MemOS
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
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MemOS vs ragflow
5 of 12 recorded facts differ. Everything below is source-reported with a capture date. Niched has not published a buyer verdict for this pair, so nothing here declares a winner. A winner only exists inside a defined buyer niche with stated constraints.
ragflow
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
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Show all 12 rows| Fact | MemOS | ragflow |
|---|---|---|
| GitHub stars | 10.5K | 86.6K |
| Forks | 966 | 10.2K |
| Open issues | 90 | 2K |
| Last commit | 2 days ago | today |
| Primary language | TypeScript | Go |
Where both compete
Both products are placed in AI agents & autonomous workflows. A category organises the market; it carries no score. See all MemOS alternatives.