
OpenCode
Open-source AI agent for developers, available in the terminal, IDE, and as a desktop application.
Overview
OpenCode
Description of the OpenCode neural network
OpenCode is an open-source AI agent for developers that works in the terminal, IDE, and as a desktop application. The tool connects to more than 75 LLM providers, including Claude, GPT, and local models, without locking users into a single vendor. OpenCode supports two operating modes (Build and Plan), uses LSP to understand code structure, and works with MCP servers, /init and /undo commands. With it, you can generate code, perform refactoring, explain fragments, and fix errors directly from the console or a built-in editor with a customizable TUI interface.
OpenCode characteristics
| Characteristic | Value |
|---|---|
| Type | AI agent for developers |
| License | MIT (open source) |
| Developer | Anomaly (USA) |
| Operating modes | Build (full file access) and Plan (read-only and propose a plan without edits) |
| Model provider support | More than 75 LLM providers (Anthropic, OpenAI, Google, OpenRouter, local via Ollama, etc.) |
| Subscription support | GitHub Copilot, ChatGPT Plus/Pro |
| Free tier available | Yes (free agent, pay only for provider tokens or free models in Zen) |
| Interface language | Russian interface: No, Russian language: Yes |
| Platforms | WEB, PC, Mobile, IDE, API, CLI, MCP |
| Business model | Free |
Who is the OpenCode neural network for?
Developers who value model choice freedom
OpenCode suits developers who need an agent next to their repository and the ability to choose from dozens of LLM providers. The tool does not lock users into a single vendor, allowing them to switch between cloud and local models depending on the task.
Teams with privacy requirements
The tool suits teams working in environments that restrict external SaaS services. The ability to connect local models and a corporate AI gateway allows code to stay within the company's perimeter.
Developers who prefer the terminal
OpenCode is aimed at users accustomed to working in the console. The terminal interface with theme support and a built-in editor turns the command line into a full-fledged development environment with an AI assistant.
How to use the OpenCode neural network?
Installation
Installation is done with a single command via npm. After installation, you can start working with a free model in Zen or with your own API key from any supported provider.
Getting started with a project
It is recommended to start with the /init command to analyze the project and create an AGENTS.md file. In unfamiliar code, it is better to use plan mode, which suggests changes without applying them, reducing the risk of erroneous edits.
Switching between modes
OpenCode supports two built-in agents: Build (full file access, ability to make changes) and Plan (read-only and propose a plan). Switching between them is done with Tab.
Key features of OpenCode
Operating modes and navigation
OpenCode provides two modes: Build for active work with code and Plan for analysis without making edits. The tool supports the /init (project analysis), /undo (revert changes), and /redo (restore reverted changes) commands. Quick file search is done via the @ symbol.
LSP context and code work
The tool uses the Language Server Protocol (LSP) to obtain context about types, symbols, and errors in the code. Users can add images to the prompt by dragging them into the terminal, generate new code, perform refactoring, explain complex fragments, and fix errors.
Extensibility and integrations
OpenCode supports MCP servers (local and remote), custom commands, themes, code formatters, plugins, and an SDK. Integrations with GitHub and GitLab are available, as well as a server mode and ACP support. The tool allows running multiple parallel sessions in one project and sharing session links with colleagues.
Advantages of OpenCode
Openness and freedom of choice
OpenCode has an open-source codebase under the MIT license, with no claims on user code. The tool provides freedom of choice from more than 75 model providers, including local solutions and GitHub Copilot or ChatGPT subscriptions.
Security and control
LSP context, plan mode, and the /undo command reduce the risk of incorrect agent actions. Transparent Zen pricing with no markup and four free models available allow you to control costs.
Extensibility
Broad extensibility through MCP, plugins, SDK, custom agents, and commands allows the tool to be adapted to the specific needs of a project or team.
Disadvantages of OpenCode
Dependence on the model and interface
The quality of the result heavily depends on the chosen model and its configuration. The terminal interface may be unfamiliar to some users; on Windows, using WSL is recommended.
Context consumption and setup
A large number of MCP tools quickly consumes context. Setting up for a team (providers, permissions, configs) takes time. Free Zen models may collect data to improve models.
What tasks does OpenCode solve?
Code analysis and writing
OpenCode is suitable for analyzing and understanding an unfamiliar codebase using plan mode and questions about files. The tool allows writing new features according to an agreed plan, performing refactoring, and routine code edits.
Automation and teamwork
The tool supports automation via CLI and SDK in scripts and CI pipelines. For teamwork, multiple parallel agents and session sharing via links are available. OpenCode is also suitable for working with code in environments that restrict external SaaS services through an internal AI gateway.
OpenCode pricing
The OpenCode agent itself is free (MIT license). Payment goes to providers for tokens — via your own API key, a Copilot or ChatGPT subscription, or a local model. There is an optional OpenCode Zen gateway with pay-as-you-go pricing (prices per 1 million tokens are published), with a starting deposit of $20 and auto-recharge from $5 (can be disabled). Zen offers 4 free models. Zen team workspaces are currently free in beta. For Enterprise, pricing is discussed individually.
Terms of use for OpenCode
You can work with your own API keys, subscriptions (GitHub Copilot, ChatGPT), or through the Zen gateway. Free Zen models may use request data to improve models. An Enterprise solution with SSO and work through a corporate gateway is available. To use the extended capabilities of Claude Pro or Max models, signing in with an Anthropic account is required.
OpenCode availability
OpenCode is available on the web platform, PC, mobile devices, in IDEs, via API, CLI, and MCP. Russian is supported, but there is no Russian interface. The tool is installed via npm, which implies cross-platform support.
How OpenCode differs from alternatives
OpenCode is positioned as an open alternative to closed coding agents. The main difference is the lack of ties to a single model vendor and no claims on user code rights. The tool supports more than 75 LLM providers, including local models, giving developers full control over the technologies and data they use.
Conclusion
OpenCode is a free and open-source AI agent for developers with broad model choice capabilities (more than 75 providers) and high extensibility. The tool suits both individual work (code analysis, refactoring) and teams (parallel sessions, link sharing). It is monetized through the optional Zen gateway and Enterprise deployments. The main limitations include dependence on model quality, the terminal interface, and potential privacy concerns when using free Zen models.
Pricing
Frequently asked questions
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