DeepYard

Agno vs Flowise

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

Direct Answer

Agno suits teams needing open-source access, python focus, and 41,830 GitHub stars in current listing data. Flowise suits teams needing open-source access, typescript focus, and 55,384 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
F

Flowise

Build AI agents visually with drag-and-drop — 51K+ stars

OSSFree
55.4K1w ago316
MetricAgnoFlowise
GitHub Stars41.8K55.4K
Contributors444316
Last CommitAug 22, 2026Aug 13, 2026
Open Issues12761047
Licenseopen-sourceopen-source
Pricingopen-sourceopen-source
Free TierYesYes
Categoryframeworksframeworks
TrendingNoNo

Choose Agno if you need

  • Agno stands out for Python workflows that are not listed for Flowise.
  • Agno is the stronger pick when Agents matters because that capability is listed only on its profile.
  • Agno has a larger visible contributor base (444 vs 316).

Choose Flowise if you need

  • Flowise stands out for Typescript workflows that are not listed for Agno.
  • Flowise is the stronger pick when Visual Builder matters because that capability is listed only on its profile.
  • Flowise shows broader GitHub adoption with 55,384 stars versus 41,830 for Agno.

Meaningful differences

  • Workflow emphasis: Agno highlights Python, while Flowise highlights Typescript.
  • GitHub adoption: Agno shows 41,830 stars versus 55,384 for Flowise.
  • Contributor count: Agno lists 444 contributors and Flowise lists 316.

Shared capabilities

  • Rag
  • Open Source

Shared Tags

ragopen-source

Only in Agno

agent-frameworkpythonfastapimulti-agentorchestrationtool-usememoryself-hosted

Only in Flowise

visual-builderlow-codelangchainllamaindex

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.

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 Flowise

Flowise is an open-source low-code tool for building customized LLM orchestration flows and AI agents. Its drag-and-drop UI lets you connect LLMs, memory, tools, and data sources visually. Supports LangChain and LlamaIndex under the hood, with 100+ integrations. Deploy as API endpoints with one click.

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