1
Cline CLI 2.0
Shares tags: ai
AI Tool
Open Code Review
OpenCode is an open-source AI coding agent that assists developers in writing, debugging, and refactoring code within their terminal, IDE, or desktop environment.
1As of January 2026, OpenCode reported 650,000 monthly active users.
2The project has accumulated over 120,000 GitHub stars and 800 contributors.
3The OpenCode Go Plan, launched in March 2026, provides access to specific models for $10/month.
4OpenCode supports over 75 LLM providers, including OpenAI, Anthropic Claude, and Google Gemini.
⚡
Open Code at a Glance
Connect
</>Embed "Featured on Stork" Badge▼
<a href="https://www.stork.ai/en/open-code" target="_blank" rel="noopener noreferrer"><img src="https://www.stork.ai/api/badge/open-code?style=dark" alt="Open Code - Featured on Stork.ai" height="36" /></a>
[](https://www.stork.ai/en/open-code)
overview
What is Open Code?
OpenCode is an open-source AI coding agent developed by OpenCode that enables developers to write, debug, and refactor code using natural language. It integrates directly into the terminal, IDEs, and desktop environments, supporting over 75 LLM providers for flexible AI model usage. Functioning as an AI-native development environment, OpenCode assists in tasks such as code generation, understanding large codebases, and automating development workflows. Its architecture prioritizes privacy by not storing user code or context data, making it suitable for sensitive development environments. Recent updates include the OpenCode Go Plan in March 2026 and full support for GitLab Agent Platform as of April 2026.
quick facts
Quick Facts
| Attribute | Value |
|---|---|
| Developer | OpenCode |
| Business Model | Freemium / Hybrid (Open-source core with paid subscription for specific models) |
| Pricing | Freemium; OpenCode Go Plan at $10/month (first month $5) |
| Platforms | Terminal, IDE (VS Code, JetBrains), Desktop, Node.js, Bun |
| API Available | No (integrates with third-party LLM APIs) |
| Integrations | GitHub, GitLab, OpenAI, Anthropic Claude, Google Gemini, AWS Bedrock, Groq, Azure OpenAI, OpenRouter, local models |
| Privacy Policy URL | https://opencode.ai/legal/privacy-policy |
| Training on User Data | Default Off |
features
Key Features of Open Code
OpenCode provides a comprehensive suite of features designed to enhance developer productivity and code quality. It operates across various development environments, offering flexibility and control over AI model selection. The platform's core capabilities focus on intelligent code assistance and workflow automation, ensuring privacy by design.
- 1Assists developers in writing code within their terminal, IDE, or desktop environment.
- 2Writes, debugs, and refactors code using natural language instructions.
- 3Generates specific code artifacts, including API routes, Terraform scripts, and Dockerfiles.
- 4Explains codebases, functions, and errors to improve understanding.
- 5Refactors multiple files and adds new features based on natural language prompts.
- 6Integrates with GitHub workflows to triage issues, fix bugs, implement features, and submit pull requests.
- 7Offers flexibility with support for over 75 AI models and providers, including local models.
- 8Provides a privacy-first architecture that does not store user code or context data.
- 9Supports Git-backed session review for uncommitted changes and branch diffs as of April 2026.
- 10Runs on both Node.js and Bun environments, enhancing deployment flexibility.
use cases
Who Should Use Open Code?
OpenCode is designed for a broad spectrum of technical professionals and organizations seeking to leverage AI for development tasks while maintaining control and privacy. Its adaptable nature makes it suitable for individual developers and large enterprises alike, particularly those with stringent data policies.
- 1**Developers & Engineers:** For writing, debugging, and refactoring code using natural language, accelerating daily coding tasks.
- 2**DevOps Engineers:** For generating infrastructure-as-code artifacts like Terraform scripts and Dockerfiles, and automating deployment processes.
- 3**Teams & Enterprises:** Requiring control, auditability, and privacy-sensitive development, as OpenCode does not store user code or context data.
- 4**Researchers & Students:** For understanding complex codebases, generating documentation, and experimenting with various AI models.
