Terminal, desktop, and IDE access
Use OpenCode from a terminal-based interface, desktop app, or IDE extension, depending on how you prefer to work.
OpenCode
OpenCode is an open source AI coding agent that helps developers understand codebases, plan and implement changes, and iterate on software projects. It runs through a terminal, desktop app, or IDE extension and can connect to provider accounts or local models.
OpenCode overview
OpenCode is an open source AI coding agent for working with software projects from a terminal, desktop app, or IDE extension. It connects to the language-model provider or local model you configure and can help explain code, plan changes, and implement requested work in a project.
The documented workflow starts by installing the `opencode` command, configuring a provider, opening a project, and running `/init` so OpenCode can create an `AGENTS.md` file with project structure and coding-pattern context. Users can review plans before implementation, iterate on changes, and share selected conversations when collaboration or debugging requires a reference.
Key features
Flexible model access
Configure API keys for supported providers, use local models, or connect accounts such as GitHub Copilot and ChatGPT Plus or Pro.
LSP support
OpenCode automatically loads the appropriate Language Server Protocol servers for the language model, supporting more context-aware coding work.
Multi-session projects
Run multiple agent sessions in parallel on the same project when separate tasks or investigations need to proceed at once.
Plan and Build modes
Use Plan mode to review an implementation approach before changes are made, then switch to Build mode when ready.
Project-aware workflow
Create an `AGENTS.md` project file with `/init`, reference files with fuzzy search, attach images to prompts, and undo or redo changes when needed.
Practical use cases
Understand an existing codebase
Ask OpenCode to explain unfamiliar files or authentication flows, using file references to focus the discussion on the relevant implementation.
Plan and build features
Describe a feature, review the proposed steps in Plan mode, provide feedback, and then switch to Build mode to implement the approved approach.
Make targeted code changes
Give a direct, well-scoped request for a change such as applying an existing route’s authentication logic to another route, then inspect or revise the result.
Translate design references into implementation
Use image attachments and project context to communicate a visual reference or expected behavior when planning an interface change.
Coordinate parallel work
Run separate sessions on the same project, or share a specific conversation link with teammates for debugging and review.
Pros and Cons
Pros
- Open source and available across terminal, desktop, and IDE workflows.
- Supports models from 75+ providers through Models.dev, including local models, according to the product site.
- Includes a reviewable Plan mode, project initialization, and undo/redo controls for iterative coding work.
- The home page states that OpenCode does not store users’ code or context data.
- Sessions can be run in parallel and selectively shared through generated links.
Cons
- Provider API access or an eligible connected account is needed to use a language model; the site does not present OpenCode as a standalone model service.
- The documentation recommends WSL for the best Windows experience, and notes that OpenCode 1 and OpenCode 2 installations can conflict under their default command.
FAQ
How do I get started with OpenCode?
OpenCode is available as a terminal-based interface, desktop app, and IDE extension. In the terminal, install it using the documented script or package-manager methods, configure an LLM provider, navigate to a project, run `opencode`, and use `/init` to create an `AGENTS.md` file describing the project structure and coding patterns.
Do I need a separate AI subscription?
No single extra subscription is required by OpenCode itself. You need API access for the LLM provider you choose, and OpenCode supports provider accounts, local models, GitHub Copilot, ChatGPT Plus or Pro, and OpenCode Zen.
What is the typical OpenCode workflow?
OpenCode supports planning before implementation. Plan mode disables changes while it suggests an implementation approach; you can then switch back to Build mode to apply the changes. The agent can also explain a codebase, accept file references and images in prompts, and undo or redo changes.
How does OpenCode address privacy?
OpenCode's home page states that it does not store your code or context data. For Zen, the site says models are hosted in the United States and providers follow a zero-retention policy and do not use data for model training, with stated exceptions.
Can I share an OpenCode session with my team?
OpenCode can create a shareable link to a conversation with `/share`; conversations are not shared by default. This allows a session to be referenced or reviewed by a team without making every conversation public.
Quick Facts
- Category
- Developer Tool
- Primary users
- Developers working in software projects
- Interfaces
- Terminal, desktop app, and IDE extension
- Model access
- 75+ providers through Models.dev, plus local models
- Setup
- Install the opencode command, configure a provider, then run it in a project
- Source domain
- opencode.ai
Alternativas a OpenCode
ByteAsk
ByteAsk is a terminal-first AI coding agent for C and C++ that edits repositories and verifies changes with the real compiler, debugger, sanitizers, and tests before showing a diff. It offers a free tier plus paid plans, with editor connectors and zero-retention handling described in the source.
GitBot
GitBot is a local browser-based workspace for creating reusable coding bots powered by Claude Code, Codex, or OpenCode. It helps developers run those agents across repository folders with persistent threads and configurable permissions.
Ghost
Ghost es un asistente de IA para terminal para chatear, generar código y ejecutar tareas en la línea de comandos. Incluye modelos gratuitos, es compatible con Linux, macOS y Windows, y es de código abierto.
Vi3ecode
Vi3ecode is a maintained development environment for working with AI coding agents. It keeps project context, terminal, Git, memory, flows, review, and communication connected around the agent you already use.
CreateOS Sandbox
CreateOS Sandbox is an isolated compute environment for running code and agent workloads inside Firecracker micro-VMs. It is designed for workflows that need machine-level isolation, private networking between sandboxes, and programmatic control through SDK, CLI, or MCP.
hob
hob is an independent workspace for coding agents that keeps agent sessions, terminals, history, and follow-up work organized around the tools and providers you already use. It is aimed at developers who want local control over routing, history, and workspace structure rather than a bundled model stack.