English(EN) Give your LangChain, LlamaIndex, CrewAI, Google ADK, Hermes or OpenClaw agent a memory, one connection each

Semurg 发布 MCP 以实现共享长期代理内存

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-28 13:54

Semurg 发布了一个名为 MCP 的新内存系统，允许 AI 代理共享长期内存。该系统将代理交互和知识以图的形式存储在用户的机器上，使不同的代理和框架能够访问和构建共享信息。MCP 旨在与 LangChain、LlamaIndex 和 CrewAI 等流行的代理框架集成，提供持久的内存，可在进程终止后继续存在，并促进多个代理之间的协作。 AI

影响通过实现跨不同框架的共享长期内存，增强了代理协作和持久性。

排序理由这是 AI 代理的新产品发布，提供了增强的内存功能。

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Signal score: 32 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 这是 AI 代理的新产品发布，提供了增强的内存功能。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: product, infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

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dev.to — MCP tag TIER_1 English(EN) · Semurg · 2026-10-28 13:54

Give your LangChain, LlamaIndex, CrewAI, Google ADK, Hermes or OpenClaw agent a memory, one connection each

<p>Most agent frameworks give an agent a chat history and call it memory. When the process ends, it is gone. When two agents work on the<br /> same project, they know nothing about each other.</p> <p>Semurg gives every agent the same long-term memory, on your own machine, over MC…

本文如何被排名

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Give your LangChain, LlamaIndex, CrewAI, Google ADK, Hermes or OpenClaw agent a memory, one connection each

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