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features
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support

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Description

Command Code is an advanced coding assistant that operates within the terminal, enabling the creation of comprehensive full-stack applications, deploying new features, troubleshooting issues, writing test cases, and optimizing code, all while adapting to the unique workflows of individual developers. It harnesses the power of the meta neuro-symbolic taste-1 model alongside continuous reinforcement learning, interpreting every suggestion, rejection, and modification as valuable feedback, which allows it to identify and cultivate recurring preferences, structures, patterns, and tools into enduring skills and memories for each project. Rather than simply adhering to standard best practices, it assimilates developers' code review techniques, stylistic inclinations, architectural choices, as well as their preferred package managers and libraries, even those minor conventions that often go undocumented, thereby applying this contextual understanding in future interactions. Command Code is equipped with features that facilitate interactive command-line interface operations, headless prompts, automated task execution, planning capabilities, background sandboxes, customizable agents, checkpoints, and memory retention across different sessions, providing a truly personalized coding experience. This innovative tool not only streamlines the development process but also empowers developers to enhance their productivity and maintain consistency in their coding practices over time.

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

Anthropic Yes 
OpenAI Yes 
Claude Yes 
Claude Opus 4.8 Yes 
Deep Agents No 
GPT-5 Yes 
Kimi K3 Yes 
LangSmith No 

Integrations

Anthropic Yes 
OpenAI Yes 
Claude No 
Claude Opus 4.8 No 
Deep Agents Yes 
GPT-5 No 
Kimi K3 No 
LangSmith Yes 

Pricing Details

$1 per month
Free Trial No 
Free Version No 

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

Types of Training

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

Vendor Details

Company Name

Command Code

Founded

2023

Country

United States

Website

commandcode.ai/

Vendor Details

Company Name

LangChain

Founded

2023

Country

United States

Website

www.langchain.com/dcode

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