Agno: Agent Frameworks

Founded 2023|San Francisco, CA|11-50 people|Free open-source

What is Agno?

Agno (formerly Phidata) is an open-source Python framework for building production-grade AI agents and multi-agent systems. With 39,100+ GitHub stars and an active 424-contributor community, it's emerged as one of the fastest-growing agent frameworks in 2026.

Agno provides three integrated layers: a Python SDK for building individual agents and multi-agent teams, a stateless FastAPI runtime called AgentOS for production deployment, and a control plane UI for monitoring, session management, and team operations. It supports 23+ LLM providers (OpenAI, Anthropic Claude, Google Gemini, and more) and ships 100+ pre-built tool integrations including web search, data analysis, file operations, and Model Context Protocol (MCP) servers.

Memory and knowledge systems are first-class: user memories, session memories, and RAG knowledge bases are stored in your database — you own the data, not Agno. Recent v2.5.13 (March 2026) added ReliabilityEval for agent evaluation, enhanced AgentOS APIs for session management, and Slack interface improvements. Agno is positioned as the production-first alternative to LangChain/LangGraph for Python teams.

Key features

Core capabilities this platform advertises.

23+ LLM providers (OpenAI, Anthropic, Gemini, etc.) and 100+ tool integrations
AgentOS — stateless FastAPI runtime for production deployment
Control plane UI for monitoring, sessions, and team management
Built-in memory + knowledge (RAG) stored in your database
ReliabilityEval for evaluating agent quality at scale

Strengths and tradeoffs

What this tool does well, and the limitations to keep in mind.

Pros

Production-first design with stateless scaling and AgentOS runtime
39K+ GitHub stars and 424 active contributors
100+ pre-built tools including MCP support
Control plane UI is rare in OSS agent frameworks
Memory in your DB — no vendor lock-in

Cons

Newer than LangChain ecosystem — fewer third-party integrations
Python-only — no JS/TS SDK
Smaller community than LangChain at production scale
Less battle-tested at Fortune 500 scale than LangGraph

Plans & pricing

What's included in each plan, and how the tiers compare.

Open Source

Forever

Full Python SDK + AgentOS runtime
Control plane UI included
100+ tool integrations + MCP
Apache 2.0 license

View official pricing page

Common use cases

Python teams building production AI agents that want first-class deployment, observability, and multi-agent support

Production multi-agent systems with stateless scaling
Customer-facing AI assistants with session management
Internal-tool agents with monitoring dashboards
Multi-modal agents combining vision, audio, and text
Slack-native agents for ops and engineering workflows

Using Agno with Respan

Integrate with Respan for enhanced AI workflows.

Seamless integration
Production infrastructure
Cost optimization

Run Agno in production with Respan

10KFree traces/mo

1,000+Models

5 minSetup

Respan lets you trace LLM and agent calls across any model or framework, A/B test prompts on production traffic, and route requests across 1,000+ models through one gateway.

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Best Agno alternatives & competitors

Top companies in Agent Frameworks you can use instead of Agno.

OpenClaw

Connects to 50+ channels — WhatsApp, Telegram, Slack, Discord, Signal, iMessage, Teams