Fluidstack VS EverMemOS
Fluidstack VS EverMemOS对比，Fluidstack 和 EverMemOS 有什么区别？
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总结
Fluidstack 总结
Fluidstack 着陆页
EverMemOS 总结
EverMemOS 着陆页
比较详细信息
Fluidstack 详细信息
| 类别 | AI开发者工具, AI模型, 大语言模型 LLMs |
| Fluidstack 网站 | https://fluidstack.io?utm_source=toolify |
| 添加时间 | 2023年12月25日 |
| Fluidstack 定价 | -- |
EverMemOS 详细信息
| 类别 | AI开发者工具, AI智能体, 开源AI模型, AI模型 |
| EverMemOS 网站 | https://evermind.ai/?utm_source=toolify |
| 添加时间 | 2025年11月24日 |
| EverMemOS 定价 | -- |
使用情况比较
如何使用 Fluidstack？
To use Fluidstack, you can either reserve a large-scale GPU cluster for AI training and inference or launch on-demand GPU instances. The platform offers fully managed Kubernetes or Slurm environments, and you can contact their engineers for support.
如何使用 EverMemOS？
Users can "Get started for free" with EverMemOS or "Join Waitlist" for access. Developers can integrate the open-source EverMemOS, EverMemBench, and EverMemModel components via their respective GitHub repositories. The platform is designed to be integrated into AI agents and applications to provide them with advanced memory capabilities.
比较 Fluidstack 和 EverMemOS 的优势
Fluidstack的核心功能
- Access to thousands of NVIDIA GPUs (H100, A100, H200, GB200)
- Fully managed infrastructure with Slurm and Kubernetes
- Large scale GPU clusters for training and inference
- On-demand GPU instances
- 24/7 support with 15-minute response times
- 99% uptime guarantee
EverMemOS的核心功能
- Continuous, near-infinite memory for AI agents
- Long-term identity and consistency for AI
- EverMemOS: Open-source memory operating system acting as a "memory application processor"
- EverMemBench: Industry-standard benchmark for evaluating AI memory systems (long-term conversations, causal attribution, passive memory)
- EverMemModel: Core engine for parametric long-context understanding, supporting near-infinite context length and end-to-end training
- Hierarchical Memory Extraction and Dynamic Organization into structured memory graphs
- Extensible Modular Memory Framework adaptable to diverse application requirements
- Achieves SOTA performance on benchmarks like LoCoMo and LongMemEval-S
比较使用案例
Fluidstack的使用案例
- Training large AI models
- Running inference at scale
- Deploying and managing GPU clusters
- Accelerating machine learning product development
EverMemOS的使用案例
- Building AI agents that truly understand users and act with long-term consistency
- Developing AI that evolves with greater proactivity and becomes a personalized partner
- Creating AI for long-term conversations, causal attribution, and passive memory tasks
- Integrating advanced memory capabilities into enterprise applications
- Developing high-precision, structured information processing AI
- Designing empathetic and emotionally intelligent companion AI
Fluidstack和EverMemOS的不同计划
Fluidstack
对不起，没有数据
EverMemOS
Paid
Paid Version predicted in December
Free
Free
Fluidstack的流量
Fluidstack 是月访问量为 91.5K 且平均访问时长为 00:01:43 的工具。 Fluidstack 的每次访问页数为 2.80，跳出率为 38.29%。
最新流量情况
| 月访问量 | 91.5K |
| 平均·访问时长 | 00:01:43 |
| 每次访问页数 | 2.80 |
| 跳出率 | 38.29% |
EverMemOS的流量
EverMemOS 是月访问量为 23.7K 且平均访问时长为 00:00:58 的工具。 EverMemOS 的每次访问页数为 2.29，跳出率为 50.78%。
最新流量情况
| 月访问量 | 23.7K |
| 平均·访问时长 | 00:00:58 |
| 每次访问页数 | 2.29 |
| 跳出率 | 50.78% |
地理位置
Fluidstack 的前 5 个国家/地区是：United States 85.94%, United Kingdom 5.40%, India 1.75%, Canada 1.34%, Spain 1.33%
Top 5 国家/地区
 | 85.94% |
 | 5.40% |
 | 1.75% |
 | 1.34% |
 | 1.33% |
地理位置
EverMemOS 的前 5 个国家/地区是：United States 26.13%, China 15.51%, Germany 11.80%, India 9.74%, Taiwan, China 8.48%
Top 5 国家/地区
| 26.13% |
 | 15.51% |
 | 11.80% |
| 9.74% |
 | 8.48% |
流量来源
Fluidstack 的 6 个主要流量来源是：vs_sourcesSocialOrganic 38.56%, vs_sourcesSearchOrganic 31.80%, 直接访问 23.22%, 外链引荐 3.72%, 邮件 1.84%, vs_sourcesGenAi 0.86%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
vs_sourcesSocialOrganic | 38.56% |
vs_sourcesSearchOrganic | 31.80% |
直接访问 | 23.22% |
外链引荐 | 3.72% |
邮件 | 1.84% |
vs_sourcesGenAi | 0.86% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
流量来源
EverMemOS 的 6 个主要流量来源是：直接访问 65.18%, vs_sourcesSearchOrganic 16.88%, 外链引荐 10.87%, vs_sourcesSocialOrganic 7.08%, 邮件 0.00%, vs_sourcesGenAi 0.00%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
直接访问 | 65.18% |
vs_sourcesSearchOrganic | 16.88% |
外链引荐 | 10.87% |
vs_sourcesSocialOrganic | 7.08% |
邮件 | 0.00% |
vs_sourcesGenAi | 0.00% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
Fluidstack 或 EverMemOS哪个更好？
Fluidstack 可能比 EverMemOS 更受欢迎。如您所见，Fluidstack 每月有 91.5K 次访问，而 EverMemOS 每月有 23.7K 次访问。 所以更多的人选择了Fluidstack。 因此，人们很可能会在社交平台上更多地推荐 Fluidstack。
Fluidstack 的平均访问持续时间为 00:01:43，而 EverMemOS 的平均访问持续时间为 00:00:58。 此外，Fluidstack 的每次访问页面为 2.80，跳出率为 38.29%。 EverMemOS 的每次访问页面为 2.29，跳出率为 50.78%。
Fluidstack 的主要用户是United States, United Kingdom, India, Canada, Spain，分布如下：85.94%, 5.40%, 1.75%, 1.34%, 1.33%。
EverMemOS 的主要用户是 United States, China, Germany, India, Taiwan, China，分布如下：26.13%, 15.51%, 11.80%, 9.74%, 8.48%。
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