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Description

Crush is a sophisticated AI coding assistant that resides directly in your terminal, effortlessly linking your tools, code, and workflows with any large language model (LLM) you prefer. It features versatility in model selection, allowing you to pick from a range of LLMs or integrate your own through OpenAI or Anthropic-compatible APIs, and it facilitates mid-session transitions between these models while maintaining contextual integrity. Designed for session-based functionality, Crush supports multiple project-specific contexts operating simultaneously. Enhanced by Language Server Protocol (LSP) improvements, it offers coding-aware context similar to what developers find in their preferred editors. This tool is highly customizable, utilizing Model Context Protocol (MCP) plugins via HTTP, stdio, or SSE to expand its capabilities. Crush can be executed on any platform, utilizing Charm’s elegant Bubble Tea-based TUI to provide a refined terminal user experience. Developed in Go and distributed under the MIT license (with FSL-1.1 for trademark considerations), Crush empowers developers to remain in their terminal while benefiting from advanced AI coding support, thereby streamlining their workflow like never before. Its innovative design not only enhances productivity but also encourages a seamless integration of AI into everyday coding practices.

Description

dcode is a versatile open-source terminal coding assistant designed specifically for developers and software teams. Utilizing the Deep Agents SDK, it enables the planning and execution of coding tasks, allows for the inspection and editing of project files, runs various tools, and can assign work to subagents. Its interactive terminal interface provides a continuous stream of responses and facilitates the resumption of conversations across different sessions, while the headless mode is tailored for scripted and CI workflows. Users can choose from a range of compatible model providers and input their own credentials, enabling them to customize aspects such as models, tools, plugins, skills, memory, middleware, hooks, and approval rules. The platform offers the option to approve or reject tool calls, and supports code execution both locally and in designated remote sandboxes. Furthermore, dcode is compatible with MCP tools and can integrate with LangSmith to track prompts, responses, tool calls, errors, and token utilization. Overall, it is designed for developers seeking to configure and examine an AI coding agent, rather than relying on a pre-defined coding assistant, thus fostering a more tailored coding experience. This flexibility makes it an appealing choice for those who prioritize customization and control in their development processes.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

OpenAI Yes 
Amazon Bedrock Yes 
Claude Yes 
Claude Max Yes 
Deep Agents No 
FreeBSD Yes 
GLM Coding Plan Yes 
Gemini Enterprise Agent Platform Yes 
GitHub Copilot Yes 
Go Yes 
JSON Yes 
LM Studio Yes 
LangSmith No 
Model Context Protocol (MCP) Yes 
NetBSD Yes 
OAuth Yes 
Ollama Yes 
OpenBSD Yes 
OpenSpec Yes 
PowerShell Yes 

Integrations

OpenAI Yes 
Amazon Bedrock No 
Claude No 
Claude Max No 
Deep Agents Yes 
FreeBSD No 
GLM Coding Plan No 
Gemini Enterprise Agent Platform No 
GitHub Copilot No 
Go No 
JSON No 
LM Studio No 
LangSmith Yes 
Model Context Protocol (MCP) No 
NetBSD No 
OAuth No 
Ollama No 
OpenBSD No 
OpenSpec No 
PowerShell No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
dcode is an open-source terminal coding agent. Model-provider API usage may incur separate charges; optional LangSmith services are priced separately.
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Charm

Founded

2019

Country

United States

Website

github.com/charmbracelet/crush

Vendor Details

Company Name

LangChain

Founded

2023

Country

United States

Website

www.langchain.com/dcode

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