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Agno vs LangGraph

A side-by-side comparison of Agno and LangGraph, two Orchestration tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Agno

Orchestration

High-performance Python framework for multi-agent systems.

View Agno

LangGraph

Orchestration

Graph-based agent orchestration. Stateful loops with checkpoints.

View LangGraph

At a glance

Feature comparison of Agno and LangGraph
AttributeAgnoLangGraph
CategoryOrchestrationOrchestration
PricingFREEFREE
LicenseOpen sourceOpen source
Deployment
PlatformsAPI, CLIAPI, CLI
Model supportModel-agnosticModel-agnostic
Vendor (differs)AgnoLangChain

The honest brief

Agno

Built for speed and scale — agents instantiate near-instantly with low memory, and ship to production via the bundled AgentOS FastAPI runtime.

  • Fast agent instantiation, low memory use
  • Multi-modal agents and agent teams
  • Bundled AgentOS production runtime
  • Model- and provider-agnostic
  • Younger than LangChain and LlamaIndex
  • Rapid changes since the Phidata rename
  • Smaller community and ecosystem

LangGraph

Durable checkpointed state-graph with human-in-the-loop — long agent runs pause and resume, unlike one-shot chains.

  • Durable checkpointed state
  • Low-level graph control
  • Debuggable long-running agents
  • Runs in production at major firms
  • Steeper learning curve
  • More boilerplate than chains
  • Tied to LangChain conventions