原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Repomemory

作者:DanielGuru版本 1.3.0i★ –i在你的电脑上运行
注册名称io.github.DanielGuru/repomemory

安装

概览

作者提供的说明(英文原文)

Persistent memory for AI coding agents. Hybrid search, auto-session capture, context routing.

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。

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

  • npm已安装 Node.js(用于 npx 命令)

你用的是哪个应用?

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": {
    "repomemory": {
      "command": "npx",
      "args": [
        "-y",
        "repomemory"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add repomemory -- npx -y repomemory

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": {
    "repomemory": {
      "command": "npx",
      "args": [
        "-y",
        "repomemory"
      ]
    }
  }
}

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": {
    "repomemory": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "repomemory"
      ]
    }
  }
}

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 DanielGuru 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 7250 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7250 个服务器的 3% 更新
  • 基础检查结果等于或优于此分类中其他 7250 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

Repomemory 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(1.3.0)于9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 Node.js。

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:★ 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

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT今天更新
安装

Codebase Memory

作者:DeusData

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

在你的电脑上运行★ 48,148MIT20天前更新
安装

Exa

作者:exa-labs

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

在云端运行★ 5,213MIT上个月更新
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。

repomemory

Your codebase never forgets.

AI agents lose context every session. repomemory fixes that — one command creates a persistent, searchable knowledge base that any AI tool can read, search, and write to.

npx repomemory go

The Problem

Every time you open a project with Claude Code, Cursor, Copilot, or any AI coding agent:

  • It re-discovers your architecture from scratch
  • It proposes changes that were already debated and rejected
  • It re-introduces bugs that were already fixed

Your CLAUDE.md / .cursorrules helps, but it's static and gets stale.

The Solution

.context/

├── index.md ← Quick orientation (loaded every session) ├── facts/ ← Architecture, database, deployment ├── decisions/ ← "We chose Drizzle over Prisma because..." ├── regressions/ ← "This broke before. Here's what happened." ├── preferences/ ← Your coding style — follows you across all repos ├── sessions/ ← Auto-captured AI session summaries └── changelog/ ← Monthly git history syncs

Facts tell agents how things work. Decisions prevent re-debating. Regressions prevent re-breaking. Preferences teach agents how you code.

Quick Start

With an API key (Claude Code, terminal workflows)
npx repomemory go

One command: sets up global profile, creates .context/, configures Claude Code + Cursor, runs AI analysis, prints CLAUDE.md instructions.

With Cursor (no API key needed)
npx repomemory setup cursor

This installs everything Cursor needs:

  • MCP server in ~/.cursor/mcp.json (auto-starts repomemory in every project)
  • Rules in .cursor/rules/repomemory.mdc (teaches Cursor's AI to use context)
  • 6 commands in .cursor/commands/ (run with / in Cursor chat)

Then in Cursor chat, type:

/repomemory-analyze

Cursor's own AI scans your repo and populates .context/ via the MCP tools. No external API key required — your Cursor subscription handles it.

Available Cursor commands:

CommandWhat it does
/repomemory-analyzeFull repo analysis — populates facts, decisions, index
/repomemory-orientQuick orientation at start of session
/repomemory-searchSearch the knowledge base
/repomemory-recordRecord a fact, decision, or regression
/repomemory-sessionSave a session summary
/repomemory-statusShow context coverage
Guided wizard
npx repomemory wizard

Walks through provider selection, tool integration, and first analysis. If no API keys are detected, offers a "None — I use Cursor" option that skips external analysis entirely.

Non-interactive (CI-safe)
npx repomemory go --yes --provider anthropic --embedding-provider gemini --max-files 80

No prompts when --yes / --defaults / --no-prompt is used.

MCP Server — Agents With Real Memory

The real power is the MCP server. When configured via repomemory setup claude, it auto-starts with Claude Code and gives agents 7 tools:

ToolWhat It Does
context_searchHybrid keyword + semantic search across repo + global context
context_auto_orientOne-call orientation: index, preferences, recent sessions
context_writeWrite entries with smart scope routing (preferences → global)
context_readRead full content, repo-first with global fallback
context_listBrowse entries with [repo]/[global] provenance tags
context_riskAssess modification risk — hotspots, hidden coupling, bus factor
context_deleteRemove stale knowledge
Agent: "Let me orient myself in this project..."

