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 RagaAI-Catalyst
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.
RagaAI-Catalyst
Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. Includes features like agent, llm and tools tracing, debugging multi-agentic system, self-hosted dashboard and advanced analytics with timeline and execution graph view
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Show all 12 rows| Fact | MemOS | RagaAI-Catalyst |
|---|---|---|
| GitHub stars | 10.5K | 16.1K |
| Forks | 966 | 3.6K |
| Open issues | 90 | 34 |
| Last commit | 2 days ago | 6 months ago |
| Primary language | TypeScript | Python |
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.