# EverMemOS

根据 OpenAITools.app 于 2026-11-11 核对的流量数据，EverMemOS（evermind.ai）是一个收录在 AI Developer Tools 下的 AI 平台，月访问量为 2.42万，月度环比流量变化为 +2599（+12%）。其主要地理市场为美国（34.6% 流量份额），采用免费试用，免费定价模式。按月流量计算的主要竞争替代方案包括 supermemory（15.66万次访问/月），Hermes-Agent（363.87万次访问/月），Honcho（13.78万次访问/月）。

EverMemOS (also described as EverOS) by EverMind is a memory operating system for AI agents and applications. It adds persistent, self-evolving memory on top of stateless LLMs: agents store multimodal content, retrieve it through hybrid mRAG, distill repeated patterns into reusable Skills, and keep facts in sync over time.

## 关键遥测与规格

| 指标 | 数值 |
| :--- | :--- |
| 工具名称 | EverMemOS |
| 标识 | evermemos |
| Status | active |
| Origin | open_source |
| Maintenance | active |
| 官方域名 | evermind.ai |
| 官网地址 | https://evermind.ai |
| 分类 | AI Developer Tools, AI Agent, Open Source AI Models, AI Models |
| 定价模式 | 免费试用，免费 |
| 月访问量 | 24,237 |
| 月度环比流量变化 | 2,599 |
| 月度环比增长率 | +12% |
| 主要市场 | 美国 |
| 市场份额 | 34.6% |
| 直接访问量 | 14,588 |
| 自然搜索访问 | — |
| 社交访问 | — |
| 推荐访问 | 5,333 |
| 邮件访问 | — |
| 评价得分 | 4.4 |
| 收藏数 | 1 |
| 支持平台 | 网站 |
| 计费平台 |  |
| 属性 | 功能: 网站; 定价: 免费试用; 定价: 免费 |
| 标签 | AI 记忆, 长期记忆, AI 智能体, 记忆基础设施, AI 一致性, 上下文感知 AI, 开源 AI, AI 基准测试, 参数化长上下文, 记忆操作系统, 智能体, AI 演进, RAG（检索增强生成）, AI 身份, AI, 科技, 开发者 |

## 概览

EverMemOS (also described as EverOS) by EverMind is a memory operating system for AI agents and applications. It adds persistent, self-evolving memory on top of stateless LLMs: agents store multimodal content, retrieve it through hybrid mRAG, distill repeated patterns into reusable Skills, and keep facts in sync over time.

## 定价与套餐

EverMind offers a free signup with 2,000 starter credits. No fixed public price list is shown for the cloud platform, and the company positions its memory infrastructure with free and open-source components alongside paid plans.

## 关键功能与能力

- **mRAG multimodal memory:** Multimodal retrieval and ingestion via a single API, covering PDFs, images, Word files, spreadsheets, decks, emails, HTML and URLs.
- **Self-evolving agent memory:** Agent trajectories are recorded as Cases, distilled into reusable Skills, and reused so performance improves over time.
- **Memory Bank transparency:** Inspect, manage and edit user, group and agent memories in a dedicated Memory Bank interface.
- **Open benchmark results:** EverMind publishes reproducible results on LoCoMo, LongMemEval and AMA alongside its memory research.
- **Team and temporal memory:** Supports multi-agent coordination and group context sharing, plus temporal tracking so outdated facts are not treated as current.

## 主要用例

- **Add long-term memory to assistants (AI application developers):** Give chatbots and copilots durable memory so users do not have to repeat context, and answers stay consistent across sessions.
- **Coordinate multi-agent knowledge (Enterprise AI teams):** Share group context and knowledge across multiple agents and platforms so team workflows build on prior work.
- **Retrieve across mixed documents (Knowledge and support teams):** Ingest PDFs, spreadsheets and documents into one retrievable memory layer for knowledge-heavy agents.
- **Keep a personal memory hub (Individual power users):** Browse, manage and edit personal memory and generated Skills in a dedicated visual interface, with a Mac app for cross-device continuity.

## 优势

- Tackles a real gap: persistent memory and identity for AI agents
- mRAG takes many document and media types through one API
- Self-evolving Skills let agents improve instead of starting from zero
- Transparent Memory Bank for inspecting and editing stored memory
- Public, reproducible benchmark numbers for memory tasks

## 局限

- Memory infrastructure requires developer integration effort
- The memory-OS space is crowded and fast-moving, so APIs may evolve
- Self-hosting the open-source core puts operational load on your team
- Benchmark leadership claims still need validation on your own workloads

## 常见问题

### What is EverMemOS?
It's a memory layer that gives AI agents and applications persistent long-term memory, so they can retain context, maintain consistency, and learn from prior experience.