→ context_auto_orient() → Returns: project overview, preferences, recent sessions, recent changes

Agent: "Let me search for context about the auth flow..." → context_search("authentication flow") → Auto-routes to facts/ category, returns compact results

Agent: "I found a race condition. Let me record this." → context_write(category="regressions", filename="token-refresh-race", content="...") → Persisted. Detects if it supersedes an existing entry.

Sessions are auto-captured on shutdown. Zero config — repomemory setup claude handles everything.

Supported Tools

ToolIntegrationAPI Key Required?
Claude CodeMCP server (auto-starts) + post-commit hookYes (for analysis)
CursorMCP server + rules + 6 slash commandsNo — uses Cursor's built-in AI
GitHub Copilotcopilot-instructions.mdYes (for analysis)
Windsurf.windsurfrulesYes (for analysis)
Cline.clinerulesYes (for analysis)
Aider.aider.conf.ymlYes (for analysis)
Continue.continue/rules/Yes (for analysis)

Cursor users: You don't need any API key. Run npx repomemory setup cursor, then use /repomemory-analyze in Cursor chat. Cursor's AI does the analysis using the MCP tools — whatever model Cursor is using (it can even switch models mid-task).

Supported Providers

ProviderModelsEnv Variable
anthropicclaude-sonnet-4-6, claude-opus-4-6ANTHROPIC_API_KEY
openaigpt-4o, o3-miniOPENAI_API_KEY
geminigemini-2.0-flash, gemini-2.5-proGEMINI_API_KEY / GOOGLE_API_KEY
grokgrok-3, grok-3-miniGROK_API_KEY / XAI_API_KEY

Embeddings (optional, for semantic search): Gemini text-embedding-004 (free, default) or OpenAI text-embedding-3-small. Auto-detected from available API keys.

All Commands

repomemory go                            # One-command setup (add --yes for non-interactive)

repomemory wizard # Interactive guided setup repomemory analyze # AI-powered repo analysis repomemory analyze --merge # Update without overwriting edits repomemory analyze --dry-run # Preview without API call repomemory search # Search knowledge base from terminal repomemory status # Coverage and freshness report repomemory doctor # Diagnostics and health check repomemory dashboard # Local web UI (localhost:3333) repomemory risk # Hotspots, coupling, ownership analysis repomemory risk -f src/auth.ts # Targeted risk assessment for specific files repomemory sync # Sync git history to changelog repomemory setup # Configure Claude/Cursor/Copilot/etc repomemory hook install # Auto-sync changelog on commits repomemory global list # Manage global developer context repomemory global export # Export global context as JSON

Configuration

.repomemory.json in your repo root (all fields optional):

{

"provider": "anthropic", "model": "claude-sonnet-4-6", "embeddingProvider": "gemini", "hybridAlpha": 0.5, "maxFilesForAnalysis": 80, "enableGlobalContext": true }

Custom ignorePatterns and keyFilePatterns are additive — they extend built-in defaults, not replace them.

Why Not Just CLAUDE.md?

CLAUDE.mdrepomemory
MaintenanceManualAI-generated + agent-maintained
SearchLoad everythingHybrid keyword + semantic
Cross-toolClaude Code only7 tools supported
Team knowledgeOne person writesEvery AI session contributes
DecisionsMixed in with instructionsStructured, searchable
RegressionsNot trackedPrevents repeat bugs
SessionsNot trackedAuto-captured on shutdown
FreshnessUnknownStaleness detection + auto-purge

repomemory doesn't replace CLAUDE.md — it complements it. CLAUDE.md is for instructions and rules. .context/ holds the knowledge that grows over time.

Contributing

See CONTRIBUTING.md for development setup, testing, and contribution guidelines.

License

MIT


Built for developers who are tired of AI agents forgetting everything between sessions.

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