Last updated 06-27-2026
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Agno
Agno is an open-source Python stack for building and running multi-agent systems in production. It pairs a lightweight agent framework with AgentOS, a runtime that gives you APIs, a control plane, and governance tools so agents can move from prototype to deployed infrastructure without rebuilding the plumbing.
The framework favors pure Python over graph abstractions or chain patterns. You swap models, vector stores, and databases without rewriting core logic, and the same agent code works for sync and async execution. AgentOS adds what teams usually build themselves: 50+ API endpoints, session persistence, streaming, RBAC, human-in-the-loop approvals, and a web console for monitoring traces, memory, and knowledge.
Agno targets engineering teams shipping agent features inside their own cloud. Your AgentOS instance runs on AWS, GCP, Railway, or an airgapped environment, and usage data, logs, memory, and sessions stay in your infrastructure rather than a vendor backend.
Open-source Python framework with 20+ LLM providers behind one API
AgentOS ships 50+ endpoints for runs, sessions, memory, and traces
Multi-agent teams that plan, delegate, and share context
MCP support plus integrations for Pinecone, Slack, Notion, and S3
Runs in your cloud with JWT-based RBAC and human approval flows
Open-source framework with a free tier and no vendor lock-in on model choice.
AgentOS bundles production infrastructure teams would otherwise build over months.
Private-by-default deployment keeps logs, memory, and session data in your cloud.
Supports 20+ LLM providers, MCP, and vector databases through unified APIs.
Framework is Python-only, so non-Python teams need bindings or a separate stack.
Pro pricing adds per-seat and per-connection fees beyond the base monthly plan.
Enterprise features like custom SSO require a sales conversation rather than self-serve signup.
Is Agno free to use?
Yes. Agno offers a free open-source tier that includes the agent framework, AgentOS for local use, session monitoring, knowledge and memory management, and community support. Agno Pro at per month adds a control plane for live production AgentOS deployments.
What is AgentOS?
AgentOS is Agno production runtime for multi-agent systems. It exposes agents, teams, and workflows through APIs and MCP, includes a web control plane for monitoring and management, and provides durability, RBAC, and human-in-the-loop approval flows out of the box.
Which LLMs does Agno support?
Agno supports 20+ LLM providers through a single interface, including OpenAI, Anthropic, Google Gemini, and open-source models via Ollama. You can swap models without rewriting agent logic.
Can Agno run in my own cloud?
Yes. Agno AgentOS uses a bring-your-own-cloud model on AWS, GCP, Railway, or fully airgapped setups. Usage, logs, metrics, memory, knowledge, and session data stay in your environment.
Does Agno support multi-agent workflows?
Yes. Agno lets you compose teams of agents that collaborate, share context, and delegate tasks across multi-step workflows. The framework also supports tools, MCP connections, and guardrails for production deployments.
How much does Agno Pro cost?
Agno Pro costs per month and includes a control plane for live AgentOS, one live connection, four seats, and unlimited usage, monitoring, retention, knowledge, memories, and chats. Additional seats are per month and extra live connections are per month.