Agentic Index
Agno vs Pydantic AI (2026)
Both score 12.5 of 14 as Python agent frameworks and this is the closest genuine head to head in the infrastructure lane. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Pydantic AI is fully open source with strong typing and tooling, model flexibility and observability through Logfire, from a team whose validation library is already in most Python stacks. Agno, formerly Phidata, is a high performance agent runtime with multi agent support and memory, Apache 2.0 for self hosting, from a hundred and fifty dollars a month for the managed tier. Pydantic AI for type safety and a free licence; Agno for runtime performance and built in memory.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Agno and Pydantic AI are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Agno if
- Runtime performance and built in memory are what your agents actually need.
- Multi agent support in the framework rather than bolted on is the architecture you want.
- Apache 2.0 self hosting with a managed option gives you both paths.
Choose Pydantic AI if
- Free and open source with no managed tier upsell is the position you prefer.
- Type safety through Pydantic is already how your team writes Python.
- Logfire observability is a coherent story from the same team.
| At a glance | Agno | Pydantic AI |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | From $150/mo · free tier | Free / OSS |
| Free / trial | Free tier | Free (OSS self-host) |
| Pricing confidence | public partial | public exact |
| Feature | A Agno |
P Pydantic AI |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Full / Explicit | Partial |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Full / Explicit | Partial |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Full / Explicit | Full / Explicit |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Partial |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Full / Explicit |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Partial | Full / Explicit |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Full / Explicit | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Full / Explicit |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
Partial | Full / Explicit |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | A Agno |
P Pydantic AI |
|---|---|---|
|
Entry price Lowest public entry point |
From $150/mo · free tier | Free / OSS |
|
Pricing confidence How public the numbers are |
Public, partial | Public, exact |
|
Billing Primary billing axis |
flat | usage |
|
Variable cost Workload / overage exposure |
Low variable cost | Low variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Mixed | Self-serve |
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