Mem0vsPortkey

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

Mem0

AI Agent Frameworks

Memory layer for AI agents — persistent, searchable, context-aware

Full review →Website ↗

Portkey

LLM APIs & Inference

AI gateway for reliable and fast LLM applications

Full review →Website ↗
FeatureMem0Portkey
CategoryAI Agent FrameworksLLM APIs & Inference
PricingFree (open-source), hosted platform availableFree + Pro plans
GitHub Stars
✓ More stars
25k
6k
PlatformsLinux, macOS, DockerWeb, Docker
Key Features
  • ✓ Long-term memory
  • ✓ User preferences
  • ✓ Multi-level memory
  • ✓ API
  • ✓ Self-improving
  • ✓ AI gateway
  • ✓ Fallbacks
  • ✓ Load balancing
  • ✓ Caching
  • ✓ Observability
Pros
  • + Drop-in memory for any AI agent
  • + Automatic relevance scoring
  • + Works with any LLM
  • + Both local and hosted options
  • + Automatic fallbacks
  • + Load balancing
  • + Request caching
  • + Observability built-in
  • + Open-source gateway
Cons
  • − Adds complexity to agent architecture
  • − Hosted version has usage limits
  • − Added infrastructure layer
  • − Learning curve
  • − Some features need Pro
  • − Latency overhead
Tags
memoryagentspersonalizationopen-source
gatewayreliabilityobservabilityapi

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