Hypermnesia MCP Viz

Name: Hypermnesia MCP Viz
Author: cdeust

作者：cdeust版本 3.2.0i★ –i在你的电脑上运行

注册名称io.github.cdeust/hypermnesia-mcp-viz

安装

概览

作者提供的说明（英文原文）

Read-only visualization for Cortex memory, knowledge, sessions, traces, and codebase graphs.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i非常新↓ 33/周 · ★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: stdio
分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
注册中心没有列出需要填写的密钥。

你需要

PyPI已安装 Python 的 uv（用于 uvx 命令）

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "hypermnesia-viz": {
      "command": "uvx",
      "args": [
        "hypermnesia-mcp-viz"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add hypermnesia-viz -- uvx hypermnesia-mcp-viz

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "hypermnesia-viz": {
      "command": "uvx",
      "args": [
        "hypermnesia-mcp-viz"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "hypermnesia-viz": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "hypermnesia-mcp-viz"
      ]
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 cdeust 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 5690 个服务器的 0%
发布到注册中心的时间比此分类中其他 5690 个服务器的 41% 更新
基础检查结果等于或优于此分类中其他 5690 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Hypermnesia MCP Viz 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（3.2.0）于2个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

Up-to-date docs for AI agents

作者：upstash广泛使用↓ 97.3万/周★ 6.4万前天更新

电脑或云端

安装

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

作者：DeusData广泛使用↓ 1.8万/周★ 4.8万22天前更新

在你的电脑上运行

安装

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

作者：exa-labs正在增长★ 52132个月前更新

在云端运行✓ exa.ai

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Hypermnesia MCP Viz

Hypermnesia MCP Viz is published as `hypermnesia-mcp-viz` everywhere: Python, MCP Registry, Claude Code, Codex, Gemini, and the console command.

The cross-platform visualization layer for [Cortex](https://github.com/cdeust/Cortex). Codex, Gemini CLI, Claude Code, and any stdio MCP host can launch the same read-only server and browser UI. It turns Cortex's memory store, a host-neutral live activity stream, Claude Code's historical session archive, and your codebase graph into six live reading angles: a project galaxy, a 3D anatomical brain, an execution trace, a consolidation kanban, a curated knowledge browser, and a wiki. It never writes a memory: it renders, it never remembers. (It does keep its own derived graph/layout caches in the Cortex database, listed under Boundary.)

Launch with the open_visualization tool (or /cortex-visualize). One launcher opens six reading angles; the default landing view is Trace.

The whole UI ships on the AI Architect design system: a paper-first reading surface with a persistent ink (night) toggle, greyscale chrome, and a data palette resolved from design tokens at runtime, flipping the surface re-inks every view in place without disturbing a settled layout, and every count on screen is exact and streamed, never rounded.

Getting Started

Python 3.11 or newer is required. Upgrade Python 3.10 installations before updating: the fixed Pillow 13 release requires Python 3.11.

Claude Code users can install Hypermnesia MCP Viz from the same cortex-plugins marketplace as Cortex:

claude plugin marketplace add cdeust/Cortex

claude plugin install hypermnesia-mcp-viz@cortex-plugins

This install name becomes available in the Cortex marketplace only when this repository and the matching marketplace change in cdeust/Cortex#351 are released together. Maintainers must not publish either half of the rename on its own.

Migrating from `cortex-viz`

Existing Claude Code installs are not aliases for the new plugin identity. Remove the old install, refresh the marketplace after the coordinated release, and install the canonical plugin:

claude plugin uninstall cortex-viz@cortex-plugins

claude plugin marketplace update cortex-plugins claude plugin install hypermnesia-mcp-viz@cortex-plugins

Claude composes plugin tool names from the plugin manifest name, the mcpServers key, and the tool name. Update both old full names wherever they appear in permission allowlists, hooks, skills, or agents:

mcp__plugin_cortex-viz_cortex-viz__open_visualization becomes mcp__plugin_hypermnesia-mcp-viz_hypermnesia-mcp-viz__open_visualization.
mcp__plugin_cortex-viz_cortex-viz__get_methodology_graph becomes mcp__plugin_hypermnesia-mcp-viz_hypermnesia-mcp-viz__get_methodology_graph.

The removed cortex-viz console command is not retained as an alias, so Cursor, Windsurf, VS Code, and other direct-process configurations must invoke hypermnesia-mcp-viz instead.

Hypermnesia MCP Viz is a companion to [Cortex](https://github.com/cdeust/Cortex) that never writes a memory. Install Cortex first (claude plugin install hypermnesia-mcp@cortex-plugins): the visualizer reads its shared PostgreSQL store, and writes only its own derived caches there (Boundary). Point both at the same database: the database_url plugin setting defaults to postgresql://127.0.0.1:5432/cortex; set it to the same value you gave Cortex.

Restart your Claude Code session, then launch the visualizer:

/cortex-visualize

Codex, Gemini CLI, and other MCP hosts launch the same server as a plain stdio process; see Other MCP hosts for the exact configuration.

One launcher opens all six reading angles (Graph · Brain · Trace · Knowledge · Wiki · Board) in the browser, served live from the Cortex store, your session JSONL, the code graph, and git.

