Agno — Agent Frameworks Platform
Agent FrameworksLayer 3Free open-sourceWhat 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
- ✓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
Pros & Cons
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
Agno Pricing
Free trial available
- ✓Full Python SDK + AgentOS runtime
- ✓Control plane UI included
- ✓100+ tool integrations + MCP
- ✓Apache 2.0 license
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
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Last verified: April 29, 2026