Supergato lets your team build, configure, and deploy specialized AI assistants—with RAG, tool calling, workflows, and embeddable widgets—without fragmenting your stack.
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Stop stitching together wrappers. Supergato gives you a unified control plane from config to deployment.
Generic (tool calling), Agentic (advanced reasoning), and Fast RAG. Pick per assistant—not per product.
Sync any datasource—CSVs, docs, databases—into Pinecone vector search. Assistants answer from your knowledge base instantly.
Code execution, DB queries, web search, sub-agents, workflows, MCP gateway. Agents that can actually do things.
Drop a widget into any site with a publishable key. Your assistant, your brand, zero backend changes needed.
Organizations, roles, blacklists, and usage tracking. Enterprise-grade access control without the enterprise overhead.
The ma-cli speaks JSON, has semantic exit codes, and integrates cleanly into any AI automation pipeline.
Real use cases, not demos
Deploy a support assistant trained on your docs. It escalates when needed, logs sessions, and gets smarter as your knowledge base grows.
Connect runbooks, wikis, and Slack history. Engineers ask natural language questions and get precise, sourced answers.
Agents that trigger actions—DB writes, API calls, sub-agent chains—all configured in the dashboard without custom code.
Expose assistants as OpenAPI endpoints or embeddable widgets. Ship your own AI product on top of Supergato in days.
Real feedback from teams running multi-agent setups
Supergato cut our time-to-deploy for new AI assistants from weeks to hours. The multi-engine approach is a game changer.
We run 12 different assistants for different departments. Supergato's unified dashboard makes it actually manageable.
The RAG pipeline just works. We pointed it at our docs and within a day we had a support assistant answering 80% of tickets.
No lock-in. Standard open-source infrastructure, self-hostable via Docker.
30 minutes. Live walkthrough. We'll configure an assistant for your team on the call.
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