ttoss/soat

SOAT — Infrastructure for production-ready AI agents

<p align="center"> <img src="./packages/website/static/img/soat-architecture.png" alt="SOAT Architecture" width="100%"> </p>

SOAT is open-source infrastructure for building AI applications. One self-hostable Node.js server gives you IAM, file and document storage with vector search, conversational memory, agent orchestration, multi-agent workflows, retrieval-augmented generation, declarative stack deployment, and a full Model Context Protocol server — backed by PostgreSQL.

You bring the product. SOAT handles the infrastructure layer.

Why SOAT?

Shipping AI applications means rebuilding the same infrastructure on every project: users, API keys, encrypted secrets, file storage, embeddings, conversation history, agent tool calling, traces, observability. SOAT solves all of it once and exposes it through four equivalent surfaces — REST, MCP, CLI, and TypeScript SDK — so the same operation runs the same way whether you call it from a backend, Claude Desktop, a CI script, or your own UI.

Highlights

• Identity & access — users, projects, JWTs, project keys, personal API keys, and reusable IAM policy documents enforced consistently on every surface.
• Files, documents, memories & knowledge — pgvector-backed semantic search across documents and memory entries, with memory containers that keep durable context for agents. See Files, Documents, Memories, and Knowledge.
• Agents that actually do things — tool-calling reason