- Agents with memory, knowledge, session management, and advanced features like human-in-the-loop, guardrails, dynamic context management and best-in-class MCP support.
- Multi-Agent Teams that operate autonomously under a team leader that maintains shared state and context. Perfect for use cases where the scope exceeds beyond a single agent.
- Step-based Workflows for controlled, deterministic execution. Steps can be Agents, Teams, or regular python functions that run sequentially, in parallel, in loops, branches, or conditionally.
Example
Here’s an example of an Agent that connects to an MCP server, manages conversation state in a database, is served using a FastAPI application that you can chat using the AgentOS UI.agno_agent.py
AgentOS - Production Runtime for Multi-Agent Systems
Building Agents is easy, running them is hard, and that’s where the AgentOS comes in. AgentOS is a high-performance runtime for serving multi-agent systems in production. Key features include:- Pre-built FastAPI app: AgentOS ships with a ready-to-use FastAPI app for running your agents, teams, and workflows. This gives you a major head start in building your AI product.
- Integrated Control Plane: The AgentOS UI connects directly to your runtime, letting you test, monitor, and manage your system in real time, giving you unmatched control over your system.
- Private by Design: AgentOS runs entirely in your cloud, ensuring complete data privacy. No data ever leaves your system. This is ideal for security-conscious enterprises.
The Complete Agentic Solution
Agno provides the complete solution for companies building agentic systems:- The fastest framework for building agents, multi-agent teams and agentic workflows.
- A ready-to-use FastAPI app that gets you building AI products on day one.
- A control plane for testing, monitoring and managing your system.