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Daemo AI - Connect LLMs to your data sources safely

Introduction

Daemo AI allows developers to easily and safely connect Large Language Models (LLMs) to various data sources (i.e. APIs and databases such as MongoDB, Supabase, or SQL).

Most AI agents today are glorified chatbots: they are unpredictable, black-box systems that hallucinate. They work fine for "chatting with a PDF," but they fall apart when you need to do work.

Daemo is different. It is a Deterministic Runtime that turns natural language (e.g., "Schedule repair for Truck #4") into hard-coded, type-safe execution (e.g., RepairService.Schedule(4)).

It acts as a Safety Airlock between the chaotic LLM and your production database, ensuring the AI never hallucinates an action you didn't explicitly allow.

User
E.g. Inspector / Engineer / Admin / Employee
↓
Daemo Agent Layer
Guardrails + Role-based Access Control (RBAC)
↓
SQL Server / MongoDB / Supabase / APIs / Internal Systems

Why Daemo?​

Say you want to build an agent that can "talk" to your existing structured data. How do you do it without exposing your database, bypassing your security rules, or spending months on custom integrations?

Most developers end up duct-taping an LLM to a vector database and hoping for the best. It works for demos—until it doesn't.

Daemo helps you replace "hope" with guarantees. Daemo is for teams that need an AI that can interact with their data safely, predictably, and deterministically—not a black-box chatbot.

Daemo AI is built around the following 10 principles:

  1. Safety Airlock: The Daemo Engine forces a "Two-Phase" process (Plan → Execute). The AI cannot hallucinate an action without passing through our validation layer first.

  2. Deterministic Execution: The Daemo Engine synthesizes Verifiable Execution Plans. If the plan violates your strict schema definitions, Daemo rejects it before it ever runs.

  3. Context Injection: Daemo solves the "Prompt Injection" problem by injecting User IDs directly from the Auth token into the function. The AI cannot be tricked into thinking it's an admin.

  4. Air-Gapped Data: The AI never touches your database directly. Daemo runs in a strictly sandboxed execution environment. It interacts only through a strict API layer, inheriting existing business logic and security. This means your database credentials and raw tables are never exposed to the LLM (e.g. Anthropic, OpenAI, Google, etc.).

  5. Self-Correction: If a function call fails, Daemo can adapt, retry with different parameters, or gracefully handle the error—up to 20 reasoning steps.

  6. Audit Everything: Every prompt, every function call, every result is logged and traceable.

  7. LLM Provider Agnostic: Switch between OpenAI, Anthropic, or Gemini without changing your code. BYOK (Bring Your Own Key) supported.

  8. Off-The-Shelf: Daemo drops into your existing architecture. No new workflows, no lengthy "training." Just add the SDK to your existing monolith or microservice.

  9. Works with Legacy Code: We support .NET Framework and Node.js natively. Daemo's Reverse Gateway architecture means you can modernize a 15-year-old .NET monolith without rewriting it.

  10. No Inbound Ports: Daemo connects to on-premise servers and localhost without opening firewall ports or using VPNs.

Get Started​

Ready to give your code a voice?

Quickstart: Node.js

Build your first agent in under 5 minutes with TypeScript.

Quickstart: .NET

Modernize your legacy C# app securely.