mnemon-dev/mnemon
LLM监督的AI代理持久记忆——基于图谱的回忆、跨会话知识、单一二进制。兼容DeepSeek Harness、Claude Code、OpenClaw及任何代理运行时。
Project Overview项目介绍
Mnemon is an independent CLI tool that provides LLM-supervised persistent cross-session memory for AI agents. It features a four-graph knowledge store with intent-aware recall, importance decay, and automatic deduplication, running as a single local binary that requires no extra API keys. It supports multiple AI agent platforms including DSH and Claude Code, and can be installed globally via npm with a single command. After installation, mnemon setup completes the initial configuration for integration with your chosen agent platform.
Mnemon is built for developers who want to solve the common problem of AI agents forgetting critical context across sessions. It addresses issues where context compaction drops key details and long conversations push early information out of the context window. AI agents use three core primitives: remember to store new insights, link to connect related knowledge, and recall to pull relevant historical context into the current session. This persistent memory accumulates value over time, steadily improving an agent’s performance on long-running development projects and eliminates repeated re-explanation of context.
Mnemon is released under the open-source Apache 2.0 license. It requires Go 1.24 or newer to build from source, and existing users can upgrade any npm-installed version with the mnemon update command at any time. All memory data is stored locally on the user’s device, and the tool requires no extra cost beyond an existing LLM subscription, with no additional API keys needed for core functionality. First-time users get an interactive setup process after installation to configure their agent integrations.
Mnemon 是一个为 AI 代理提供大语言模型监督的持久化跨会话记忆的独立命令行工具。它采用四图知识存储架构,具备意图感知召回、重要性衰减和自动去重功能,以单一本地二进制文件运行,无需额外 API 密钥,仅需一条命令即可完成初始设置。它同时支持 DSH 和 Claude Code 等多个 AI 代理平台,可通过原生清单集成到 DSH 生态中。
这款工具面向需要长期积累项目知识、解决 AI 代理跨会话遗忘问题的开发者。日常使用中,AI 代理可以通过 remember、link、recall 三个原生命令来存储、关联和召回知识,在新会话中自动拉取历史相关信息,避免关键决策和上下文因上下文窗口压缩丢失。它让开发者可以持续积累项目上下文,提升 AI 代理在长期开发项目中的表现。
它使用 Apache 2.0 开源协议,要求 Go 1.24+ 版本进行构建,支持通过 npm 在 macOS、Linux 和 Windows 系统全局安装,可随时使用 mnemon update 命令升级。工具完全运行在本地,所有数据存储在用户本地设备,不依赖额外的第三方云服务,仅需用户现有大语言模型订阅即可使用,无需额外付费。
请帮我安装这个 DSH 插件。安装前先完成【兼容性检查 + 安全性检查】,检查通过再动手。
插件:mnemon(mnemon-dev/mnemon)
仓库:https://github.com/mnemon-dev/mnemon
本站详情页:https://www.yhbd.top/plugins/mnemon-dev-mnemon/
本站登记:类型 plugin · 归类 原生 DSH 插件 · 许可证 Apache-2.0 · ⭐ 609 · 最近提交 2026-10-03 · 主语言 Go
按下面顺序执行,每步先把结论告诉我,再进入下一步:
【1 兼容性检查】
① 我这边:DSH 版本、Node 版本、操作系统、当前 profile(web / desktop)。
② 读它的 README、package.json、插件 manifest,列出它要求的 DSH 版本 / Node 版本 / 操作系统 / 外部依赖 / 需要另外先装的运行时。
③ 逐条比对,结论只写「满足 / 不满足 / 未知」三种;不满足的给出可行替代方案。
④ 检查是否和我已装的插件冲突:命令名重复、skill / tool 重名、端口占用、重复注册的 MCP server。
【2 安全性检查】
① 仓库可信度:和上面「本站登记」是否一致;star / fork 数、创建时间、最近提交,是否归档或长期停更。
② 安装脚本:逐行看 package.json 的 preinstall / install / postinstall,以及 install.sh、setup.ps1 之类脚本。出现 curl|bash、下载后直接执行、混淆代码、访问与插件功能无关的域名,立刻停下来告诉我,不要继续装。
③ 依赖:列出新增依赖,标出无人维护、或与知名包拼写近似的可疑包(typosquatting)。
④ 权限与副作用:它会读写哪些目录、访问哪些域名、需要哪些 DSH 权限(filesystem / network / shell / clipboard 等),以及怎么卸载和回滚。
⑤ 如果它要求 sudo / 管理员权限,或权限明显超出功能所需,先停下来问我。
【3 安装】
上面两步没有「不满足」和「高危项」时才执行;用官方推荐方式安装,不要自行提权。
【4 汇报】
