agno-agi / agno

A full-stack agent platform framework that combines a build SDK, production runtime with 50+ API endpoints, and a management web UI to own your entire agent stack.

正常维护 Apache 2.0 Python Tracked
42.9k 6.2k 52 分钟前
CI
developer-tools python agents ai ai-agents

星标趋势

数据积累中,暂无足够数据生成趋势图

AI 分析

项目摘要

Agno is a Python framework and runtime for building, running, and managing AI agent platforms. It provides an SDK for building agents, an AgentOS runtime for serving them as APIs with 50+ endpoints, and a web UI for platform management, featuring 100+ integrations, JWT-based RBAC, and storage for sessions, memory, and traces.

为什么值得关注

With 42,500+ stars and 589 contributors, Agno stands out by offering a complete agent platform rather than just a library — combining a build-time SDK, a production runtime with REST API and WebSocket support, and a management UI. Its 70 releases in 6 months demonstrate exceptional development velocity, and its multi-cloud deployment templates (Railway, AWS, GCP, Azure, Fly, Modal, Render, Helm) make it highly accessible.

优势

  • Full-stack agent platform with SDK, runtime, and management UI
  • 100+ pre-built integrations (GitHub, Slack, Postgres, etc.)
  • Production API with 50+ endpoints, SSE, and WebSocket support
  • Exceptional development velocity with 70 releases in 6 months
  • Multi-cloud deployment templates for easy infrastructure setup

局限性

  • No automated tests detected despite production-oriented claims
  • High open issue count (845) suggests stability or maintenance concerns
  • Crowded competitive space with established alternatives like LangChain and CrewAI

使用场景

  • Building and deploying AI agent platforms as REST APIs
  • Creating multi-agent systems with shared memory and storage
  • Enterprise agent deployments requiring RBAC and data ownership
  • Rapid prototyping of agent applications with pre-built toolkits
目标用户: Python developers and teams building production AI agent platforms who want to own their infrastructure with control over data, memory, and security posture
学习曲线: 中
分析模型:LongCat-2.0 | 分析时间:23 天前