Lettavsn8n

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

Letta

AI Agent Frameworks

Build stateful AI agents with long-term memory

Full review →Website ↗

n8n

Automation Platforms

Open-source workflow automation with built-in AI capabilities

Full review →Website ↗
FeatureLettan8n
CategoryAI Agent FrameworksAutomation Platforms
PricingFree (open-source) + CloudFree (self-hosted), cloud from $20/mo
GitHub Stars
13k
✓ More stars
52k
PlatformsLinux, macOS, DockermacOS, Linux, Windows, Docker
Key Features
  • ✓ Long-term memory
  • ✓ Stateful agents
  • ✓ Tool use
  • ✓ Multi-model
  • ✓ Self-editing memory
  • ✓ 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
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
  • + Self-hostable (full data control)
  • + 400+ integrations
  • + Visual workflow builder
  • + Native AI/LLM nodes
  • + Active community
Cons
  • − Complex memory management
  • − Performance overhead
  • − Rebranding confusion
  • − Still experimental
  • − Resource-heavy for self-hosting
  • − Learning curve for complex workflows
Tags
memorystatefulagentsopen-source
automationworkflowno-codeself-hostedintegrations

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