Agno vs Google ADK: Agent Frameworks Comparison
Compare Agno and Google ADK side by side. Both are tools in the Agent Frameworks category.
Updated April 29, 2026
The short answer
Choose Agno if production-first design with stateless scaling and AgentOS runtime.
Choose Google ADK if code-first approach enables testable, maintainable agent development.
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Quick Comparison
| Category | Agent Frameworks | Agent Frameworks |
| Pricing | Free open-source | — |
| Best For | Python teams building production AI agents that want first-class deployment, observability, and multi-agent support | — |
| Website | agno.com | google.github.io |
| Key Features |
| — |
| Use Cases |
| — |
Pros & Cons: Agno vs Google ADK
- +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
- −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
- +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
- −Optimized primarily for Google Cloud ecosystem
- −May be overly structured for simple use cases
- −Less flexibility for multi-cloud or non-Google deployments
Pricing: Agno vs Google ADK
- · Full Python SDK + AgentOS runtime
- · Control plane UI included
- · 100+ tool integrations + MCP
- · Apache 2.0 license
- · Full framework access
- · Python and TypeScript support
- · Self-hosted deployment
- · Community support
- · Gemini model access
- · Managed infrastructure
- · Enterprise support
- · SLA guarantees
What people are saying
Curated quotes from Hacker News, Reddit, Product Hunt, and review blogs. Dates shown so you can judge whether early criticism still applies.
- +
“Agno has emerged as one of the fastest-growing AI agent frameworks in 2026 — 39,100+ stars and a 424-contributor community.”
— DecisionCrafters review, DecisionCrafters · Apr 2026 - +
“Purpose-built for production with stateless scaling, session management, and enterprise features — closer to a 'framework + runtime + control plane' than just an SDK.”
— WorkOS engineering blog, WorkOS Blog · Mar 2026 - +
“Memory is stored in your database — you own the data, not the vendor. That alone made it the right call for our compliance posture.”
— Production team review, DecisionCrafters · Mar 2026 - ·
“Smaller community than LangChain at production scale — but the documentation gap is closing fast.”
— Framework comparison, AI Agents Directory · Mar 2026
When to Choose Agno vs Google ADK
- Production multi-agent systems with stateless scaling
- Customer-facing AI assistants with session management
- Internal-tool agents with monitoring dashboards
How to Choose a Agent Frameworks Tool
Key criteria to evaluate when comparing Agent Frameworks solutions:
About 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.
About Google ADK
Google's Agent Development Kit (ADK) is a flexible and modular framework launched in 2024 for developing and deploying AI agents using a code-first approach. The ADK was designed to make agent development feel more like traditional software development, enabling developers to create, deploy, and orchestrate agentic architectures ranging from simple tasks to complex multi-agent workflows. Available for both Python and TypeScript, ADK emphasizes writing clean, testable, and maintainable code rather than relying heavily on prompt engineering.
The framework's modular design enables developers to build specialized agents and compose them into hierarchical, scalable systems. ADK is not just a wrapper around language models but a comprehensive ecosystem for agent composition, workflow orchestration, behavior evaluation, and production deployment. The framework includes robust evaluation capabilities that help developers build trustworthy agents with clear feedback loops. TypeScript's type system makes data contracts between agents clear and robust, enhancing reliability in production environments.
While ADK offers deployment-agnostic capabilities that work with various hosting options, it is optimized for the Google Cloud ecosystem, particularly with Gemini models and Vertex AI. The open-source nature of ADK allows community contributions and evolution based on real-world usage. Developers appreciate ADK's structured approach, comprehensive evaluation framework, and software engineering principles, though teams working outside the Google ecosystem may find alternatives like Genkit more flexible for their needs.
What is Agent Frameworks?
Developer frameworks and SDKs for building autonomous AI agents with tool use, planning, multi-step reasoning, and orchestration capabilities.
Browse all Agent Frameworkstools →Frequently Asked Questions
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