Agno
Build, run, and manage agent platforms. Contribute to agno-agi/agno development by creating an account on GitHub.
Agno launched on April 8, 2025 with 326 votes, #75 of 7,818 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
Agno is an open-source library for building reasoning agents that can process multiple types of input and maintain memory and knowledge across interactions. It provides native multi-modal support and includes tools for agent development. The library is designed to enable fast agent creation for developers working with artificial intelligence applications.
written from the facts on this page · September 2026
From the sources
Agno is a lightweight library for building Reasoning Agents with memory, knowledge, tools and native multi-modal support.
Agno is a framework and runtime for agent platforms. Build agents, run them as a service, manage your platform using a web UI. Agno allows you to own your agent stack. Maintain control of your data, memory, and security posture (JWT-based RBAC), and turn your agent platform into a learning loop with simulations and usage data. Help me set up my agent platform. Clone https://github.com/agno-agi/agentos-railway into a folder called agent-platform, cd in, read the README, and follow the get started guide. Your coding agent will set up your agent platform and run it locally using Docker, giving you a REST API for serving your agents, a Postgres database for storing your data and traces, an MCP…from github.com
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Agno – multi-agent framework, runtime and UI2025 · ashpreetbedi.com · ▲15The multi-agent framework, runtime, and UI built for speed.
Agno – multi-agent framework, runtime and control planeOct 2025 · agno.link · ▲9Hi HN, Excited to share Agno, a framework and runtime for multi-agent systems. Think of it as FastAPI for AI Agents. At its core is the AgentOS, a high-performance server/runtime that helps you run and manage AI agents, multi-agent teams, and step-based agentic workflows — all inside your own cloud, with full privacy and no external data sharing. What makes it different • Fast & lightweight — Agents instantiate in ~3μs and use ~6.6 KiB of memory on average (tested on M4 MacBook Pro). • Runtime architecture — Async, stateless, horizontally scalable runtime built on FastAPI. • Integrated…
Open AgentsApr 2026 · open-agents.dev · ▲161OpenAgents - The collaboration OS for AI agents. Contribute to openagents-org/openagents development by creating an account on GitHub.
Phidata – Build AI Agents with memory, knowledge, tools and reasoning2024 · github.com · ▲27Build, run, and manage agent platforms. Contribute to agno-agi/agno development by creating an account on GitHub.


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