LettavsDify

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 ↗

Dify

Automation Platforms

Open-source platform for building LLM applications visually

Full review →Website ↗
FeatureLettaDify
CategoryAI Agent FrameworksAutomation Platforms
PricingFree (open-source) + CloudFree + Cloud plans
GitHub Stars
13k
✓ More stars
60k
PlatformsLinux, macOS, DockermacOS, Linux, Windows, Docker
Key Features
  • ✓ Long-term memory
  • ✓ Stateful agents
  • ✓ Tool use
  • ✓ Multi-model
  • ✓ Self-editing memory
  • ✓ Visual builder
  • ✓ RAG engine
  • ✓ Agent framework
  • ✓ Workflow orchestration
  • ✓ Multi-model
  • ✓ API-first
Pros
  • + Solves long-term memory problem
  • + Self-editing memory
  • + Stateful agents
  • + Multi-model support
  • + Active research backing
  • + Beautiful visual interface
  • + Built-in RAG pipeline
  • + Prompt engineering studio
  • + Self-hostable
  • + Multi-model support
Cons
  • − Complex memory management
  • − Performance overhead
  • − Rebranding confusion
  • − Still experimental
  • − Newer platform, still maturing
  • − Can be complex to self-host
  • − Limited advanced customization
  • − Cloud pricing can add up
Tags
memorystatefulagentsopen-source
open-sourcelow-coderagagentsenterprise

Want to compare different tools?

← Back to compare picker

Related Comparisons

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