DeepYard

Agno vs LangGraph

Side-by-side comparison built from DeepYard's structured catalog. Content updated Aug 21, 2026.

Direct Answer

Agno suits teams needing open-source access, agents focus, and 41,830 GitHub stars in current listing data. LangGraph suits teams needing open-source access, typescript focus, and 40,209 GitHub stars in current listing data. This summary reflects catalog metadata only for decision support, not independent testing.

What this comparison weighs

  • Pricing and free-tier availability
  • License model and deployment fit
  • GitHub adoption and contributor depth
  • Catalog tags, integrations, and supported workflows
A

Agno

Build, run, and manage agentic software at scale with 38K+ stars

OSSFree
41.8Ktoday444
L

LangGraph

LangChain's framework for building stateful agent graphs — 26K+ stars

OSSFree
40.2Ktoday278
MetricAgnoLangGraph
GitHub Stars41.8K40.2K
Contributors444278
Last CommitAug 22, 2026Aug 22, 2026
Open Issues1276708
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose Agno if you need

  • Agno is the stronger pick when Agents matters because that capability is listed only on its profile.
  • Agno shows broader GitHub adoption with 41,830 stars versus 40,209 for LangGraph.
  • Agno has a larger visible contributor base (444 vs 278).

Choose LangGraph if you need

  • LangGraph stands out for Typescript workflows that are not listed for Agno.
  • LangGraph is the stronger pick when Graph matters because that capability is listed only on its profile.
  • LangGraph is the cleaner fit if you specifically need Graph workflows from the catalog tags.

Meaningful differences

  • Workflow emphasis: Agno highlights Python, while LangGraph highlights Typescript.
  • GitHub adoption: Agno shows 41,830 stars versus 40,209 for LangGraph.
  • Contributor count: Agno lists 444 contributors and LangGraph lists 278.

Shared capabilities

  • Python
  • Multi Agent
  • Open Source
  • Human In The Loop

Shared Tags

pythonmulti-agentopen-source

Only in Agno

agent-frameworkfastapiorchestrationtool-usememoryragself-hosted

Only in LangGraph

graphstatefullangchainpersistence

Limitations and evidence

  • DeepYard compares structured public metadata; this is not an independent benchmark unless a test record is shown.
  • Signals such as stars, contributors, and last commit indicate public activity, not purchase fit or runtime quality.
  • Pricing and feature coverage reflect the stored listing snapshot and may lag vendor changes between refreshes.

Source links

Manifest content date: 2026-08-21

About Agno

Agno is a full-stack platform for agentic software comprising three layers: a Python framework for building agents and teams with memory, knowledge, and 100+ tool integrations; a production-ready FastAPI runtime with 50+ APIs, horizontal scaling, native tracing, and human-in-the-loop approval workflows; and AgentOS, a control plane UI for monitoring and managing deployed agents. Supports per-user and per-session isolation, role-based access control, guardrails, evaluations, and immutable audit trails. All data stays in your database — no vendor lock-in.

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About LangGraph

LangGraph is LangChain's framework for building stateful, multi-actor agent applications as graphs. Define agents as nodes and their interactions as edges, with built-in persistence, streaming, human-in-the-loop, and time-travel debugging. The standard for production agent orchestration in the LangChain ecosystem.

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