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OpenCode

OpenCode is an open source AI coding agent that helps developers write code in the terminal, IDE, or desktop. It supports multiple LLM providers, local models, LSP integration, multi-session agents, and privacy-focused workflows.

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Overview

OpenCode is an AI coding assistant and open source terminal-native agent that helps developers write, refactor, and debug code across the terminal, IDE, and desktop, with pricing starting free under the MIT license. It targets developers who want full control over their LLM provider, local model usage, and data privacy without vendor lock-in.

Built as a provider-agnostic alternative to closed-source tools like Claude Code and Cursor, OpenCode integrates directly with major LLM providers including Anthropic Claude, OpenAI GPT, and Google Gemini, and supports dozens more through aggregators like OpenRouter and LiteLLM — as well as local models via Ollama. The agent runs natively in the terminal as a TUI but also offers IDE plugins and a desktop interface, allowing developers to choose their preferred surface. Multi-session support lets engineers run several parallel agents on different branches or tasks simultaneously, while built-in LSP (Language Server Protocol) integration gives the agent the same code-intelligence context that modern IDEs use — improving accuracy on large codebases.

Compared to the dozens of AI coding assistants in our directory of 870+ AI tools, OpenCode stands out by being fully open source (MIT licensed), self-hostable, and free of telemetry by default. This makes it particularly attractive to enterprise teams with compliance requirements, security researchers, and developers who want to use API keys they already pay for rather than a per-seat subscription. The tradeoff is configuration complexity: unlike turnkey tools such as Cursor or GitHub Copilot, OpenCode requires the user to bring their own API keys, manage model routing, and tune agent behavior — which rewards power users but raises the bar for beginners.

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Key Features

Multi-Provider LLM Support+

OpenCode connects directly to major LLM providers including Anthropic Claude, OpenAI GPT-4o and o3, and Google Gemini, with access to dozens of additional models through aggregators like OpenRouter and LiteLLM. Developers can switch providers per session or per task, optimizing for cost, latency, or capability without changing tools.

Terminal-Native TUI+

The primary interface is a fully-featured terminal UI built for keyboard-driven workflows, fitting naturally into tmux, screen, and modern terminals like Ghostty or WezTerm. This keeps developers in their existing environment instead of forcing a switch to a new IDE or browser-based tool.

LSP Integration+

OpenCode taps into Language Server Protocol servers for accurate symbol resolution, type information, and cross-file refactoring. This gives the agent the same code-intelligence context as a modern IDE, dramatically improving accuracy on large or polyglot codebases.

Multi-Session Parallel Agents+

Developers can run multiple agent sessions in parallel — for example, one fixing bugs on a release branch while another implements a new feature on main. Each session is isolated, allowing safe concurrent work without context bleed between tasks.

Open Source and Self-Hostable+

The entire stack is open source under the MIT license, with no telemetry enabled by default. Teams can audit the code, fork it, run it inside an air-gapped network, and customize agent behavior to match internal coding standards or compliance policies.

Pricing Plans

Open Source

Free

  • ✓Full access to OpenCode CLI, TUI, and desktop apps
  • ✓Bring your own API key for any supported LLM provider
  • ✓Local model support via Ollama (no API costs)
  • ✓Multi-session parallel agents
  • ✓LSP integration and IDE plugins
  • ✓Self-hostable, no telemetry

Typical API Costs (BYOK)

$5–$50/month

  • ✓Anthropic Claude Sonnet: ~$3/M input, ~$15/M output tokens — typical developer ~$10–$30/month
  • ✓OpenAI GPT-4o: ~$2.50/M input, ~$10/M output tokens — typical developer ~$5–$20/month
  • ✓Google Gemini Pro: ~$1.25/M input, ~$5/M output tokens — typical developer ~$3–$15/month
  • ✓OpenRouter: pay-per-token access to 100+ models, billed by provider rates
  • ✓Local models via Ollama: $0 API cost (hardware and electricity only)
See Full Pricing →Free vs Paid →Is it worth it? →

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Best Use Cases

🎯

Terminal-first developers who want an AI coding agent inside tmux, iTerm, or Ghostty without switching to a new IDE

⚡

Enterprise teams with compliance requirements that mandate self-hosted or auditable AI tooling

🔧

Engineers who already pay for Anthropic, OpenAI, or OpenRouter API access and want to avoid duplicate per-seat coding-assistant subscriptions

🚀

Privacy-conscious developers who need to run agents against local Ollama models with no data leaving their machine

💡

Power users who want to run multiple parallel agent sessions across different git branches or repositories simultaneously

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Open source maintainers and security researchers who need to audit, fork, or extend their AI tooling

Limitations & What It Can't Do

We believe in transparent reviews. Here's what OpenCode doesn't handle well:

