OpenCode is an open source coding agent built for developers who want fast AI assistance without giving up deployment control. It runs in the terminal, desktop clients, and IDE integrations, so teams can keep one workflow across local experiments and shared repository tasks. The project is MIT licensed and self-hostable, which makes it practical for teams that need clear data boundaries or internal compliance controls.
For daily use, OpenCode works well when you need multi-step coding sessions instead of single prompt completions. You can use it to refactor modules, generate tests, and review pull-request context while keeping chat history connected to the codebase. Compared with closed assistants such as GitHub Copilot and Claude Code, OpenCode gives teams more control over hosting, model routing, and rollout timing.
Key Features
- Multi-session workflows for parallel coding tasks in the same repository.
- Model-provider flexibility, including local and hosted LLM endpoints.
- Shareable session links for peer review and debugging handoffs.
- Desktop and terminal interfaces backed by the same agent behavior.
- Open source codebase with active community contribution.
Self-Hosting
Deploy OpenCode on your own infrastructure using the documented repository setup and standard Node tooling. Most teams can start with a single service deployment, then add environment-level controls for model keys, audit logs, and network policy.
License
MIT License. This lets teams fork, modify, and run OpenCode in commercial environments without copyleft obligations.
Best For
OpenCode is best for engineering teams that want agent-style coding support with direct control over runtime, updates, and data flow. It is a strong fit for startups and platform teams that need a practical open source alternative to managed coding assistants.
