It is an open-source platform designed to build, ship, and monitor agentic systems, enabling developers to create high-performance AI agents with memory, knowledge, and tools.
It is an open-source platform designed to build, ship, and monitor agentic systems, enabling developers to create high-performance AI agents with memory, knowledge, and tools. Agno provides a comprehensive environment for developing agentic systems, offering seamless integration with databases, vector storage, APIs, and more. Its workspaces allow users to go from concept to production in minutes, streamlining the development process.
Agno is model-agnostic, supporting any model from any provider, including closed models like OpenAI, Anthropic, and Cohere, as well as open-source models via platforms like Ollama, Together, and Anyscale. If a specific model or provider is missing, Agno commits to adding it within a week upon request. Similarly, it integrates with every major database and vector store on the market, such as Pinecone, LanceDB, and SingleStore, with the same promise to add any missing options within a week.
The platform includes an Example Gallery featuring in-depth examples and code for various use cases, ranging from basic agents and function calling to advanced fine-tuning and evaluations. Users can request specific examples, and Agno will add them to the gallery. Additionally, Agno Pro is offered free of charge to students, educators, and startups with less than $2 million in funding, with discounts available upon request.
Agno enhances the capabilities of large language models (LLMs) by incorporating memory, knowledge, and tools, enabling developers to build smarter and more efficient AI products. It is designed for performance and scalability, ensuring that agentic systems can handle demanding workloads. The platform is future-proof, model-agnostic, and optimized for speed, making it a versatile choice for developers aiming to stay ahead in AI innovation. Users can start building their agents today by visiting Agno’s website or GitHub repository.
"It is a fast and lightweight framework designed for creating decentralized agents with ease. The uAgents library, developed by Fetch.ai, enables the creation of autonomous AI agents in Python using simple and expressive decorators.
It is an experimental autonomous agent called ReactAgent that uses the GPT-4 language model to generate and compose React components from user stories.
It is a TypeScript library designed to create and orchestrate AI Agents, enabling developers to build, test, and deploy reliable AI applications at scale.
It is a comprehensive platform designed to enable developers to build, deploy, and scale production-ready AI agents quickly and securely using their own data.
It is a description of Oraczen, a company that provides AI solutions designed to empower enterprises by addressing inefficiencies in traditional monolith systems.
It is an AI-powered platform designed to streamline the software development lifecycle (SDLC) by automating repetitive tasks and enhancing engineering team productivity.
It is an AI-powered suite of tools designed to enhance software development workflows by integrating intelligent features across the entire software development lifecycle.
It is a serverless platform designed to provide AI virtual workstations, enabling developers to build and deploy AI agents capable of performing tasks typically done on a laptop.
It is a multi-agent system for AI-driven software development that combines Large Language Models (LLMs) with DevOps tools to convert natural language requirements into working software.
It is an experimental open-source project called Multi-GPT, designed to make GPT-4 fully autonomous by enabling multiple specialized AI agents, referred to as "expertGPTs," to collaborate on tasks.
It is a platform that automates the entire customer security review process, from securely sharing documents to generating instant, highly accurate answers to security questionnaires and RFPs.
It is a platform called AgentCoin.TV, also referred to as Agentcoin TV, where Streaming Agents engage in activities such as trading cryptocurrencies, playing games, and sharing bold or provocative opinions, often referred to as "hot takes." The platform serves as a space for individuals to interact, entertain, and participate in crypto-related activities while streaming their experiences.
It is an AI-powered customer support and sales platform designed to scale businesses by automating complex tasks across multiple languages and communication channels, including text and voice, with enterprise-grade security.
It is an AI-powered marketing agent designed to monitor, analyze, and create content based on real-time audience conversations and competitor activities across platforms like Reddit, LinkedIn, Twitter (X), and podcasts.
It is a conversational and predictive AI platform designed to enhance the digital experiences of Talent and support HR in achieving growth and sustainable Human Capital Management (HCM).
