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IDES & CODING TOOLS • CURATED • UPDATED JUL 7, 2026

OpenCode

Open-source, model-agnostic terminal coding agent

OpenCode is an open-source terminal-based coding agent that connects to multiple language models and performs autonomous software engineering tasks from the command line. It edits files, runs tests, manages git workflows, and iterates on code with minimal human intervention. The v1.17.8 release from June 2026 improves tool calling reliability, multi-file refactoring, and support for local and remote model backends.

Pricing Free
Platforms mac, windows, linux, local
API No
Open Source Yes
Modalities IDEs & Coding Tools, LLMs
Best For Best for Terminal Coding
Date Added 2026-07-07

OpenCode is the best 'bring-your-own-model' coding agent for developers who want full control. Because it is open source and runs in the terminal, it fits naturally into existing CI/CD and shell-centric workflows without locking you into a specific vendor.

Install OpenCode via npm or the official installer and run `opencode` in your project directory. Configure your preferred model provider in the settings file, then describe a task in natural language. OpenCode will plan the changes, edit files, run tests, and report results. Because it is open source, you can self-host or customize the agent loop for your team's workflow.

1 Start with small, well-defined tasks to learn how the agent plans changes
2 Use a local model for sensitive codebases and remote models for heavier reasoning
3 Commit or stash work before starting a session so you can roll back easily
4 Configure custom test commands so OpenCode validates every change
5 Review the generated diff carefully before accepting multi-file edits
Google Antigravity 2.0 Claude Fable 5 NotebookLM Claude Opus 5 GPT-5.6 Sol

Refactoring a Legacy Module

Use OpenCode to safely refactor an old codebase with tests and git checkpoints.

STEPS:
  1. Open the repository in your terminal and run `opencode`
  2. Ask the agent to refactor a specific module and preserve existing behavior
  3. Review the proposed plan and approve the file changes
  4. Run the configured test suite to catch regressions
  5. Commit the changes with a descriptive message
  6. Iterate on edge cases the tests reveal

Adding a Feature from a Ticket

Turn a GitHub issue or ticket into working code using the terminal agent.

STEPS:
  1. Paste the ticket description into OpenCode as the task
  2. Let the agent explore the codebase and identify relevant files
  3. Approve the implementation plan
  4. Run tests and fix failures together with the agent
  5. Review the final diff and open a pull request
Free Completely free
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Q

Is OpenCode free?

A

Yes, OpenCode is completely free to use.

Q

Does OpenCode have an API?

A

No, OpenCode does not appear to offer a public API.

Q

What is OpenCode best for?

A

OpenCode is best for Best for Terminal Coding. OpenCode is an open-source terminal-based coding agent that connects to multiple language models and performs autonomous software engineering tasks from the command line. OpenCode is the best 'bring-your-own-model' coding agent for developers who want full control. Because it is open source and runs in the terminal, it fits naturally into existing CI/CD and shell-centric workflows without locking you into a specific vendor.

Q

What platforms does OpenCode support?

A

OpenCode supports mac, windows, linux, local.

Q

Is OpenCode open source?

A

Yes, OpenCode is open source. You can access the source code on GitHub at https://github.com/opencode-ai/opencode.

Q

How do I get started with OpenCode?

A

Install OpenCode via npm or the official installer and run `opencode` in your project directory. Configure your preferred model provider in the settings file, then describe a task in natural language. OpenCode will plan the changes, edit files, run tests, and report results. Because it is open sourc...

Q

How do I use OpenCode?

A

OpenCode is a large language model for text generation, analysis, and conversation. Use through available interfaces. Enter prompts or questions to get responses. It excels at open-source and model-agnostic by design.

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