Agent FrameworksOpen Source✦ Free Tier

Agno

Fast Python agent framework, formerly Phidata

⭐ 18,000 stars● Health 80 — ActiveApp Infrastructure
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About

High-performance Python framework for building multi-modal AI agents with memory, knowledge, and tool use. Formerly known as Phidata.

Choose Agno when…

  • •You want a fast, multi-modal agentic framework
  • •You're building agents that see, read, and reason
  • •Low-latency agent response time is critical

Builder Slot

How do your AI calls chain together?Optional for most stacks

The pipeline layer that connects LLM calls, retrieval, and data processing into a workflow

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Stack Genome Detection

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Integrates with (4)

OpenAI APILLM Infrastructure

Agno connects to OpenAI's API natively for agent reasoning, multimodal inputs, and structured tool calling.

→ GPT-4o-powered Agno agents with vision, audio, and structured function calling out of the box.

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Anthropic APILLM Infrastructure

Agno uses Anthropic's API for agent reasoning via its Claude model connector.

→ Claude-powered Agno agents with strong long-context instruction following for complex multi-step tasks.

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LiteLLMLLM Infrastructure

Agno accepts LiteLLM-proxied endpoints as model backends, giving its agents access to any provider through the gateway.

→ Model flexibility across Agno agents — route different agent roles to different models through one LiteLLM config.

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LangfuseLLM Infrastructure

Agno sends traces to Langfuse via its built-in OpenTelemetry integration.

→ Full observability on Agno agent runs — multi-step traces with per-step cost and latency breakdown.

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Pricing

✦ Free tier available

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