### Is EverMemOS affiliated with OpenAI or Anthropic?
No — EverMind is an independent vendor. It offers its own EverOS memory engine, EverMe personal memory app and related models and benchmarks.

### Does EverMind publish benchmarks?
EverMind states it publishes open-source benchmarks anyone can reproduce, including LoCoMo, LongMemEval and AMA.

### Is there a free tier?
Signing up is free and new users receive 2,000 credits, so you can test the platform before spending anything.

### EverMemOS 的月流量和增长趋势如何？
EverMemOS 目前每月获得 2.42万访问量，月度环比流量变化为 +2599（增长率 +12%）。其主要来源市场是美国（34.6% 份额），包括每月 1.46万次直接访问和每月 — 次自然搜索访问。

### EverMemOS 免费吗？它的定价模式是什么？
EverMemOS 采用免费试用，免费定价模式。EverMind offers a free signup with 2,000 starter credits. No fixed public price list is shown for the cloud platform, and the company positions its memory infrastructure with free and open-source components alongside paid plans. 支持的计费和结账平台包括：未列出。

### 2026 年 EverMemOS 的最佳替代方案有哪些？
基于 OpenAITools.app 的分类流量和功能契合度，EverMemOS 的前五个替代方案是：1. supermemory（15.66万次访问/月）; 2. Hermes-Agent（363.87万次访问/月）; 3. Honcho（13.78万次访问/月）; 4. Qdrant（7.3万次访问/月）; 5. Google Gemma 开源模型（490.09万次访问/月）。

### EverMemOS 支持哪些平台和核心 AI 能力？
EverMemOS 被归类在 AI Developer Tools, AI Agent, Open Source AI Models, AI Models 下，支持以下平台：网站，其核心能力标签包括：AI 记忆, 长期记忆, AI 智能体, 记忆基础设施, AI 一致性, 上下文感知 AI。

## 替代工具

| 工具名称 | 月访问量 | 定价模式 | 对比 |
| :--- | :--- | :--- | :--- |
| [supermemory](https://openaitools.app/zh/tool/supermemory-1) | 156,579 | 定价请咨询 | [对比](https://openaitools.app/zh/compare/evermemos-vs-supermemory-1) |
| [Hermes-Agent](https://openaitools.app/zh/tool/hermes-agent-1) | 3,638,741 | 免费增值 | [对比](https://openaitools.app/zh/compare/evermemos-vs-hermes-agent-1) |
| [Honcho](https://openaitools.app/zh/tool/honcho) | 137,752 | 付费，定价请咨询 | [对比](https://openaitools.app/zh/compare/evermemos-vs-honcho) |
| [Qdrant](https://openaitools.app/zh/tool/qdrant-io) | 72,992 | 免费增值，定价请咨询 | [对比](https://openaitools.app/zh/compare/evermemos-vs-qdrant-io) |
| [Google Gemma 开源模型](https://openaitools.app/zh/tool/gemma-open-models-by-google) | 4,900,914 | 免费增值，付费 | [对比](https://openaitools.app/zh/compare/evermemos-vs-gemma-open-models-by-google) |
| [Unsloth AI](https://openaitools.app/zh/tool/unsloth-ai) | 887,457 | 免费 | [对比](https://openaitools.app/zh/compare/evermemos-vs-unsloth-ai) |
| [Memoripy](https://openaitools.app/zh/tool/memoripy) | 105 | 免费 | [对比](https://openaitools.app/zh/compare/evermemos-vs-memoripy) |
| [Hermes Agent](https://openaitools.app/zh/tool/hermes-agent) | 23,304 | 免费 | [对比](https://openaitools.app/zh/compare/evermemos-vs-hermes-agent) |
| [Composio](https://openaitools.app/zh/tool/composio) | 2,782,603 | 免费增值，定价请咨询 | [对比](https://openaitools.app/zh/compare/composio-vs-evermemos) |
| [Agno](https://openaitools.app/zh/tool/agno) | 140,302 | 定价请咨询，免费 | [对比](https://openaitools.app/zh/compare/agno-vs-evermemos) |
| [HydraDB OSS](https://openaitools.app/zh/tool/hydradb-oss) | 29,635 | 免费增值，定价请咨询 | [对比](https://openaitools.app/zh/compare/evermemos-vs-hydradb-oss) |
| [ModelScope](https://openaitools.app/zh/tool/modelscope-community) | 3,085,423 | 免费 | [对比](https://openaitools.app/zh/compare/evermemos-vs-modelscope-community) |

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来源：https://openaitools.app/zh/tool/evermemos