Summary
| Foundation Year | N/A |
| Country | N/A |
| Founders | No founders listed |
| Tier | Freemium, Paid |
| Platforms | API, Web Browsers |
| AI Features | AI Agent, AI Analytics, AI and automation, AI Workflow Integration, API, Custom AI Agent Creation, Custom Model Training, Customer Support, Multi-Agent Mode, Multi-agent workflows |
| Pricing From | $150 Per Month |
| Support | Yes (Email) |
| Best Used For | AI Agent and Automation |
| Affiliate Program | No |
| White Label | No |
| API | No |
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Description
Features
- Model-agnostic
- Native multimodal support (text, images, audio, video)
- Persistent memory & storage
- Agentic RAG / knowledge-base (vector store) integration
- Multi-agent systems / teamwork / orchestration
- Tool integration (APIs, databases, automation tools)
- Built-in runtime + production deployment (AgentOS)
- Control plane / monitoring & debugging UI
- Structured I/O (typed inputs/outputs, schema validation)
- Support for workflows (sequential/parallel/conditional workflows combining agents/teams/tools)
Free Plan & Pricing
Refund Policy
5 Ratings
[N/A]
[N/A]
5app.ai Rating
[N/A]
AI Review
[4.7/5]
Agno has mostly strong web reviews. People praise it as a fast, lightweight, Python-first open-source AI agent framework with good memory, reasoning, and multi-model support. Review sites rate it very highly, and tutorials and writeups describe it as useful for developers who want simple but production-ready agent workflows.
Sources:- Youtube.com, Aiagentsdirectory.com, Martinschroder.substack.com, Ai.plainenglish.io
Our Expert's Opinion
[4.2/5]
Using Agno feels a bit like discovering a very powerful but still young toolkit. On the plus side, Agno is super fast, lightweight and gives you a lot of flexibility you can build agents that remember prior conversations or context, work with many kinds of inputs (text, images, audio, video), combine tools, and even set up multi-agent workflows. But I also noticed some drawbacks from my own expectations and general experience with similar frameworks. There is a steep responsibility on the developer: because agents can use memory, tools, and external knowledge, you need to carefully design guardrails, test thoroughly, and manage complexity otherwise things can get messy (especially for long or complex workflows). That is a common challenge with advanced agent frameworks. Also: while agility and speed are great, that sometimes means the abstractions are minimal and if you want highly customized behavior, you need to write more custom code. For a beginner or for small tasks, that can feel like overhead. Overall if you are comfortable coding, aware of risks, and need flexible, powerful agents Agno delivers a lot. But if you want a plug-and-play solution with minimal maintenance, it might feel a bit involved.
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