LangGraph
Graph-based multi-agent orchestration framework for building stateful, production-ready AI workflows.
★ 4.6
Agno
FreeLightweight Python framework for building fast, model-agnostic AI agents with memory, tools, and reasoning.
Best for: rapid prototyping of ai agents when langgraph or crewai feel over-engineered, high-frequency agent invocation workflows where startup latency matters
★★★★☆4.3720 aggregate ratings
Verified by editorial·Last updated: November 2026·How we rank
Not yet in our hand-tested rotation
Agno is in our catalog but the editorial team has not written a hands-on review yet. The verdict and scores below are auto-derived from public data (user ratings, pricing, feature coverage) rather than first-person testing.
See the 240+ tools we have hand-tested →Editor's verdict
Agno is a solid free pick, rated 4.3/5 by 720 users. Best for rapid prototyping of ai agents when langgraph or crewai feel over-engineered and high-frequency agent invocation workflows where startup latency matters. Standout: lightweight architecture - 10,000x faster agent instantiation vs LangGraph in benchmarks. Watch out: benchmarks are vendor-published - independent validation of performance claims limited. Fully free with no paid tier.
About Agno
Agno (formerly Phidata) is a lightweight Python framework for building AI agents that prioritizes performance and simplicity over framework complexity. Where LangGraph focuses on graph-based orchestration and CrewAI on structured agent teams, Agno is designed around a minimal Agent class that can be initialized in a few lines and extended with tools, memory, reasoning, and storage without framework boilerplate. Benchmark comparisons from the Agno team show agent instantiation 10,000 times faster and 50 times fewer tokens per run compared to LangGraph, which matters for production workloads with high agent invocation frequency. The framework is model-agnostic: OpenAI, Anthropic, Groq, Cohere, Ollama local models, and 20-plus LLM providers are supported through a unified interface. Agno ships built-in support for memory via PostgreSQL or SQLite, knowledge base integration via pgvector, tool libraries for web search, file I/O, database queries, and external APIs, and a reasoning layer that shows intermediate thinking before acting. The Agent Playground (available at app.agno.com) provides a UI for testing agents locally without building a frontend. Multi-agent workflows are supported via Teams - a lightweight alternative to LangGraph's graph model for structured agent collaboration patterns. Pricing is open source for the framework; Agno Cloud (hosted agent infrastructure) has a free tier and paid plans for teams that want managed execution. For Python developers who find LangGraph heavy or CrewAI too opinionated, Agno is the fastest path from idea to working agent with the smallest overhead.
Pros & Cons
Pros
- ✓Lightweight architecture - 10,000x faster agent instantiation vs LangGraph in benchmarks
- ✓Model-agnostic: supports OpenAI, Anthropic, Groq, Cohere, Ollama, and 20-plus providers
- ✓Built-in memory, knowledge base, tools, and reasoning in a minimal API surface
- ✓Agent Playground UI for testing agents without building a custom frontend
- ✓Open source MIT license with an active community and regular feature additions
Cons
- ✗Benchmarks are vendor-published - independent validation of performance claims limited
- ✗Smaller community than LangChain or CrewAI; fewer tutorials and third-party examples
- ✗Agno Cloud is early-stage compared to LangGraph Cloud for managed production execution
- ✗Multi-agent Teams feature less mature than LangGraph's graph-based orchestration
- ✗Less tooling for complex state management in long-horizon agent tasks
Best Use Cases
- →Rapid prototyping of AI agents when LangGraph or CrewAI feel over-engineered
- →High-frequency agent invocation workflows where startup latency matters
- →Model-agnostic agent development for teams that swap LLM providers frequently
- →RAG agents that combine knowledge base retrieval with tool use and memory
- →Developer tools and internal tooling where minimal infrastructure overhead is a priority
Categories
Agno Preview
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Pricing
Free$0 / forever
Pricing verified November 2026. Verify current pricing on the official site before purchase.
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External Aggregate
4.3/5720 aggregate ratings from G2, Capterra, Product Hunt
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November 2026Re-verified against the official site every 90 days
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Agno on MytheAi
Compared with Agno (1)
- Agno vs Crewai →tie
Agno (formerly Phidata) and CrewAI are both Python frameworks for building AI agents, but they prioritize different things. Agno is built for minimalism and performance: its benchmark claims show agent instantiation 10,000 times faster than LangGraph and 50 times fewer tokens per run, with a small API surface that lets developers define an agent in a few lines. CrewAI is built for multi-agent collaboration: its role-based abstraction maps intuitively to team structures, and its 30,000-plus GitHub stars reflect the largest community among Python agent frameworks. For single-agent or small-team workflows where startup latency and token efficiency matter - high-frequency production workloads, internal tooling, or developer tools - Agno's minimal overhead is a genuine advantage. For multi-agent systems where the goal is to orchestrate specialist agents with clear roles collaborating toward a shared outcome, CrewAI's role-and-goal abstraction is more natural to work with. The choice often comes down to whether you are building one focused agent or a team of specialized collaborators.
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Alternatives to Agno
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Is Agno free?▼
Yes, Agno is completely free to use with no paid tiers.
What is Agno best for?▼
Agno is best suited for: Rapid prototyping of AI agents when LangGraph or CrewAI feel over-engineered, High-frequency agent invocation workflows where startup latency matters, Model-agnostic agent development for teams that swap LLM providers frequently.
How does Agno compare to alternatives?▼
Agno holds a rating of 4.3/5 from 720 reviews. Browse our comparison pages to see detailed side-by-side breakdowns against similar tools.
Reviewed by
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Editorial Team
The MytheAi editorial team tracks and reviews AI and SaaS tools. We built MytheAi out of frustration with pay-to-rank listicles and SEO-driven directories that prioritize ad revenue over honest guidance. Hands-on testing across 620+ tools to date.
Agno Review (2026): Is It Worth It?
Agno is a free tool with a free tier available. It holds a rating of 4.3/5 based on 720 reviews.
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