by MemTensor · MCP Server · ★ 9.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
MemOS 2.0: 星尘(Stardust) <img src="https://img.shields.io/badge/GitHub-Discussio
| Stars | 9,045 |
| Forks | 810 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 45.69/100 |
| Open Issues | 151 |
| Last Updated | 2026-05-12 |
| Created | 2025-07-06 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~3785k |
These tools work well together with MemOS for enhanced workflows:
Looking for a MemOS alternative? If you're comparing MemOS with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Build, evaluate, and integrate long-term memory for self-evolving agents.
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Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowl
CowAgent (chatgpt-on-wechat) 是基于大模型的超级AI助理,能主动思考和任务规划、访问操作系统和外部资源、创造和执行Skills、通过长期记忆和知识库不断成长,比OpenClaw更轻量和便捷。同
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MemOS is Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings. It is categorized as a MCP Server with 9.0k GitHub stars.
MemOS is primarily written in TypeScript. It covers topics such as agent, agentic-ai, ai.
You can find installation instructions and usage details in the MemOS GitHub repository at github.com/MemTensor/MemOS. The project has 9.0k stars and 810 forks, indicating an active community.
MemOS is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to MemOS on Agent Skills Hub include EverOS, EverMemOS, chatgpt-on-wechat. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.