January 7, 2026
While everyone talks about cloud AIs, OpenCode is building a quiet revolution for enterprise environments. How to deploy the coding agent completely offline.
4 min read
In my last article about my AI workflow, I already celebrated OpenCode as the "game changer" for deep local development. It's the tool that takes over where visual builders like v0 reach their limits. But one topic keeps coming up in conversations with CTOs and Lead Devs: "How do we use such power tools without our code wandering off into the cloud?"
The answer has often been unsatisfactory: "You don't" or "Wait for the Enterprise On-Premise solution in Q4 2027".
But the landscape is changing. With OpenCode, a player enters the field that doesn't just have "Open Source" in its name but takes code sovereignty seriously.
OpenCode is primarily a Terminal-First AI Coding Agent, though it now also offers a promising desktop app (currently in beta, which I use myself). Unlike Copilot or Cursor, which primarily live as "autocomplete on steroids" in the editor, OpenCode acts like a real colleague in the command line or its own window.
You give it a task: "Refactor the Auth-Service to use JWTs instead of Sessions, and adapt all tests."
OpenCode:
This alone is impressive. But the real killer feature is its Model Agnosticism.
Let's imagine a scenario: A defense contractor or a bank. Strictest compliance. Not a single byte of code is allowed to leave the corporate infrastructure. GitHub Copilot is not an option here.
This is where OpenCode shines. Since it is open source and can talk to any LLM endpoint, we can build a completely isolated "air-gapped" solution.
We need three components:
Set up Inference Server We use Ollama as a simple example. On the server (e.g., with an NVIDIA H100 or just a strong Mac Studio):
bashollama serveollama pull deepseek-coder:33b
The server now listens on port 11434.
Configure OpenCode On the developer laptop, we install OpenCode:
bashcurl -fsSL https://opencode.ai/install | bash
Instead of logging in to Anthropic or OpenAI, we configure the local endpoint in ~/.opencode/config.json:
json{"models": [{"name": "company-internal-model","provider": "openai-compatible","apiBase": "http://internal-ai-server:11434/v1","apiKey": "not-needed","contextWindow": 32000}]}
Get Started
bashopencode --model company-internal-model
For the developer, it feels like magic. They have an intelligent agent that knows their code, refactors, and explains.
For the security department, it's a dream:
OpenCode also offers an Enterprise Version for larger teams. This adds things admins love:
The time when we had to decide between "good AI" (Cloud) and "secure AI" (dumb & local) is over. OpenCode proves that modern agentic workflows are possible even in the most secure environments.
Anyone still using security concerns as an excuse not to use AI has lost their last argument with OpenCode.
