A Python SDK, runtime, and control plane for building and operating agent systems
Who should use this?
Owned Python agent platforms and Agents, teams, and workflows.
Who should avoid it?
Teams without operations ownership, Unmeasured multi-agent complexity
What problem does it solve?
Agno combines agents, teams, workflows, knowledge, memory, evaluation, AgentOS, and a control plane while keeping application data in buyer infrastructure, but production safety remains an engineering responsibility.
Would I recommend it?
Agno earns a shortlist for Python teams prioritizing an owned runtime and broad production scaffold. Prove multiple agents beat a simpler workflow, then harden storage, tools, identities, provider paths, and recovery.
Advisor score
Premium review framework
Agno combines agents, teams, workflows, knowledge, memory, evaluation, AgentOS, and a control plane while keeping application data in buyer infrastructure, but production safety remains an engineering responsibility.
Agno earns a shortlist for Python teams prioritizing an owned runtime and broad production scaffold. Prove multiple agents beat a simpler workflow, then harden storage, tools, identities, provider paths, and recovery.
Implement the same task as one agent, a team, and a workflow with synthetic data. Inject tool failures, malicious retrieval, timeouts, disconnects, duplicate requests, approval, and storage loss. Compare accuracy, latency, tokens, recovery, isolation, provider paths, effort, and cost.
Personal Recommendation
Agno earns a shortlist for Python teams prioritizing an owned runtime and broad production scaffold. Prove multiple agents beat a simpler workflow, then harden storage, tools, identities, provider paths, and recovery.
Try the recommendation
Open-source runtime stack
Overall Score
Editorial Review Framework
Who should use this?
Owned Python agent platforms, Agents, teams, and workflows, Buyer-controlled runtime data.
Who should avoid it?
Teams without operations ownership, Unmeasured multi-agent complexity
What problem does it solve?
Agno combines agents, teams, workflows, knowledge, memory, evaluation, AgentOS, and a control plane while keeping application data in buyer infrastructure, but production safety remains an engineering responsibility.
Would I recommend it?
Agno earns a shortlist for Python teams prioritizing an owned runtime and broad production scaffold. Prove multiple agents beat a simpler workflow, then harden storage, tools, identities, provider paths, and recovery.
Overall Score
8.0
Ease of Use
7.6
AI Quality
8.0
Features
8.4
Speed
8.0
Integrations
8.4
Value for Money
8.0
Customer Support
7.6
Learning Curve
7.4
Recommended Because…
Open-source runtime stack
Scores use a 0-10 editorial scale. The source data is maintained as 5-point review dimensions, then normalized for reader-friendly comparison.
Evaluation
Research-based
Price posture
From $150/month
Reviewed
2026-09-01
No authentic product screenshot is published for this review. DiscoverAI does not use generated interface images as product evidence.
Agno's SDK, AgentOS, and local Control Plane are free and open source. Pro is $150 monthly for one live connection and four seats; extra seats are $30 monthly and live connections $95. Enterprise adds custom support, SSO, RBAC, and a self-hosted Control Plane. Reviewed September 1, 2026.
Free plan: Yes. The open-source stack supports local building and management without an Agno subscription.
Yes. Its SDK, AgentOS, and local Control Plane are open source; models and infrastructure cost separately.
Pro is $150 monthly with one live connection and four seats; extra connections and seats are add-ons.
Agno says AgentOS data stays in the buyer's configured database; external models still receive sent content.
No. It documents support for selected external frameworks alongside native agents.
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Agno combines agents, teams, workflows, knowledge, memory, evaluation, AgentOS, and a control plane while keeping application data in buyer infrastructure, but production safety remains an engineering responsibility.
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