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Agno vs Langflow

Agno and Langflow are both Code Generation tools in our directory. This side-by-side comparison covers pricing, editorial scores, supported platforms, key features and open-source status so you can decide which one fits your needs.

Side-by-side comparison

AttributeAgnoLangflow
Product statusStatus not recordedStatus not recorded
VendorAgno Inc.Langflow / DataStax
Rating★ 4.6★ 4.6
PricingFreemiumFreemium
PlatformsLibrary, Cloud, Agent UISelf-host, Cloud, Desktop
Key featuresAgents, teams and workflows, REST and MCP serving, Configurable database stateVisual component flows, Editable Python components, Flow API and MCP interfaces
Headquarters——
Launched——
Open sourceYesYes

Key differences

  • Agno and Langflow carry the same editorial score (4.6★).
  • Both Agno and Langflow use a Freemium model.
  • Both Agno and Langflow are open source.
  • Agno runs on Library, Cloud, Agent UI; Langflow runs on Self-host, Cloud, Desktop.

Agno and Langflow at a glance

Agno

Agno Inc.

An agent SDK and FastAPI runtime with a separate control plane for operating agents, teams and workflows.

Rating
4.6★
Pricing
Freemium

Editorial verdict

Consider Agno when you can operate its runtime; price the management plane separately from models and infrastructure.

Strengths

  • Documented separation of SDK, runtime and control plane
  • Published runtime code license
  • Configurable state and service interfaces

Key features

  • Agents, teams and workflows
  • REST and MCP serving
  • Configurable database state
  • Local or live control-plane connections

Best for

  • Serving a configured agent API
  • Operating team workflows with persisted state
Read the full Agno review →

Langflow

Langflow / DataStax

A Python-based visual builder for AI application flows, with editable components, APIs and MCP integration.

Rating
4.6★
Pricing
Freemium

Editorial verdict

Consider it for visual prototyping and Python extension when your team can own deployment isolation and provider costs.

Strengths

  • Visual flows with editable Python components
  • Documented API and MCP integration
  • Multiple installation and deployment routes

Key features

  • Visual component flows
  • Editable Python components
  • Flow API and MCP interfaces
  • Desktop, container and self-hosted deployment

Best for

  • Prototyping an authorized retrieval or agent workflow
  • Exposing a reviewed flow through an API
Read the full Langflow review →

Feature overlap

  • The two tools have no listed features in common — see both feature lists above.
  • Agno also lists: Agents, teams and workflows, REST and MCP serving, Configurable database state, Local or live control-plane connections
  • Langflow also lists: Visual component flows, Editable Python components, Flow API and MCP interfaces, Desktop, container and self-hosted deployment

Frequently asked questions

Is Agno or Langflow better?

Agno and Langflow carry the same editorial score (4.6★), so the better choice depends on your needs — see the feature and platform comparison above.

Which is cheaper, Agno or Langflow?

Both Agno and Langflow use a Freemium pricing model.

Are Agno and Langflow open source?

Yes — both Agno and Langflow are open source.

What platforms do Agno and Langflow support?

Agno supports Library, Cloud, Agent UI; Langflow supports Self-host, Cloud, Desktop.

What are the main features of Agno and Langflow?

Agno: Agents, teams and workflows, REST and MCP serving, Configurable database state, Local or live control-plane connections. Langflow: Visual component flows, Editable Python components, Flow API and MCP interfaces, Desktop, container and self-hosted deployment.

Visit Agno →Visit Langflow →

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