rtp-llm vs mem0
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| rtp-llm | mem0 | |
|---|---|---|
| Tagline | RTP-LLM: Alibaba's high-performance LLM inference engine | Universal memory layer for AI Agents |
| Stars | 1.3k | 60k |
| Forks | 227 | 7.0k |
| Open issues | 163 | 497 |
| Language | Cuda | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 7, 2026 | Jul 7, 2026 |
| Categories | Inference & Serving | AI Agents, Inference & Serving |
rtp-llm
RTP-LLM is a Large Language Model (LLM) inference acceleration engine developed by Alibaba to support diverse applications with enhanced performance and flexibility through CUDA-based optimizations, including quantization techniques and dynamic batching. It supports deployment across various hardware platforms.
Cuda
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