optillm vs mem0
A neutral, constraint-first comparison - live GitHub stats and typed relationships, not marketing.
| optillm | mem0 | |
|---|---|---|
| Tagline | OptiLLM is an OpenAI API-compatible optimizing inference proxy that enhances LLM accuracy and performance on reasoning tasks without needing to train or fine-tune models. | Universal memory layer for AI Agents |
| Stars | 4.2k | 60k |
| Forks | 368 | 7.0k |
| Open issues | 21 | 497 |
| Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Last pushed | Jul 5, 2026 | Jul 7, 2026 |
| Categories | Inference & Serving, Model Training | Inference & Serving, AI Agents |
optillm
An optimizing inference proxy for large language models (LLMs), enabling significant improvement in accuracy and efficiency at the inference stage through various techniques, which can be run as a drop-in replacement with any OpenAI-compatible API endpoint. Supports multiple providers and LLMs without requiring model training or fine-tuning.
Python
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