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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).
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-[](#readme-top)
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+EverMind connects memory research, production-ready products, and practical
+integrations into one open-source ecosystem.
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+
+
+| Products |
+
+
+| EverOS |
+A local-first, Markdown-native long-term memory runtime for agents and users. |
+
+
+| Raven |
+A memory-first, self-improving agent harness with proactivity, context control, and skill evolution. |
+
+
+| EverMe (CLI) |
+A CLI and agent plugin suite for cross-device, cross-agent personal memory. |
+
+
+| Research & Evaluation |
+
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+| SkillCorpus |
+Curated, retrieval-ready agent skill corpora with retrieval and evaluation tooling. |
+
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+| EverAlgo |
+Stateless extraction, ranking, parsing, and memory operators that power EverOS. |
+
+
+| HyperMem |
+Hypergraph-based hierarchical memory for coarse-to-fine long-term conversation retrieval. |
+
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+| MSA |
+Memory Sparse Attention for scalable latent memory and 100M-token contexts. |
+
+
+| EverMemBench |
+Evaluation of factual recall, applied reasoning, and personalized generalization in memory systems. |
+
+
+| EvoAgentBench |
+Longitudinal evaluation of agent self-evolution, transfer efficiency, error avoidance, and skill use. |
+
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+| Integrations |
+
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+| OpenClaw |
+OpenClaw plugin for automatic recall, capture, and session-memory lifecycle management. |
+
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+| Hermes Agent |
+Hermes plugin for persistent memory across Hermes sessions. |
+
+
+| DeepSeek Harness |
+DSH plugin for memory-aware DeepSeek Harness agents. |
+
+
+| Dify |
+Self-hosted and cloud tools for explicit memory search and storage in workflows and agents. |
+
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+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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## 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)。
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+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。
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+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