Supergato lets your team build, configure, and deploy specialized AI assistants—with RAG, tool calling, workflows, and embeddable widgets—under your own brand, without fragmenting your stack.
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Stop stitching together wrappers. Supergato gives you a unified control plane from config to deployment—white-labeled as your product.
Generic (tool calling) and Agentic (advanced reasoning with sub-agent delegation). 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, allowed-rights gating, and usage tracking. Enterprise-grade access control without the enterprise overhead.
The sg-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, under your brand.
The sg-cli speaks JSON, has semantic exit codes, and integrates cleanly into any AI automation pipeline.
No lock-in. Standard open-source infrastructure, self-hostable via Docker.