  • ⚠Requires manual API key setup and provider configuration before first use
  • ⚠No managed hosted experience — users handle their own infrastructure and billing
  • ⚠Quality and feature parity vary by underlying model provider chosen
  • ⚠IDE integrations are less mature than first-party Cursor or Copilot plugins
  • ⚠Smaller ecosystem of community extensions and prompts compared to commercial competitors

Pros & Cons

✓ Pros

  • ✓Fully open source under MIT license — auditable, forkable, and self-hostable for compliance-sensitive teams
  • ✓Provider-agnostic with direct support for major LLM providers and access to dozens more through aggregators like OpenRouter and LiteLLM
  • ✓Bring-your-own API key model means you only pay model costs — no per-seat subscription markup
  • ✓Native terminal TUI keeps developers in their existing workflow without forcing an IDE switch
  • ✓LSP integration provides accurate symbol resolution and refactoring across large codebases
  • ✓Multi-session support lets you run parallel agents on separate branches or tasks at the same time

✗ Cons

  • ✗Steeper setup curve than turnkey tools — requires API key configuration and provider selection
  • ✗Smaller community and ecosystem compared to Cursor, Copilot, or Claude Code
  • ✗Quality depends entirely on the underlying model you connect — not a curated experience
  • ✗Limited polish in IDE plugins compared to first-party Cursor or VS Code Copilot integrations
  • ✗Documentation and onboarding still maturing as the project evolves rapidly

Frequently Asked Questions

Is OpenCode actually free to use?+

Yes, OpenCode itself is fully free and open source — there is no subscription fee for the agent, the TUI, or the desktop app. However, you pay the API costs of whichever LLM provider you connect (such as Anthropic, OpenAI, or Google), and those costs are billed directly by the provider. If you run local models via Ollama, your usage is effectively free aside from hardware and electricity. This bring-your-own-key model typically saves money for heavy users compared to fixed-seat subscriptions.

How does OpenCode compare to Claude Code or Cursor?+

OpenCode is the open source counterpart to closed tools like Claude Code and Cursor — it offers similar terminal-agent capabilities but is provider-agnostic and self-hostable. Claude Code is locked to Anthropic models and Cursor is an IDE fork with proprietary backend services, while OpenCode lets you choose from major providers directly or access many more through aggregators like OpenRouter. The tradeoff is that OpenCode requires more configuration and lacks some of the polished UX features of commercial alternatives.

Can I use OpenCode with local models for privacy?+

Yes, OpenCode integrates with Ollama and other local model runners, so you can run agents entirely on your own hardware without sending code to any external API. This is one of the main reasons enterprise and security-conscious teams adopt it. The quality of suggestions will depend on the size and capability of your local model — a 70B parameter model will perform much better than a 7B one, but both will keep your code on-device.

What is LSP integration and why does it matter?+

LSP (Language Server Protocol) is the same standard that powers code intelligence in VS Code, Neovim, and JetBrains IDEs — it provides accurate symbol lookup, type information, and refactoring across files. OpenCode's LSP integration means the agent can resolve imports, jump to definitions, and reason about your codebase with the same context an IDE has. This significantly improves accuracy on large or polyglot projects compared to agents that only see raw text.

Who is OpenCode best suited for?+

OpenCode is best suited for experienced developers, platform teams, and organizations with privacy or compliance requirements that prevent them from using closed-source SaaS coding assistants. It particularly shines for terminal-first developers, those already paying for LLM API access who want to avoid double-charging via per-seat subscriptions, and teams who need to audit or customize their tooling. Beginners or developers who want a polished, zero-config experience may prefer Cursor or GitHub Copilot.
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What's New in 2026

In early 2026, OpenCode added support for the latest model releases including Claude 4 Sonnet, GPT-4o, and Gemini 2.5 Pro. The project has continued to expand its provider integrations through OpenRouter and LiteLLM aggregators, improved multi-session stability, and refined the desktop application experience. The LSP integration received updates for better cross-language support, and the community has grown with increased contributions to the open source repository on GitHub.

Alternatives to OpenCode

Claude Code

AI Agent Builders

Terminal-based AI coding assistant from Anthropic that can analyze entire codebases, autonomously create and edit files, optimize refactoring workflows, and automate pull request reviews using Claude's advanced reasoning models with plans starting at $20/month or pay-per-token API access.

Cursor

AI Agent Builders

AI-native code editor (VS Code fork) with Tab autocomplete, Agent mode, and Composer multi-file edits. Used by 1M+ developers and 53% of Fortune 500 companies as of 2025. Free tier includes 2,000 completions; Pro is $20/month.

Aider

Coding Agents

AI pair programming tool that works in your terminal, editing code files directly with sophisticated version control integration.

Cline

AI Agent Builders

An open-source autonomous AI coding assistant for VS Code with Plan/Act modes, terminal execution, file editing, and Model Context Protocol for custom tools.

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