
GPT-5.4
GPT-5.4 Pro
GPT-6
Gemini 3.1 Pro
Gemini 3.5 Pro
Go
JSON
LM Studio
Ollama
OpenAI
PowerShell

Integrations

Claude
Model Context Protocol (MCP)
Amazon Bedrock
Claude Haiku 4.5
Claude Sonnet 4.6
GLM-5
GLM-5-Turbo
GLM-5.1
GLM-5.2
GPT-5.4
GPT-5.4 Pro
GPT-6
Gemini 3.1 Pro
Gemini 3.5 Pro
Go
JSON
LM Studio
Ollama
OpenAI
PowerShell
Claim Claw Code and update features and information
Claim Claw Code and update features and information
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