Agno
Runtime platform that turns AI agents into production services with sessions and observability.
About
Agno provides a full stack for building and operating AI agent services in production. Agents are written with its Python SDK, and the AgentOS runtime exposes them through a FastAPI-based REST API with more than 50 endpoints, server-sent events, and WebSocket support. The platform persists sessions, memory, knowledge, and audit traces in PostgreSQL, adds JWT-based role-based access control with multi-tenant isolation, and includes human-in-the-loop approval workflows for sensitive actions. Pre-built toolkits connect agents to over 100 services such as GitHub, Slack, and Postgres, and agents can be reached through Slack, Telegram, WhatsApp, and Discord. Observability comes from OpenTelemetry tracing plus a control plane UI for testing, monitoring, and managing agent systems, with cron scheduling and background jobs built in. Deployment targets include Docker, Kubernetes via Helm, AWS, GCP, Azure, Fly.io, and Modal. Open source under the Apache 2.0 license, it is aimed at teams that need agents running as durable backend services rather than notebook experiments.
Should you use Agno?
Pick it when
Pick Agno when agents must run as durable backend services for several tenants: you get a REST API, Postgres-backed sessions and audit traces, JWT role-based access, and human approval steps without building that plumbing yourself.
Look elsewhere when
It is a lot of platform for a single script or notebook experiment, since AgentOS brings its own API layer and a database to operate. For a thin in-process loop, smolagents or OpenAI Agents SDK is less to run; for explicit graph control, use LangGraph.
Alternatives to Agno
- Pydantic AI
Library only, with stricter typing and durable execution, but you build the API server, auth, and multi-tenant storage yourself.
- Letta
Deeper focus on long-term editable memory per agent; less emphasis on RBAC, prebuilt toolkits, and multi-channel deployment.
- LangGraph
Lower-level graph orchestration with explicit state and checkpoints; more control over agent loops, less built-in serving and RBAC.
- Mastra
Comparable batteries-included stack for TypeScript teams rather than Python; open core, with enterprise features under a commercial license.
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Details
- Category
- AI Agents & Orchestration
- Price
- Free
- Platform
- Hybrid
- Difficulty
- Easy (2/5)
- License
- Apache-2.0
- Added
- May 7, 2026