MemOS
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
Visit ↗Head to head
MemOS vs pyspur
4 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.
pyspur
A visual playground for agentic workflows: Iterate over your agents 10x faster
Visit ↗Every recorded fact
Show differences only| Fact | MemOS | pyspur |
|---|---|---|
| Official SDK installs, 30 days | Not recorded | Not recorded |
| SDK evidence captured | Not recorded | Not recorded |
| GitHub stars | 10.5K | 5.8K |
| Forks | 966 | 426 |
| Open issues | 90 | 41 |
| Last commit | 2 days ago | 1 months ago |
| Primary language | TypeScript | TypeScript |
| License | Apache License 2.0 | Apache License 2.0 |
| Open source | Yes | Yes |
| Pricing model | Not recorded | Not recorded |
| Founded | Not recorded | Not recorded |
| Categories | AI agents & autonomous workflows | AI agents & autonomous workflows |
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.