mem0 vs llmflows
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| mem0 | llmflows | |
|---|---|---|
| Tagline | Universal memory layer for AI Agents | Simple, Explicit and Transparent LLM Apps |
| Stars | 60k | 706 |
| Forks | 7.0k | 35 |
| Open issues | 497 | 19 |
| Language | Python | Python |
| License | Apache-2.0 | MIT |
| Last pushed | Jul 7, 2026 | Feb 20, 2025 |
| Categories | AI Agents, Inference & Serving | Evaluation & Observability, Inference & Serving |
mem0
Mem0 serves as a universal memory system designed specifically for AI agents. It aims to enhance the long-term memory management in applications such as chatbots and personalized AI systems.
Python
llmflows
LLMFlows is a framework that allows the creation of clear, transparent applications using large language models (LLMs), offering minimalistic abstractions for monitoring, maintenance, and debugging.
Python