Agno ​

Agno (formerly Phidata) is an open-source Python framework for building multimodal AI agents. It processes text, images, audio, and video natively, with agent creation that benchmarks at 10,000x faster than LangGraph using 50x less memory. AgentOS provides the production runtime — observability, human-in-the-loop, monitoring — while MCP connects agents to external tool servers.

Ag
Agno
formerly Phidata · agno.com
TRANSPORT
Streamable HTTP ✓
PLATFORM
Python · Framework
MCP VIA
First-class MCP Support

Multimodal Agents Without the Overhead ​

Agno's design philosophy prioritizes speed and simplicity. No complex abstractions or verbose configurations — define an agent with a model, tools, and instructions in pure Python. The framework handles routing, multi-agent coordination, and tool execution underneath.

MCP integrates through the dedicated MCPTools utility. Point it at a server URL, and the agent auto-discovers available tools. Multi-agent teams can share MCP tools or use separate servers for role-specific access.

AgentOS takes this into production with:

  • Multimodal — text, images, audio, and video as native inputs
  • Pure Python — no DSL, no YAML, just Python classes and functions
  • Multi-agent teams — declarative composition with agent-to-agent collaboration
  • RAG — vector databases, dynamic few-shot learning, knowledge stores
  • AgentOS — observability dashboards, HITL checkpoints, monitoring
  • Model-agnostic — OpenAI, Anthropic, Google, open-source models

Python Setup ​

1. Create a Token ​

In Vinkius Cloud, go to your server → Connection Tokens → Create. Copy the URL.

2. Add MCP to Your Agent ​

python
from agno.agent import Agent
from agno.tools.mcp import MCPTools

agent = Agent(
    model="claude-sonnet-4",
    tools=[MCPTools(url="https://edge.vinkius.com/{TOKEN}/mcp")],
    instructions=["Use MCP tools for external data"]
)
agent.run("check the production server status")

3. Deploy with AgentOS ​

Package your agent for production with AgentOS observability and human-in-the-loop checkpoints.

FAQ ​

How does Agno compare to LangGraph for MCP? Agno creates agents 10,000x faster with 50x less memory. MCP tools integrate with a single import — no graph definitions or node wiring required.

Can multi-agent teams share MCP tools? Yes. Configure shared MCP tool instances across team members, or assign different MCP servers to different agents for role-based access.

What is AgentOS? The production runtime for Agno agents. It provides dashboards, observability, monitoring, and human-in-the-loop checkpoints for deployed agents.

Is Agno free? Open-source. AgentOS cloud offering has free and paid tiers.