Works without Cortex

No Cortex, no PostgreSQL, no setup: Hypermnesia MCP Viz is still useful on its own. The Trace view (the default landing view) reads only ~/.claude/projects/*.jsonl and your local git: every Claude Code session becomes a navigable domain → session → prompt → action → file chain, with per-file diffs and commit history. If you use Claude Code, the data is already on your disk.

Just install the plugin and run /cortex-visualize. When Cortex's database isn't reachable, the server logs one line and starts in no-DB mode automatically: Trace is fully live; the five DB-backed views (Graph, Brain, Knowledge, Wiki, Board) appear greyed out with an install pointer instead of erroring.
To skip the database probe entirely, set CORTEX_VIZ_NO_DB=1 (or pass --no-db when running the standalone server directly).

Installing Cortex later lights up the other five views against the same UI (no reconfiguration).

More options (Clone, manual run)

Clone + run from source:

git clone https://github.com/cdeust/cortex-viz.git && cd cortex-viz

pip install -e . DATABASE_URL=postgresql://127.0.0.1:5432/cortex python3 -m cortex_viz

Without Cortex/Postgres (Trace view only):

CORTEX_VIZ_NO_DB=1 python3 -m cortex_viz

The views

Graph: the Claude workflow map

Each project becomes a cloud of nodes around one gold domain hub. Inside every cloud, nodes sit in six concentric levels by the Claude surface (or the code itself) that produced them:

Level	What's there	Click through to
L1 · Setup	Skills · Commands · Hooks · Agents · MCPs	File paths; which domains share an MCP (thin indigo bridges)
L2 · Tools	One hub per Claude tool per domain (Edit · Write · Read · Grep · Glob · Bash · Task)	Files touched + total uses
L3 · Files	Every file Claude opened, read, edited, searched, or referenced, colored by primary tool	`first_seen` / `last_accessed` / `last_modified` + See diff against HEAD
L4 · Discussions	One node per Claude Code session	`started_at`, duration, message count + View full conversation replay
L5 · Memories	Persistent memories, colored by consolidation stage	Full content, tags, every scientific measurement
L6 · AST symbols	The code itself: functions, methods, classes, modules, constants parsed from 10 languages (Rust, Python, TypeScript, Java, Kotlin, Swift, Objective-C, C, C++, Go)	Qualified name, symbol type, parent file, and named `defined_in` / `calls` / `imports` / `member_of` edges

Why L6 matters. L5 and below tell you *what Claude did*; L6 tells you *what the code is*. Three things become visible for free: shared code (any symbol referenced by two projects drifts into the inter-project gap), impact (clicking a symbol surfaces every caller, importer, and member: "what breaks if I change this?" is a graph neighbourhood, not a grep), and the shape of the codebase itself (a dense petal around a file means a fat internal API; a thin one means a leaf module). A grouped filter (L1–L6 / by kind / by AST edge kind / Cross-domain) isolates any slice.

Brain: the galaxy inside a real cortex

The same graph, on a second surface: every node placed inside an anatomical cortical mesh by the neuroscience of memory systems rather than by force-direction. Episodic memories sit in the medial temporal lobe and migrate outward to neocortex along a hot→consolidated depth gradient (the complementary-learning-systems consolidation model); semantic entities in temporal neocortex; code symbols in association cortex; procedural skills in the striatum and cerebellum; domains at the connectome's rich-club hubs. Region centres are registered from real MNI152 atlas coordinates (affine fit, not vertex-exact; the mesh is a single unlabeled surface). Every synapse routes along a major white-matter tract (fornix, uncinate, SLF, corpus callosum). Node colour is the same semantic palette as the galaxy (memories by consolidation stage, entities/symbols by type), and a live Memory science panel mirrors the store's system vitals (consolidation pipeline, skills, source-monitoring, extinction, sleep phases, and every mechanism Cortex exposes).

Because the full graph (278k+ nodes, 5.5M edges) is far larger than a browser can take in one payload, the brain streams it in progressively through a bounded-queue, frame-budgeted NDJSON loader: the cloud fills in as you watch. Clicking any node opens the same rich detail card as the galaxy (content, tags, live heat, relations, git diff, impact). Open it from the Brain button in the view bar, directly at /brain, or programmatically via open_visualization(view="brain").

Board: consolidation as a kanban

Five columns by consolidation stage (labile · early_ltp · late_ltp · consolidated · reconsolidating). Each header states the stage's live count (server-side truth, not the loaded page) above its reference stage physics (decay ×, vulnerability %, plasticity %) and the stage's advancement rule (e.g. replays ≥ 1 or imp > 0.3 at `lab

只显示了开头部分；其余内容请在仓库中阅读

Hypermnesia MCP Viz

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

常见问题

替代选择

Context7

Codebase Memory

Exa

作者的 README

Hypermnesia MCP Viz

Getting Started

Migrating from cortex-viz

Works without Cortex

Without Cortex/Postgres (Trace view only):

The views

Graph: the Claude workflow map

Brain: the galaxy inside a real cortex

Board: consolidation as a kanban

Migrating from `cortex-viz`