OpenCode: Open-Source Terminal Coding Agent | Features & Pricing
Developers switch between 3-4 separate tools — editor, terminal, browser AI chat — just to get one feature built and debugged. OpenCode is an open-source coding agent, listed in our Developer Tools directory, that writes, edits, and debugs code directly inside the terminal, desktop app, web app, or IDE. Particularly strong at provider-agnostic terminal workflows — teams wanting a fully managed, single-vendor product should look elsewhere.
- China 24.3%
- United States 9.9%
- India 5.8%
- Brazil 4.5%
- Other 55.4%
What OpenCode Does
OpenCode is an open-source terminal coding agent that plans, writes, and revises code across an existing codebase for individual developers and engineering teams.
Instead of copy-pasting between a chat window and an editor, developers run OpenCode where they already work. It separates planning mode from build mode, so a proposed change can be reviewed before any file is touched.
It also runs as an extension inside editors that support the Agent Client Protocol, including Visual Studio Code, Cursor, and JetBrains IDEs, so the same agent follows the developer across environments.
Main Features
Terminal AI Coding Agent
Runs directly in the command line, letting a developer describe a change in natural language and get code edits applied without leaving the shell. It reads the surrounding codebase context to propose relevant changes. This removes the need to alt-tab into a separate chat app for every question, keeping the coding loop inside one window.
Planning Mode
Generates a written implementation plan before touching any files, outlining which functions or modules will change and why. Developers review and adjust the plan first, then approve it. This catches misunderstood requirements early, avoiding wasted edits on the wrong files across a codebase with hundreds of files.
Build Mode
Switches the agent from planning into execution, applying the approved changes across the relevant files. It works incrementally rather than rewriting entire files, so existing code structure stays intact. This split between planning and building gives developers a checkpoint before any code is actually modified.
Undo and Redo
Supports reverting the last set of agent-applied changes with a /undo command, and reapplying them with /redo. This works like a lightweight version-control layer on top of the agent’s edits, independent of git commits. Developers can experiment with a suggested change without committing to it immediately.
Image Input
Accepts images dropped directly into the terminal and uses them as part of the prompt context. A developer can drop a UI mockup or a screenshot of a bug and ask the agent to act on it. This turns visual references into code changes without a separate design-handoff step.
Provider Flexibility
Connects to multiple AI model providers through user-supplied API keys instead of locking developers into one vendor’s model. Teams choose which provider fits their budget or performance needs and switch as pricing or model quality changes. This keeps OpenCode usable even as the underlying model landscape shifts.
Enterprise Security & Compliance
OpenCode is open source, so the codebase itself is publicly auditable rather than relying on a vendor’s private security claims. Because users bring their own model provider and API keys, code and prompts route through the provider the team already trusts, rather than a third-party OpenCode-hosted service. Named compliance certifications were not published at the time of writing.
Use Cases
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Feature Development in Large Codebases
A software engineer adding a mid-size feature across a codebase with hundreds of files uses planning mode to scope the change, then build mode to apply it, cutting review-cycle back-and-forth versus manual refactoring.
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Mockup-to-Code Translation
A frontend team turning 10+ design mockups into working UI drops screenshots into the terminal using image input, letting the agent draft matching components before a developer refines the markup by hand.
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Standardized AI Workflow Across Editors
A platform team supporting engineers across VS Code, Cursor, and JetBrains standardizes on OpenCode’s IDE extension and desktop app, giving 20+ developers one consistent agent instead of per-editor tools.
Best For
OpenCode is built for developers who work primarily in the terminal or in editor-based workflows.
Individual software engineers refactoring existing code, frontend developers converting mockups into UI, and platform teams standardizing AI tooling across multiple IDEs all fit well. Teams wanting one managed, fully hosted product with no setup should look elsewhere.
Pricing
OpenCode uses custom, provider-based pricing — there is no public tier list published for the tool itself.
Because OpenCode is open source, the software has no license fee. Actual cost depends on the model provider a developer connects (their own API keys and usage-based billing), so total spend scales with how much a team calls its chosen AI provider, not with an OpenCode subscription.
Quick Comparison
Claude Code is OpenCode’s main alternative for terminal-based AI coding. Claude Code wins on a polished, managed product experience tightly integrated with Anthropic’s proprietary models. OpenCode wins on being open source and provider-agnostic, running across terminal, desktop app, web app, and multiple IDEs via provider flexibility. Choose Claude Code if a team wants a single-vendor managed product with minimal setup. Choose OpenCode if the team wants to swap model providers and use one agent across VS Code, Cursor, and JetBrains.
Verdict
OpenCode cuts the tool-switching between terminal, editor, and browser AI chat down to one agent across 4 environments — terminal, desktop, web, and IDE. It fits developers who want provider flexibility over a managed, single-vendor experience.
