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Agno vs Google ADK (2026)

Updated April 29, 2026

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Overview

Rating
10.0 / 10
Rating
10.0 / 10
Best For
Python teams building production AI agents that want first-class deployment, observability, and multi-agent support
Best For
—
Product Summary

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.

Product Summary

Google's Agent Development Kit (ADK) is a modular framework for building AI agents that integrates natively with Gemini models and Vertex AI. It supports multi-agent architectures, tool use, memory, and deployment to Google Cloud, providing an end-to-end solution for building agents in the Google ecosystem.

Starting Price
$0Per forever
Starting Price
$0Per perpetual
Free Trial
Yes
Free Trial
Yes
Free Version
Yes
Free Version
No
Website

Key features

Core capabilities each platform advertises.

AgnoAgno
  • 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
Google ADKGoogle ADK
Data not available

Strengths and tradeoffs

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

AgnoAgno

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
Google ADKGoogle ADK

Pros

  • Code-first approach enables testable, maintainable agent development
  • Comprehensive evaluation framework builds trustworthy agents
  • Modular design supports scalable multi-agent architectures
  • Open source with active community contributions

Cons

  • Optimized primarily for Google Cloud ecosystem
  • May be overly structured for simple use cases
  • Less flexibility for multi-cloud or non-Google deployments

What people are saying

AgnoAgno
DecisionCrafters reviewDecisionCrafters

Agno has emerged as one of the fastest-growing AI agent frameworks in 2026 — 39,100+ stars and a 424-contributor community.

Read full review
Google ADKGoogle ADK
Data not available

Agno or Google ADK — which should you choose?

Choose Agno 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 Google ADK if you want

Data not available

Compare Agno and Google ADK on your own traffic

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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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