用表格输出:检查项 / 结论 / 依据 / 是否需要我决策。拿不准的一律写「未知」并说明要我怎么确认——不要猜,也不要替我决定。
Send this message to DSH in your current session: it verifies compatibility and security first (answering met / not met / unknown item by item) and only installs once everything checks out — it will stop and ask you if it finds a high-risk item. The box scrolls; the copy is the full prompt. CLI install commands may not be accurate across systems, so DSH is the safer route.把上面这条消息直接发给当前会话里的 DSH:它会先核对兼容性与安全性(逐条给「满足 / 不满足 / 未知」),确认没问题再安装,有高危项会停下来问你。框内可滚动,复制到的是完整提示词;安装命令不一定准确,发给 DSH 更稳。
- This site's static screen found no obvious risk signal (stars, license, activity, manifest)本站静态筛查没发现明显风险信号(星标、许可证、更新活跃度、清单完整度)
DSH walks through these 9 checksDSH 会逐条核对这 9 项
Compatibility兼容性
- DSH, Node, OS and profile requirementsDSH 版本 / Node 版本 / 操作系统 / profile 是否满足要求
- External dependencies and runtimes (Electron / Python / Docker, ...)外部依赖与运行时(Electron / Python / Docker 等)是否齐备
- Conflicts with installed plugins: command names, skill / tool names, ports, duplicate MCP registration与已装插件是否冲突:命令名、skill / tool 重名、端口占用、重复 MCP 注册
Security安全性
- Repo matches the facts registered here; archived or abandoned?仓库是否与页面登记一致,是否归档或长期停更
- Safety of preinstall / install / postinstall and install.sh / setup.ps1preinstall / install / postinstall 与 install.sh、setup.ps1 是否安全
- curl|bash, download-then-execute, obfuscation, unrelated domains → stop immediatelycurl|bash、下载即执行、混淆代码、无关域名 → 立刻停止
- Typosquatting or unmaintained packages among the new dependencies新增依赖里有没有 typosquatting 或无人维护的包
- Requested permissions vs. what the feature actually needs申请了哪些权限、是否超出功能所需(filesystem / network / shell / clipboard)
- Any sudo / admin requirement, plus uninstall and rollback是否要求 sudo / 管理员权限,以及卸载与回滚方式
Anything uncertain must be marked unknown with a note on how to confirm it. This site's signal screen is a static snapshot, not a security audit.拿不准的必须标「未知」并说明要我怎么确认。本站的信号筛查是静态快照,不能替代安全审计。
Or use CLI install (for developers)或使用命令行安装(适合开发者)
CLI Install命令行安装
dsh plugin --profile web add dsh-mnemon
把 mnemon-dev/mnemon 加入你的 DSH 配置(web profile)即可启用。
READMEREADME
Mnemon
English · 中文
LLM-supervised persistent memory for AI agents.
LLM agents forget everything between sessions. Context compaction drops critical decisions, cross-session knowledge vanishes, and long conversations push early information out of the window.
Mnemon gives your agent persistent, cross-session memory — a four-graph knowledge store with intent-aware recall, importance decay, and automatic deduplication. The mnemon memory path remains one local binary with zero API keys and one setup command.
Mnemon ships one executable with two separate surfaces. Memory stays at the
mnemon root; Agency Preview lives at mnemon agency ... and adds
durable, project-local responsibility and effect admission to an existing Pi
agent. Agency does not replace Memory or the Agent Runtime.
Claude Max / Pro subscriber? Mnemon works entirely through your existing subscription — no separate API key required. Your LLM subscription is the intelligence layer. Two commands and you're done.
Why Mnemon?
Showing the opening section of the README — the full document lives in the repository以上为 README 开头摘要,完整文档在仓库内 · View the full README on GitHub →在 GitHub 查看完整 README →
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