Agno

// Overview

Agno (formerly Phidata) is an open-source Python SDK for building AI agents and running them in production. You define an agent with a model, a set of tools, and instructions in plain Python, then run it as a service with tracing, scheduling, and access control built in.

It is aimed at Python developers and teams who want to own their agent stack instead of relying on a hosted black box. You keep control of your data, context, tools, memory, and human-review loops, store sessions and traces in your own database, and deploy on any platform that runs containers.

As a general agent framework, Agno covers both the build step and the runtime. Beyond the core agent loop, it ships a production API, 100+ tool integrations, context providers for sources like Slack and Drive, human-approval gates, and OpenTelemetry-based observability.

// What it does

• Define agents in plain Python with a model, tools, instructions, and memory
• Run agents as a production API with 50+ endpoints, SSE, and websockets
• 100+ pre-built tool integrations plus context providers (Slack, Drive, MCP, custom)
• Human-approval gates to pause runs for confirmation and gate sensitive tools
• Built-in observability via OpenTelemetry tracing, run history, and audit logs
• Cron scheduling, background jobs, and container deploys to Docker, Railway, AWS, or GCP

// Getting started

Install Agno with a model provider, then define and run an agent in a short Python script.

uv pip install -U agno openai

export OPENAI_API_KEY=sk-...

from agno.agent import Agent

agent = Agent(
    model="openai:gpt-5.5",
    instructions="You are a helpful assistant.",
    markdown=True,
)

agent.print_response("Say hello and tell me what you can do", stream=True)

Commands and code are distilled from the project's own documentation — always check the official repo for the latest.

// When to use it

• Build a coding or data assistant that lives in Slack and answers from your own context sources
• Stand up an internal agent platform with tracing, RBAC, and human approval that runs in your own cloud
• Expose an agent to users over Slack, Telegram, WhatsApp, Discord, or A2A interfaces
• Schedule recurring agent jobs (cron and background tasks) without extra infrastructure

// How Agno compares

Agno alongside other open-source agent frameworks & builders tools AI/TLDR tracks, ranked by GitHub stars.