Agno

Agno combines an open-source SDK and AgentOS runtime with an optional hosted control plane. Builders can create individual agents or multi-agent teams, add memory and knowledge, schedule work, inspect traces, run evaluations, and request human approvals. AgentOS turns an agent system into an API and can publish it as an MCP server for ChatGPT and Claude, while also supporting interfaces such as Slack and Discord. The vendor emphasizes ownership: runtime data and compute stay in the customer environment, and the control plane does not add metered compute, storage, retention, or egress charges. Production templates and a no-code studio help teams move from experiments to managed services.

Key capabilities include Open-source agent SDK, AgentOS production runtime, Memory, knowledge, and learnings, Tracing and evaluations, Approvals and scheduling, Hosted control plane. These are most useful for Deploy a multi-agent product backend; Operate agents in a customer cloud; Add traces and evaluations to an agent; Publish an agent for ChatGPT or Claude. A practical evaluation should start with one bounded workflow, representative production data, and clear success criteria. Teams should check output quality, failure recovery, permission boundaries, operational visibility, and the effort required to fit the tool into existing systems. For workloads that take actions or handle company data, reviewers should also validate identity controls, auditability, retention, and deployment requirements before broad rollout.

Published pricing found during this review: Free: $0/month (Unlimited usage and retention, local control plane, templates, community support, and deployment in your own environment.) Pro: $150/month (One live AgentOS connection, three team seats, basic RBAC, and support; add-ons include $30/seat, $95/live connection, and $300 for SAML SSO.) Enterprise: Custom (Advanced governance, identity, audit logs, custom RBAC, SLA, and deployment options.) Prices and included usage can change, and metered services may create additional charges beyond the base plan, so production buyers should model expected volume. MCP compatibility is a central capability here. AgentOS can expose an agent system as an MCP server for clients such as ChatGPT and Claude. Overall, Agno is best evaluated by builders and business teams that match the use cases above and can test it against a real process rather than a generic demo.

Pricing and evidence

The official pricing page confirms Free at $0 per month and Pro at $150 per month. Pro includes one live AgentOS connection, three team seats, basic RBAC, and email support. Published add-ons are $30 per additional seat, $95 per additional live connection, and $300 per month for SAML SSO. Enterprise is custom. Model, cloud, database, logging, and engineering costs remain outside the subscription because customers operate the runtime data and compute plane.

Alternatives and positioning

Agno is broader than a framework-only choice because AgentOS adds serving, control-plane visibility, approvals, scheduling, and MCP publication. That breadth benefits teams seeking one operational path, but it is not a fully hosted runtime. Compare orchestration with CrewAI, LangGraph, and Microsoft AutoGen, and compare observability with AgentOps.

Practical evaluation

Implement one real workflow with at least two tools, a failure path, a human approval, and a repeatable evaluation set. Measure task completion, incorrect tool calls, recovery after dependency failure, trace usefulness, deployment time, and total infrastructure plus model cost. Test role boundaries and verify exactly what the hosted control plane can observe. Agno fits developers who value open-source components and customer-controlled runtime data; it is excessive for a small prompt wrapper that needs no teams, scheduling, MCP, or governance.