PhidatavsFlowise

Full side-by-side comparison — features, pricing, platforms, and which one wins in 2026.

Phidata

AI Agent Frameworks

Build AI agents with memory, knowledge, and tools

Full review →Website ↗

Flowise

Automation Platforms

Drag-and-drop LLM flow builder

Full review →Website ↗
FeaturePhidataFlowise
CategoryAI Agent FrameworksAutomation Platforms
PricingFree (open-source) + CloudFree (open-source) + Cloud
GitHub Stars
15k
✓ More stars
35k
PlatformsLinux, macOS, WindowsmacOS, Linux, Windows, Docker
Key Features
  • ✓ Agent memory
  • ✓ Knowledge base
  • ✓ Tool use
  • ✓ Structured output
  • ✓ Multi-model
  • ✓ Visual flow builder
  • ✓ LangChain integration
  • ✓ Chatbot builder
  • ✓ Agent flows
  • ✓ API endpoints
  • ✓ Custom tools
Pros
  • + Clean, Pythonic API
  • + Built-in memory and knowledge
  • + Production-focused
  • + Good documentation
  • + Multi-model support
  • + No-code visual builder
  • + LangChain/LlamaIndex integration
  • + Easy deployment
  • + Good for prototyping
  • + Active community
Cons
  • − Rebranding confusion (Phidata→Agno)
  • − Smaller community than LangChain
  • − Some features require cloud
  • − Less flexible for custom setups
  • − Limited for complex custom logic
  • − Can be buggy with some nodes
  • − Documentation gaps
  • − Less flexible than code
Tags
agentsmemoryknowledgepython
open-sourceno-codelangchainchatbotvisual

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