Diana is a Deep Agent CLI built for programming. It doesn't lock you into a single A.I. provider — it gives you all of them, orchestrated from a single command line, so you always use the best model for the job.
You know chatbots — you ask, they answer. A Deep Agent goes further. It doesn't just reply. It thinks, plans, executes, and iterates — autonomously. It reads your code, understands your architecture, runs commands, fixes errors, and delivers results. Not a suggestion. A solution.
Think of it this way: a chatbot is a consultant who gives advice. A Deep Agent is an engineer who sits down, opens the codebase, and does the work.
It reads your entire project — files, structure, dependencies — before making a single decision.
It breaks your request into steps, considers trade-offs, and architects a solution before writing any code.
It writes code, creates files, runs tests, and fixes its own mistakes — without you babysitting.
When something breaks, it doesn't stop. It reads the error, adjusts its approach, and tries again.
Not every model is the best at everything. Claude is exceptional at code. Google generates stunning images. GPT excels at structured planning. Why choose one when you can have all of them?
Diana is LLM agnostic — it routes each task to the model that does it best. You don't configure anything. You just work. Diana handles the orchestration transparently, behind the scenes.
Most A.I. tools tie you to one provider. If that provider raises prices, degrades quality, or shuts down a model — you're stuck. Diana eliminates that risk entirely.
Diana is the harness that makes the world's A.I. available for programming, regardless of provider. Switch models with zero friction. Your workflow stays the same. Your productivity never depends on a single company's roadmap.
Diana is fully compatible with MCP — the Model Context Protocol.
Think of MCP as a universal adapter. Just like USB-C lets you plug any device into any port, MCP lets A.I. agents plug into any tool — your database, your API, GitHub, Slack, Jira, your internal systems. One standard. Every connection.
Without MCP, every integration is custom-built. With MCP, you connect once and every A.I. model Diana uses can access that tool. It's the difference between wiring every appliance directly to the power plant — and just having a wall outlet.
It creates a shared language between A.I. agents and external tools. The agent says "read this file" or "query this database" — MCP translates that into the right API call, no custom code required.
Standard ProtocolWithout MCP, your agent is isolated — it can only talk and think. With MCP, it can act: read databases, push code, send messages, trigger deploys. MCP turns A.I. from a brain into hands.
Actionable A.I.Diana speaks MCP natively. Connect any MCP server — community-built or your own — and Diana's agents can use those tools immediately. Your infrastructure, your rules, Diana's intelligence.
Plug & PlayDiana is the harness that makes the world's A.I. available for programming. No lock-in. No compromise. Just the right model, every time.