Pydantic AI
Build model-agnostic AI agents with typed Python
4.1
Pydantic AI is an open-source Python framework for model calls, agents, tools, structured outputs, validation, streaming, graphs, and observability.
FreeCodeAutomation
Agno Review 2026: AgentOS, Multi-Agent Systems, Pricing, and Fit
A Python SDK, runtime, and control plane for building and operating agent systems
Recently Updated
Advisor score
8.0/10
Documented editorial evaluation
The decision
Should you choose Agno?
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.
Best for
Owned Python agent platforms; Agents, teams, and workflows.
Choose something else if
Teams without operations ownership; Unmeasured multi-agent complexity
Evidence
Editorial research pending · 8.0/10
Pricing checked
From $150 · 2026-09-01
Free access is available, with limits.
Yes. The open-source stack supports local building and management without an Agno subscription.
Community choice
Recommend Agno
Loading weekly votes…
One vote per verified account per tool, counted for seven days. Return after your vote expires to support again. Community votes influence homepage trends, never editorial ratings. Voting does not subscribe you to emails.
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.
Direct verdict
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.
What to verify
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
See whether Agno belongs in your stack
Open-source runtime stack
Overall Score
8.0/10
Research Based
- Last reviewed
- Sep 1, 2026
- Last updated
- Sep 1, 2026
Editorial Review Framework
How Agno scores
Recently Updated
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 For
- Owned Python agent platforms
- Agents, teams, and workflows
- Buyer-controlled runtime data
Not Recommended For
- Teams without operations ownership
- Unmeasured multi-agent complexity
- Sensitive tools without least privilege
Recommended Because…
Open-source runtime stack
Scores use a 0-10 editorial scale: 9–10 exceptional, 8–8.9 strong, 7–7.9 capable with material tradeoffs, 6–6.9 limited fit, and below 6 not recommended. Scores publish only when a documented evaluation supports them.
Open the optional evaluation worksheet
Reusable trial worksheet
Test Agno before you commit
Turn this review’s buyer test into evidence. Your entries autosave only in this browser and are never added to shared shortlist links.
0/7 checks complete
Confirm the tool meets every must-have workflow and stakeholder requirement.
Review starting point: Owned Python agent platforms; Agents, teams, and workflows; Buyer-controlled runtime data
Run the same representative work you would use in production; do not score a polished demo.
Review starting point: Complete three to five representative tasks with known acceptable outcomes and compare them with your current process.
Calculate the effective cost per accepted result, including usage, review, corrections, and required add-ons.
Review starting point: 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.
Define an acceptance threshold, test known answers and edge cases, and record every correction.
Review starting point: Editorial quality signals: features 4.2/5; AI quality 4.0/5. Validate these signals in your own work.
Verify what data enters the product, who can access it, how long it is retained, and whether it trains models.
Review starting point: Use approved low-risk data first. Check roles, consent, deletion, subprocessors, model-training settings, and the contract—not only the marketing page.
Test the real handoffs, permissions, failure states, and export path your team depends on.
Review starting point: Python, FastAPI, MCP, OpenAI, Anthropic, LangGraph
Record training, governance, reliability, accessibility, ownership, and change-management risks before rollout.
Review starting point: Operations shift to buyer; Multi-agent systems are opaque; Pro scales with connections and seats
Loading saved worksheet… · private to this device or your optional account
Product interface evidence
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.
Pricing
Freemium
- Free access
- Yes. The open-source stack supports local building and management without an Agno subscription.
- Paid entry
- From $150
- Billing and plan model
- Open-source stack, $150 Pro, and custom Enterprise
- Material limits
- 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.
Editorial freshness
Recently checked
Pricing and material product claims were checked September 1, 2026.
Pros & Cons
Pros
- Open-source runtime stack
- Buyer-controlled data
- Broad production primitives
Cons
- Operations shift to buyer
- Multi-agent systems are opaque
- Pro scales with connections and seats
Best For
Owned Python agent platformsAgents, teams, and workflowsBuyer-controlled runtime data
Community evidence
How verified users put Agno to work
Structured, editor-moderated experience—not star ratings. This complements our independent review and never changes its score.
No approved community evidence yet. Be the first verified user to contribute.
Key Features
- Agent SDK
- Teams
- Workflows
- AgentOS
- Control Plane
- Evaluations
Integrations
- Python
- FastAPI
- MCP
- OpenAI
- Anthropic
- LangGraph
FAQs
Is Agno free?
Yes. Its SDK, AgentOS, and local Control Plane are open source; models and infrastructure cost separately.
How much is Pro?
Pro is $150 monthly with one live connection and four seats; extra connections and seats are add-ons.
Where is agent data stored?
Agno says AgentOS data stays in the buyer's configured database; external models still receive sent content.
Does AgentOS require Agno agents?
No. It documents support for selected external frameworks alongside native agents.
Keep Deciding
Where to go next
Related Reviews
Compare Alternatives
Related Guides
Pydantic AI Review 2026: Typed Agents, Evals, Pricing, and Fit
Pydantic AI brings type-safe patterns, provider flexibility, tools, graphs, durable execution, and evaluation to Python agents, but types cannot guarantee factuality, safe actions, or reliability.
Mastra Review 2026: TypeScript Agents, Pricing, Memory, and Fit
Mastra unifies TypeScript agent development with workflows, memory, retrieval, evaluation, observability, and managed deployment, but its many metered layers require careful cost attribution.
Agno Review 2026: AgentOS, Multi-Agent Systems, Pricing, and Fit
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.
Category Pages
Best AI Coding Tools
AI coding assistants ranked by real developer workflow fit, not demo magic.
Best AI Tools for Code & Development
A practical shortlist of AI tools for ai coding assistants, code generators, and developer tools.
Code & Development
AI coding assistants, code generators, and developer tools.
Material changes only
Follow Agno
Get an occasional email when something decision-relevant changes. This is separate from the weekly newsletter.
Compare alternatives
See how similar tools stack up
Mastra
An open-source TypeScript framework and platform for agents, workflows, memory, evaluation, and deployment
4.0
Mastra unifies TypeScript agent development with workflows, memory, retrieval, evaluation, observability, and managed deployment, but its many metered layers require careful cost attribution.
FreemiumCodeAutomation
Dify
A visual platform for building model-agnostic AI apps, agents, workflows, and knowledge systems
4.0
Dify combines visual AI workflows, agents, knowledge retrieval, plugins, logs, and APIs across cloud and self-hosted editions, but credit rules, licensing, provider data paths, and production governance deserve scrutiny.
FreemiumAutomationCode