- 5**Power Users:** Seeking an open-source, model-agnostic AI agent that integrates deeply into their preferred terminal or IDE workflow.
pricing
Open Code Pricing & Plans
OpenCode operates on a freemium model, offering its core open-source functionality without cost. For users requiring reliable access to specific, popular open coding models, a subscription plan is available. The OpenCode Go Plan, introduced in March 2026, provides a low-cost option for enhanced capabilities.
- 1**Open-Source Core:** Free (provides access to the agent and integration capabilities, users bring their own LLM API keys or local models).
- 2**OpenCode Go Plan:** $10/month (first month $5). This plan provides reliable access to popular open coding models such as GLM-5, Kimi K2.5, and MiniMax M2.5, with models hosted in the US, EU, and Singapore. Primarily targeted at international users.
competitors
Open Code vs Competitors
OpenCode distinguishes itself in the AI coding agent landscape through its open-source nature, model agnosticism, and terminal-first design. While several tools offer similar functionalities, OpenCode emphasizes user control, privacy, and flexibility across a wide array of AI models, positioning it as a robust alternative to proprietary solutions.
1
Gemini Code Assist↗
Integrates Google's Gemini models directly into IDEs and provides an open-source command-line interface (Gemini CLI) for terminal-first development.
Similar to Open Code, Gemini Code Assist offers an open-source AI agent for the terminal and IDE integration. It provides a generous free tier for individual developers.
2
Kilo↗
Positioned as a popular open-source AI coding agent that understands your codebase and works across VS Code, JetBrains, and CLI.
Like Open Code, Kilo is an open-source AI coding agent that supports multiple environments (IDE and CLI). It emphasizes understanding the codebase and automating workflows.
3
Mentat↗
An open-source, command-line AI tool designed to tackle coding tasks by coordinating edits across multiple files and understanding project context.
Mentat is similar to Open Code in its terminal-first approach and open-source nature. Its strength lies in its ability to manage multi-file edits and understand project context, aligning with an agentic workflow.
4
Aider↗
An open-source AI pair programmer that works with a wide range of cloud and local LLMs and integrates with Git for automatic commits.
Aider is an open-source AI coding assistant that operates in the terminal and can be used within an IDE, similar to Open Code. It differentiates by its broad LLM compatibility and strong Git integration.
5
Cody by Sourcegraph↗
An open-source AI coding assistant that leverages advanced search to pull context from local and remote codebases directly within the IDE.
Cody is an open-source tool that integrates with IDEs, offering chat, inline edits, and code suggestions, similar to Open Code's IDE capabilities. Its strength is its deep codebase context understanding.
❓
Frequently Asked Questions
+What is Open Code?
OpenCode is an open-source AI coding agent developed by OpenCode that enables developers to write, debug, and refactor code using natural language. It integrates directly into the terminal, IDEs, and desktop environments, supporting over 75 LLM providers for flexible AI model usage.
+Is Open Code free?
OpenCode offers a freemium model. Its core open-source functionality is free, allowing users to integrate their own LLM API keys or local models. A paid subscription, the OpenCode Go Plan, is available for $10/month (first month $5) to access specific popular open coding models.
+What are the main features of Open Code?
Key features of OpenCode include assisting in writing, debugging, and refactoring code using natural language, generating code artifacts like API routes and Dockerfiles, explaining codebases, and integrating with GitHub workflows. It supports over 75 AI models and prioritizes private development by not storing user code or context data.
+Who should use Open Code?
OpenCode is suitable for developers, backend engineers, frontend teams, DevOps engineers, researchers, students, and power users. It is particularly beneficial for teams and enterprises requiring control, auditability, and privacy-sensitive development due to its architecture that does not store user code or context data.
+How does Open Code compare to alternatives?
OpenCode differentiates itself from competitors like Gemini Code Assist, Kilo, Mentat, Aider, and Cody by Sourcegraph through its extensive model agnosticism (supporting over 75 LLM providers), a strong emphasis on a privacy-first architecture, and its flexible integration across terminal, IDE, and desktop environments, offering a robust open-source alternative to proprietary tools.