Token导航 LogoToken导航TokenDH.com
研究检索敏感数据github未标认证来源可访问许可证需确认审计提醒

memories-dev记忆开发

Agent Skill

memories-dev 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

749

周安装

30

GitHub Stars

20

下载量

242
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:memories-dev(记忆开发)
来源仓库:https://github.com/webrenew/memories
仓库路径:skills/memories-dev
安装命令:
npx skills add https://github.com/webrenew/memories --skill memories-dev
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/webrenew/memories --skill memories-dev

简介

memories-dev 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。

  • 适用于关键词搜索、任务场景匹配或来源线索筛选等研究检索场景。
  • 通过 npx skills add 命令从 GitHub 仓库安装,需确认权限与维护状态。
  • 使用前应核实是否会触发联网、命令执行或文件读写操作。
  • 建议结合原始 README 和仓库内容进一步验证具体功能边界。

SKILL.md

memories-dev

Developer guide for contributing to the memories.sh monorepo.

Project Structure

memories/
├── packages/
│   ├── cli/                  # @memories.sh/cli (npm package)
│   │   ├── src/
│   │   │   ├── commands/     # CLI commands (Commander.js)
│   │   │   ├── lib/          # Core: db, memory, auth, embeddings, git
│   │   │   └── mcp/          # MCP server (stdio + HTTP)
│   │   ├── tsup.config.ts    # Build config
│   │   └── package.json
│   └── web/                  # Next.js marketing + dashboard
│       ├── src/app/          # App Router pages + API routes
│       ├── src/components/   # UI components (shadcn/ui)
│       ├── src/lib/          # Auth, Stripe, Supabase, Turso
│       └── content/docs/     # Fumadocs documentation
├── supabase/                 # Database migrations
├── skills/                   # Distributable skills (this directory)
└── pnpm-workspace.yaml

Architecture Overview

Dependency Graph

db.ts (SQLite/libSQL, migrations, FTS5)
  ↓
memory.ts (CRUD, context, lifecycle sessions, compaction, consolidation, streaming)
  ↑          ↑            ↑
openclaw-memory.ts   reminders.ts   embeddings.ts (Xenova/Transformers, cosine similarity)
  ↑          ↑
git.ts    openclaw.ts command bridge
  ↓
Commands ← auth.ts, turso.ts, config.ts, setup.ts
  ↓
MCP Server (stdio + StreamableHTTP transports)
  ↳ registerCoreTools (core + lifecycle + consolidation + reminders)
  ↳ registerStreamingTools (SSE chunk pipelines)

Key Lib Files

FilePurpose
db.tsSQLite via libSQL. Schema migrations, FTS5 triggers, getDb() singleton
memory.tsMemory operations: add/search/list/forget/update, getContext, sessions, compaction checkpoints, consolidation, streaming
openclaw-memory.tsOpenClaw file-mode contract (memory.md, daily logs, snapshots), workspace path resolution, read/write helpers
embeddings.tsLocal embeddings via Xenova/Transformers. generateEmbedding(), cosine similarity
git.tsgetProjectId() — derives project ID from git remote URL
auth.tsCloud auth token storage, device code flow helpers
turso.tsTurso embedded replica sync (cloud ↔ local)
config.tsYAML config read/write (~/.config/memories/)
setup.tsTool detection (Cursor, Claude, Windsurf, VS Code), MCP config setup
templates.tsBuilt-in memory templates (decision, error-fix, api-endpoint, etc.)
ui.tsTerminal styling: chalk, figlet, gradient, boxen

Database Schema

SQLite with FTS5 full-text search:

  • memories — Main table: id, content, type, tags, scope, project_id, created_at, updated_at, deleted_at
  • memories_fts — FTS5 virtual table, synced via triggers
  • memory_embeddings — Vector storage: memory_id, embedding (JSON float array), model
  • memory_links — Bidirectional links: id1, id2, link_type
  • memory_history — Version tracking: memory_id, version, content, tags, change_type
  • memory_sessions — Explicit session state (scope, status, last activity, metadata)
  • memory_session_events — Session turn/checkpoint/event log with meaningful flag
  • memory_session_snapshots — Raw markdown transcript snapshots keyed by trigger/slug
  • memory_compaction_events — Write-ahead compaction audit trail
  • memory_consolidation_runs — Consolidation run metadata and counts

Lifecycle Model (Current)

  1. Session start: startMemorySession() creates memory_sessions row and can preload OpenClaw bootstrap context when file mode is enabled.
  2. Checkpointing: checkpointMemorySession() records meaningful events in memory_session_events.
  3. Compaction guard: writeAheadCompactionCheckpoint() writes a checkpoint before destructive context compaction and logs memory_compaction_events.
  4. Snapshots: createMemorySessionSnapshot() stores raw markdown snapshots in DB and optionally mirrors to OpenClaw snapshot files.
  5. Consolidation: consolidateMemories() merges duplicates/supersedes stale entries and records memory_consolidation_runs.

Adding a New CLI Command

  1. Create packages/cli/src/commands/mycommand.ts:
import { Command } from "commander";

export const myCommand = new Command("mycommand")
  .description("What it does")
  .argument("<required>", "Description")
  .option("-f, --flag <value>", "Description", "default")
  .action(async (required, opts) => {
    // Use lib functions from ../lib/
    // Use ui.ts for styled output
  });
  1. Register in packages/cli/src/index.ts:
import { myCommand } from "./commands/mycommand.js";
program.addCommand(myCommand);
  1. Add tests in packages/cli/src/commands/mycommand.test.ts.

Adding a New MCP Tool

Edit packages/cli/src/mcp/tools.ts (and streaming-tools.ts for chunked ingestion):

server.tool(
  "tool_name",
  "Description of what the tool does",
  {
    param: z.string().describe("Parameter description"),
  },
  async ({ param }) => {
    // Implementation
    return {
      content: [{ type: "text", text: "Result" }],
    };
  }
);

Parameters use Zod schemas. Return {isError: true} for errors.

Notes:

  • Register in registerCoreTools() for standard/lifecycle tools.
  • Keep cloud-vs-local behavior explicit when adding tools that rely on local-only tables or file paths.

Adding a New Generation Target

  1. Add template to packages/cli/src/lib/templates.ts
  2. Register in the generation targets map
  3. Add detection in packages/cli/src/lib/setup.ts
  4. Add docs page in packages/web/content/docs/integrations/

Build & Test

pnpm build          # Build all packages
pnpm typecheck      # TypeScript checks
pnpm test           # Run all tests (vitest)

# CLI-specific
cd packages/cli
pnpm dev            # Watch mode (tsup)
pnpm test           # CLI tests only

# Web-specific
cd packages/web
pnpm dev            # Next.js dev server
pnpm build          # Production build

Tech Stack

LayerTechnology
CLI frameworkCommander.js
DatabaselibSQL (SQLite-compatible)
Full-text searchFTS5
EmbeddingsXenova/Transformers (local)
MCP SDK@modelcontextprotocol/sdk
Buildtsup (CLI), Next.js (web)
Web frameworkNext.js 15 (App Router)
AuthSupabase Auth
Cloud syncTurso embedded replicas
PaymentsStripe
DocsFumadocs
UIshadcn/ui, Tailwind CSS v4
TestingVitest

Reference Files

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

37.67%
按下载量换算91

Claude

31.6%
按下载量换算76

Cursor

16.97%
按下载量换算41

Gemini CLI

8.24%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills