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78 changes: 70 additions & 8 deletions README.md
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## EverMind Ecosystem

Raven is part of the [EverMind](https://evermind.ai/) open-source ecosystem. Explore [EverOS](https://github.com/EverMind-AI/EverOS), [EverAlgo](https://github.com/EverMind-AI/EverAlgo), [HyperMem](https://github.com/EverMind-AI/HyperMem), [EvoAgentBench](https://github.com/EverMind-AI/EvoAgentBench), [EverMemBench](https://github.com/EverMind-AI/EverMemBench), and [EverMe](https://github.com/EverMind-AI/EverMe).

<br>
<div align="right">

[![](https://img.shields.io/badge/-Back_to_top-gray?style=flat-square)](#readme-top)

</div>
EverMind connects memory research, production-ready products, and practical
integrations into one open-source ecosystem.

<table>
<tr>
<th colspan="2">Products</th>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/EverOS">EverOS</a></strong></td>
<td>A local-first, Markdown-native long-term memory runtime for agents and users.</td>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/Raven">Raven</a></strong></td>
<td>A memory-first, self-improving agent harness with proactivity, context control, and skill evolution.</td>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/EverMe">EverMe (CLI)</a></strong></td>
<td>A CLI and agent plugin suite for cross-device, cross-agent personal memory.</td>
</tr>
<tr>
<th colspan="2">Research &amp; Evaluation</th>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/SkillCorpus">SkillCorpus</a></strong></td>
<td>Curated, retrieval-ready agent skill corpora with retrieval and evaluation tooling.</td>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/EverAlgo">EverAlgo</a></strong></td>
<td>Stateless extraction, ranking, parsing, and memory operators that power EverOS.</td>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/HyperMem">HyperMem</a></strong></td>
<td>Hypergraph-based hierarchical memory for coarse-to-fine long-term conversation retrieval.</td>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/MSA">MSA</a></strong></td>
<td>Memory Sparse Attention for scalable latent memory and 100M-token contexts.</td>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/EverMemBench">EverMemBench</a></strong></td>
<td>Evaluation of factual recall, applied reasoning, and personalized generalization in memory systems.</td>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/EvoAgentBench">EvoAgentBench</a></strong></td>
<td>Longitudinal evaluation of agent self-evolution, transfer efficiency, error avoidance, and skill use.</td>
</tr>
<tr>
<th colspan="2"><a href="https://github.com/EverMind-AI/plugins">Integrations</a></th>
</tr>
<tr>
<td><strong><a href="https://docs.openclaw.ai">OpenClaw</a></strong></td>
<td><a href="https://github.com/EverMind-AI/plugins/tree/main/openclaw">OpenClaw plugin</a> for automatic recall, capture, and session-memory lifecycle management.</td>
</tr>
<tr>
<td><strong><a href="https://github.com/NousResearch/hermes-agent">Hermes Agent</a></strong></td>
<td><a href="https://github.com/EverMind-AI/plugins/tree/main/hermes">Hermes plugin</a> for persistent memory across Hermes sessions.</td>
</tr>
<tr>
<td><strong><a href="https://github.com/deepseek-ai/DeepSeek-Harness">DeepSeek Harness</a></strong></td>
<td><a href="https://github.com/EverMind-AI/plugins/tree/main/dsh">DSH plugin</a> for memory-aware DeepSeek Harness agents.</td>
</tr>
<tr>
<td><strong><a href="https://dify.ai">Dify</a></strong></td>
<td><a href="https://github.com/EverMind-AI/plugins/tree/main/dify">Self-hosted</a> and <a href="https://github.com/EverMind-AI/plugins/tree/main/dify_cloud">cloud</a> tools for explicit memory search and storage in workflows and agents.</td>
</tr>
</table>

Together, these projects form EverMind's research-to-runtime stack: methods
and benchmarks become reusable memory infrastructure, products, and agent
integrations.

