Phidatavsn8n

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 ↗

n8n

Automation Platforms

Open-source workflow automation with built-in AI capabilities

Full review →Website ↗
FeaturePhidatan8n
CategoryAI Agent FrameworksAutomation Platforms
PricingFree (open-source) + CloudFree (self-hosted), cloud from $20/mo
GitHub Stars
15k
✓ More stars
52k
PlatformsLinux, macOS, WindowsmacOS, Linux, Windows, Docker
Key Features
  • ✓ Agent memory
  • ✓ Knowledge base
  • ✓ Tool use
  • ✓ Structured output
  • ✓ Multi-model
  • ✓ 400+ integrations (APIs, databases, SaaS)
  • ✓ Native AI nodes (LLM, vector store, RAG chains)
  • ✓ Visual drag-and-drop workflow builder
  • ✓ Self-hostable via Docker (full data control)
  • ✓ Webhook triggers, cron schedules, event-driven
  • ✓ JavaScript/Python code nodes for custom logic
  • ✓ Credential management and encryption
  • ✓ Active community (52K+ GitHub stars)
Pros
  • + Clean, Pythonic API
  • + Built-in memory and knowledge
  • + Production-focused
  • + Good documentation
  • + Multi-model support
  • + Self-hostable (full data control)
  • + 400+ integrations
  • + Visual workflow builder
  • + Native AI/LLM nodes
  • + Active community
Cons
  • − Rebranding confusion (Phidata→Agno)
  • − Smaller community than LangChain
  • − Some features require cloud
  • − Less flexible for custom setups
  • − Resource-heavy for self-hosting
  • − Learning curve for complex workflows
Tags
agentsmemoryknowledgepython
automationworkflowno-codeself-hostedintegrations

Want to compare different tools?

← Back to compare picker

Related Comparisons

Phidata vs OpenClaw →n8n vs OpenClaw →Phidata vs OpenHands →n8n vs OpenHands →Phidata vs Microsoft AutoGen →n8n vs Microsoft AutoGen →Phidata vs AutoGPT →n8n vs AutoGPT →Phidata vs LangChain →n8n vs LangChain →Phidata vs Dify →n8n vs Dify →