Agno vs Llama Stack (2026)
Updated April 29, 2026
Overview
Agno (formerly Phidata) is an open-source Python framework for building production-grade AI agents and multi-agent systems. 39K+ GitHub stars, 23+ LLM providers supported, 100+ pre-built tool integrations, MCP-compatible. Includes AgentOS — a stateless FastAPI runtime — and a control plane UI for monitoring.
Llama Stack is Meta's standardized API and SDK for building AI applications on top of Llama models. It provides a unified interface for inference, safety, memory, and agentic workflows — with swappable providers for local, cloud, and on-device deployment. As the official framework for the Llama ecosystem, it is becoming the default for teams building on open-source Llama models.
Key features
Core capabilities each 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 each 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
Pros
- Completely free and open-source framework with permissive licensing
- Unified APIs across multiple service providers simplify deployment
- Recent 50 percent pricing reductions make models more cost-effective
- Strong backing from Meta with partnerships across major tech companies
Cons
- Setup and configuration complexity with build failures reported
- Documentation gaps lead to import errors and confusion
- Windows compatibility issues limit platform support
- Lack of security policies may concern enterprise users
What people are saying
Agno has emerged as one of the fastest-growing AI agent frameworks in 2026 — 39,100+ stars and a 424-contributor community.
Read full reviewAgno or Llama Stack — which should you choose?
Choose Agno if you wantChoose if you want
- 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
Choose Llama Stack if you wantChoose if you want
Compare Agno and Llama Stack on your own traffic
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