## Contributing

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76 changes: 68 additions & 8 deletions README.zh-CN.md
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## EverMind 生态

Raven 是 [EverMind](https://evermind.ai/) 开源生态的一部分。你可以继续了解 [EverOS](https://github.com/EverMind-AI/EverOS)、[EverAlgo](https://github.com/EverMind-AI/EverAlgo)、[HyperMem](https://github.com/EverMind-AI/HyperMem)、[EvoAgentBench](https://github.com/EverMind-AI/EvoAgentBench)、[EverMemBench](https://github.com/EverMind-AI/EverMemBench) 和 [EverMe](https://github.com/EverMind-AI/EverMe)。

<br>
<div align="right">

[![](https://img.shields.io/badge/-Back_to_top-gray?style=flat-square)](#readme-top)

</div>
EverMind 将记忆研究、可直接使用的产品与实际集成连接为一个开源生态。

<table>
<tr>
<th colspan="2">产品</th>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/EverOS">EverOS</a></strong></td>
<td>本地优先、Markdown 原生的 Agent 与用户长期记忆运行时。</td>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/Raven">Raven</a></strong></td>
<td>以记忆为核心的自进化 Agent Harness，具备主动性、上下文控制与 Skill 进化能力。</td>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/EverMe">EverMe（CLI）</a></strong></td>
<td>面向跨设备、跨 Agent 个人记忆的 CLI 与 Agent 插件套件。</td>
</tr>
<tr>
<th colspan="2">研究与评测</th>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/SkillCorpus">SkillCorpus</a></strong></td>
<td>将分散的 Agent Skill 整理为可检索语料库，并提供检索与评测工具。</td>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/EverAlgo">EverAlgo</a></strong></td>
<td>为 EverOS 提供无状态的提取、排序、解析与记忆算法。</td>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/HyperMem">HyperMem</a></strong></td>
<td>基于超图的分层记忆架构，用于由粗到细的长期对话检索。</td>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/MSA">MSA</a></strong></td>
<td>面向可扩展潜在记忆与一亿 Token 上下文的 Memory Sparse Attention。</td>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/EverMemBench">EverMemBench</a></strong></td>
<td>从事实召回、应用推理和个性化泛化三个层面评测记忆系统。</td>
</tr>
<tr>
<td><strong><a href="https://github.com/EverMind-AI/EvoAgentBench">EvoAgentBench</a></strong></td>
<td>纵向评测 Agent 自进化、迁移效率、错误规避和 Skill 使用能力。</td>
</tr>
<tr>
<th colspan="2"><a href="https://github.com/EverMind-AI/plugins">插件与集成</a></th>
</tr>
<tr>
<td><strong><a href="https://docs.openclaw.ai">OpenClaw</a></strong></td>
<td><a href="https://github.com/EverMind-AI/plugins/tree/main/openclaw">OpenClaw 插件</a>，自动管理召回、写入与会话记忆生命周期。</td>
</tr>
<tr>
<td><strong><a href="https://github.com/NousResearch/hermes-agent">Hermes Agent</a></strong></td>
<td><a href="https://github.com/EverMind-AI/plugins/tree/main/hermes">Hermes 插件</a>，为 Hermes 会话提供持久记忆。</td>
</tr>
<tr>
<td><strong><a href="https://github.com/deepseek-ai/DeepSeek-Harness">DeepSeek Harness</a></strong></td>
<td><a href="https://github.com/EverMind-AI/plugins/tree/main/dsh">DSH 插件</a>，让 DeepSeek Harness Agent 使用长期记忆。</td>
</tr>
<tr>
<td><strong><a href="https://dify.ai">Dify</a></strong></td>
<td><a href="https://github.com/EverMind-AI/plugins/tree/main/dify">本地版</a>与<a href="https://github.com/EverMind-AI/plugins/tree/main/dify_cloud">云端版</a>工具，在工作流和 Agent 中显式搜索与写入记忆。</td>
</tr>
</table>

这些项目共同构成 EverMind 从研究到运行时的完整链路：将方法与评测转化为
可复用的记忆基础设施、产品和 Agent 集成。

## 参与贡献

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