Which is more popular, LiteLLM or Mem0?

Mem0 has more GitHub stars (66,464 vs 60,036).

Which is more actively developed, LiteLLM or Mem0?

LiteLLM had more commits in the last 90 days (13,191 vs 234).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Pick LiteLLM for: open-source Python SDK and AI gateway for calling 100+ LLMs through a unified OpenAI-compatible interface. Pick Mem0 for: universal memory layer for AI Agents.

From GitHub data refreshed daily.

Open-source Python SDK and AI gateway for calling 100+ LLMs through a unified OpenAI-compatible interface

Mem0open-source

Universal memory layer for AI Agents

+High performance with 26% accuracy improvement over OpenAI Memory and 91% faster responses
+Multi-level memory architecture supporting User, Session, and Agent-level context retention
+Developer-friendly with intuitive APIs, cross-platform SDKs, and both self-hosted and managed options

-Relatively new technology (v1.0.0 recently released) which may have evolving API stability
-Additional infrastructure complexity when implementing persistent memory storage
-Potential privacy considerations with long-term user data retention

•Customer support chatbots that remember user history and preferences across sessions
•Personal AI assistants that adapt to individual user behavior and needs over time
•Autonomous AI agents that need to maintain context and learn from ongoing interactions

Which is more popular, LiteLLM or Mem0?: Mem0 has more GitHub stars (66,464 vs 60,036).
Which is more actively developed, LiteLLM or Mem0?: LiteLLM had more commits in the last 90 days (13,191 vs 234).
Should I use LiteLLM or Mem0?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.