--- title: "agno" type: "tool" slug: "agno-agi-agno" canonical_url: "https://www.graphcanon.com/tools/agno-agi-agno" github_url: "https://github.com/agno-agi/agno" homepage_url: "https://docs.agno.com" stars: 41038 forks: 5603 primary_language: "Python" license: "Apache-2.0" categories: ["ai-agents", "developer-tools"] tags: ["agents", "python", "ai-agents"] updated_at: "2026-07-07T18:18:45.340027+00:00" --- # agno > Build, run, and manage agent platforms Agno is an SDK designed to facilitate the creation, deployment, and management of AI agents through a control plane interface. ## Facts - Repository: https://github.com/agno-agi/agno - Homepage: https://docs.agno.com - Stars: 41,038 · Forks: 5,603 · Open issues: 1,002 · Watchers: 236 - Primary language: Python - License: Apache-2.0 - Last pushed: 2026-07-07T17:24:22+00:00 ## Categories - [AI Agents](/categories/ai-agents.md) - [Developer Tools](/categories/developer-tools.md) ## Tags agents, python, ai-agents ## Related tools - [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system (★ 226,962) - [hermes-agent](/tools/nousresearch-hermes-agent.md) - The self-improving AI agent built by Nous Research (★ 210,880) - [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT: Build, Deploy, and Run AI Agents (★ 185,417) - [ollama](/tools/ollama-ollama.md) - Get up and running with Kimi-K2.6, GLM-5.1, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models. (★ 175,659) - [prompts.chat](/tools/f-prompts-chat.md) - The world's largest open-source prompt library for AI (★ 165,019) - [JavaGuide](/tools/snailclimb-javaguide.md) - Snailclimb/JavaGuide: 面试 & 后端通用面试指南，覆盖计算机基础、数据库、分布式、高并发、系统设计与 AI 应用开发 (★ 156,863) - [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful platform for building and deploying AI-powered agents and workflows. (★ 151,298) - [dify](/tools/langgenius-dify.md) - Production-ready platform for agentic workflow development (★ 148,070) ## README (excerpt) ```text
Agno

Build, run, and manage agent platforms.

## Introduction Agno is an SDK for building agent platforms. - Build agents using any agent framework. - Run them as production services with tracing, scheduling, and RBAC. - Manage using a single control plane. Agno allows you to own your agent stack. Maintain control of your data, context, tools, permissions, memory and human-review loops. Run your platform in your cloud, and manage it using a beautiful UI. demo-os ## What you can build Agno can bring any agent to life, here are some examples: - [Coda →](https://docs.agno.com/tutorials/coda/overview) A code companion that lives in Slack and works alongside your team. - [Dash →](https://docs.agno.com/tutorials/dash/overview) A self-learning data agent that grounds answers in 6 layers of context. - [Scout →](https://docs.agno.com/tutorials/scout/overview) A context agent that navigates Slack and Google Drive to answer questions. - [Auto Improving Agent Platform →](https://docs.agno.com/tutorials/starter/overview) Build your own agent platform with an auto-improvement loop. ## Get started - [Read the docs](https://docs.agno.com) - [Build your first agent in 20 lines of code.](https://docs.agno.com/first-agent) - [Build an auto-improving agent platform managed entirely by claude code.](https://docs.agno.com/tutorials/starter/overview) ## Features - [Production API](https://docs.agno.com/runtime/serve-as-api). 50+ endpoints with SSE and websockets to build a product on top. - [Storage](https://docs.agno.com/runtime/storage). Store sessions, memory, knowledge, and traces in your own database. - [100+ integrations](https://docs.agno.com/tools/toolkits/overview). Integrate with 100+ tools using pre-built toolkits. - [Context Providers](https://docs.agno.com/runtime/context). Access live data from Slack, Drive, wikis, MCP, and custom sources. - [Human approval](https://docs.agno.com/runtime/human-approval). Pause runs for user confirmation. Block tools that require admin approval. - [Observability](https://docs.agno.com/runtime/observability). Get monitoring via OpenTelemetry tracing, run history, and audit logs out of the box. - [Security](https://docs.agno.com/runtime/security-and-auth). Get JWT-based RBAC and multi-user, multi-tenant isolation out of the box. - [Interfaces](https://docs.agno.com/runtime/interfaces). Expose your agents via Slack, Telegram, WhatsApp, Discord, AG-UI, A2A. - [Scheduling](https://docs.agno.com/runtime/scheduling). Cron-based scheduling and background jobs with no external infrastructure. - [Deploy anywhere](https://docs.agno.com/runtime/deploy). Run on any cloud platform that runs containers. Docker, Railway, AWS, GCP. ## Use Agno with your coding agent Two options: 1. Add Agno docs as an indexed source. In Cursor: Settings → Indexing & Docs → Add `https://docs.agno.com/llms-full.txt`. Also works in VSCode, Windsurf, and similar tools. 2. Add Agno docs as an MCP server. Add [docs.agno.com/mcp](https://docs.agno.com/mcp) to your favourite coding agent. Read the full guide [here](https://docs.agno.com/coding-agents). ## Community - [X](https://x.com/AgnoAgi): follow for releases and demos - [Newsletter](https://www.agno.com/the-agno-loop-newsletter): monthly updates on what's shipping ## Contributing See the [contributing guide](https://github.com/agno-agi/agno/blob/main/CONTRIBUTING.md) ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/agno-agi-agno`](/api/graphcanon/tools/agno-agi-agno) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_