Universal autonomous agent framework with ReAct loop, multi-provider LLM routing, reasoning graph, and MCP integration, domain-agnostic for building specialized AI agents.

Omnigent

The universal scaffold for building autonomous AI agents.

Build any AI agent — security, code analysis, DevOps, compliance, research — on a production-proven foundation. Extracted from a real-world agent with 17k+ LOC and 320 tests.

Architecture · Examples · Contributing

What is Omnigent?

Most AI agent frameworks give you wrappers around LLM APIs. Omnigent gives you the entire brain.

It's the domain-agnostic architecture of a production autonomous agent — the ReAct loop, multi-provider LLM routing, structured memory, hierarchical planning, reasoning graphs, error recovery, reflection, and plugin system. Everything you need to build a real agent, not a chatbot with tools.

You bring the domain. Omnigent brings the intelligence.

┌──────────────────────────────────────────────────────┐
│                   Agent Loop (ReAct)                 │
│         Reason → Act → Observe → Reflect             │
├──────────────┬────────────┬────────────┬─────────────┤
│   Router     │  Planner   │  Context   │   Graph     │
│  4 Providers │  Phases    │  Smart Trim│  Reasoning  │
├──────────────┴────────────┴────────────┴─────────────┤
│            Post-Processing Pipeline                  │
│    Extractors → Reflection → Error Recovery          │
├──────────────────────────────────────────────────────┤
│            Tool Registry + Plugin System             │
├──────────────────────────────────────────────────────┤
│  State │ DomainProfile │ Session │ Cost │ Knowledge  │
├─────