opencode is an open-source AI coding agent built for the terminal. It features a native TUI, multi-session support, and is model-agnostic, letting you use Claude, OpenAI, Google, or even local models.
opencode zenAI models recommended for developers by the opencode team
Launched on September 29th, 2025
opencodeYour terminal's AI agent, with any model you want
Launched on July 11th, 2025
5.0
Based on 50 reviews
Review opencode?
Reviewers describe opencode as a fast, clean terminal coding tool that stays out of the way while giving developers broad model choice, including free, hosted, and local options. Users especially like the simple setup, responsive feel, and intuitive TUI, though one notes configuration can be a bit awkward. Makers of Edgee, Replay, and Polygraph echo the same theme: it fits existing workflows, works well with open and local models, and is practical enough to build around.
Model-agnostic design is a strong differentiator, being able to swap between Claude, OpenAI, Gemini, or local models without lock-in is genuinely useful
Native TUI feels right for a terminal tool; it respects the environment it lives in rather than fighting it
Multi-session support is a practical win for developers juggling multiple contexts
Open-source means the community can audit, extend, and self-host it
What needs improvement
The tool is still relatively new, so context window management and large codebase
navigation likely need more polish
No mention of agentic loop controls (e.g., approval modes, auto-apply guardrails) trust and safety mechanisms matter a lot for an agent that writes code
Terminal-first UX limits accessibility; there's no IDE extension path mentioned, which narrows the audience
"Model-agnostic" is only as strong as the abstraction layer, if switching models silently degrades quality (e.g., tool-use inconsistencies), users may not notice until it's a problem
OpenCode is a serious alternative to Claude Code and OpenAI Codex, particularly for experienced developers who want control over their models, infrastructure and coding workflows.
Its biggest advantage is that you're not locked into one AI provider. You can use different models depending on the complexity of the task, the cost and the quality you need.
For someone building a large platform such as Formalini, that flexibility is valuable.
I’ve just tried out opencodes zen recently, it’s one of the simplest and fastest setups I’ve come across in a while, for working with LLMs in the terminal. The "TUI" feels super clean and intuitive, no fussing around, just install, configure and start using it. (waiting for its support on the Bun runtime though)