Agno: Agent Framework and High-Performance Runtime for Multi-Agent Systems
Agno pairs the fastest framework available with the first enterprise-ready agentic operating system, AgentOS. Build, run, and manage secure multi-agen...
Python Library
Summary
Agno is an open‑source Python framework for building multi‑agent systems that include memory, knowledge bases and reasoning capabilities. It supports many LLM providers, vector stores and multimodal inputs, offering features like agent teams, structured outputs and low‑resource performance.
Highlights
- Unified interface to 23+ model providers with no lock‑in
- Highly efficient agents (~3 µs instantiation, ~6.5 KiB memory)
- First‑class reasoning support via models, tools, or chain‑of‑thought
- Native multimodal I/O (text, image, audio, video) and built‑in agentic search across 20+ vector DBs
- Advanced multi‑agent architecture with memory, storage drivers and deterministic workflows
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Context
Audience
Developers and AI engineers building autonomous or collaborative AI systems, as well of researchers exploring agentic workflows
DomainAgentic AI Framework
Formatopen source code repository (GitHub)
Accessfree open‑source
Source Overview
Agno is an open-source, Python-based framework for building multi-agent systems with integrated memory, knowledge, and reasoning capabilities.
It supports a wide range of large language models and vector databases, enables multi-agent collaboration, and offers high performance with low resource usage. Agno provides features like built-in UI, structured outputs, advanced team-based workflows, AWS/cloud deployment, and monitoring for production-grade agentic systems.
Topics
Related
LangChainAutoGPTCrewAILLMOps toolingVector database integrations
