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Agno: Deploy AI Agents as a Service in Minutes
Agno is a framework and runtime for building and running agent platforms. A single Claude Code prompt sets up a complete service with database, MCP server, web UI, and connections to Telegram, Slack, or WhatsApp.
Agno is a framework and runtime for agent platforms, built by the Agno team and maintained for four years with 42,000 stars on GitHub. The idea is to let you focus on the agent itself rather than the infrastructure around it. A single Claude Code prompt sets up a complete service: a database for memory and traces, an MCP server, a web management UI, and a production API with 50+ endpoints. The agent immediately connects to Telegram, WhatsApp, Slack, or Discord without additional code. Built-in scheduling, human approval gates for sensitive actions, and 100+ pre-built integrations with GitHub, Slack, Postgres, and others are included. Deploys to Railway, AWS, GCP, Azure, or any container-based host.
Why a vibe-coder should care
If you are building with AI agents and want others to access them, Agno removes several days of infrastructure setup. Your agent data and memory live in your own database, not in someone else's cloud. The bundled MCP server lets other agents and tools connect to your platform without extra setup.
How to install
Copy this and send it to your agent — Claude Code, Codex, any of them:
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. Ask me if you need any API keys or config.
Runs on a regular laptop — only Docker needed.
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