Agno

An open-source platform to build, ship and monitor agentic systems.

Freemium

Description

Agno provides an open-source framework designed for creating, deploying, and monitoring sophisticated agentic systems. It empowers users to transform any Large Language Model (LLM) into a functional agent, irrespective of the provider. The platform facilitates the integration of domain-specific knowledge bases and incorporates built-in memory for enabling long-term, personalized conversational capabilities. Furthermore, Agno allows agents to connect and interact with external systems through tools, expanding their operational scope.

The platform streamlines the development lifecycle with Agno workspaces, offering essential infrastructure components like databases and vector storage, enabling a swift transition from concept to production. Users have the flexibility to deploy their agents either on Agno's cloud infrastructure or their own (BYOC). Agno emphasizes performance and scalability, ensuring agents are lightweight and fast, capable of handling thousands of instances efficiently. It maintains technology agnosticism, supporting a wide range of databases and vector stores, promoting future-proof development without vendor lock-in.

Key Features

Open-Source Platform: Core framework for building agentic systems is open-source.
Model Agnostic: Compatible with any LLM from providers like OpenAI, Anthropic, Cohere, and open-source models via Ollama, etc.
Knowledge Integration: Allows adding domain-specific information to agents.
Built-in Memory: Enables agents to maintain long-term context in conversations.
Tool Integration: Facilitates connection and interaction with external systems and APIs.
Full-stack Workspaces: Provides necessary infrastructure (database, vector storage, API) for production readiness.
Flexible Deployment: Supports deployment to Agno's cloud or user's own cloud (BYOC).
Performance Optimized: Designed for speed and scalability, enabling thousands of concurrent agents.
Technology Agnostic: Works with various databases and vector stores (Pinecone, LanceDb, Singlestore, etc.).
Monitoring & Improvement: Offers tools to monitor agent runs, token usage, quality, and features for evaluation and optimization (Pro plan).

Use Cases

Developing custom AI agents
Building scalable agentic systems
Deploying LLM-powered applications
Creating AI agents with long-term memory
Integrating AI agents with existing tools and databases
Monitoring and optimizing AI agent performance
Building personalized conversational AI experiences

Frequently Asked Questions

Which LLMs does Agno work with?

Agno Agents can use any model from any provider, including closed models like OpenAI, Anthropic, Cohere, and open-source models via Ollama, Together, Anyscale. They commit to adding missing providers upon request.

Which database & vector stores does Agno support?

Agno works with every database and vector store, such as Pinecone, LanceDb, Singlestore, and others. They commit to adding support for missing ones upon request.

Where can I find more examples?

You can visit the Agno Example gallery for in-depth examples and code covering basic agents, function calling, structured output, fine-tuning, and evaluations.

Are there any student or startup discounts?

Yes, Agno Pro is offered free of charge for students, educators, and startups with less than $2 million in funding. You need to contact support@agno.com for the discount.