能力标签
MCP内存日志
🔌
MCP工具

MCP内存日志

基于 TypeScript · 让 AI 助手直接操作你的系统与工具
英文名:memory-journal-mcp
⭐ 16 Stars 🍴 7 Forks 💻 TypeScript 📄 MIT 🏷 AI 7.5分
7.5AI 综合评分
ai-agentai-contextcontext-engineering
✦ AI Skill Hub 推荐

AI Skill Hub 推荐使用:MCP内存日志 是一款优质的MCP工具。AI 综合评分 7.5 分,在同类工具中表现稳健。如果你正在寻找可靠的MCP工具解决方案,这是一个值得深入了解的选择。

📚 深度解析

MCP内存日志 是一款基于 MCP(Model Context Protocol)标准协议的 AI 工具扩展。MCP 协议由 Anthropic 开发并开源,旨在建立 AI 模型与外部工具之间的标准化通信接口,目前已被 Claude Desktop、Claude Code、Cursor 等主流 AI 工具采纳。

通过安装 MCP内存日志,你的 AI 助手将获得额外的工具调用能力,可以用自然语言直接操控该工具的功能,无需学习复杂的命令行语法。MCP 工具的核心价值在于"一次配置,永久增强"——配置完成后,每次与 AI 对话时都可以无缝调用这些工具。

在技术实现上,MCP 工具通过标准的 JSON-RPC 协议与 AI 客户端通信,工具的功能以"工具列表"的形式暴露给 AI 模型,AI 可以按需调用。MCP内存日志 提供了结构化的工具调用接口,使 AI 模型能够精确地理解和使用每个功能点,显著降低 AI 在工具使用上的错误率。

与传统的 API 集成相比,MCP 工具的优势在于无需编写代码——用户只需在配置文件中添加几行 JSON,即可让 AI 获得全新能力。AI Skill Hub 将 MCP内存日志 评为 AI 评分 7.5 分,属于同类工具中的优质选择。

📋 工具概览

安全AI内存管理,动态项目检测,自动会话简报

MCP内存日志 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

GitHub Stars
⭐ 16
开发语言
TypeScript
支持平台
Windows / macOS / Linux
维护状态
轻量级项目,按需更新
开源协议
MIT
AI 综合评分
7.5 分
工具类型
MCP工具
Forks
7

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

安全AI内存管理,动态项目检测,自动会话简报

MCP内存日志 是一款遵循 MCP(Model Context Protocol)标准协议的 AI 工具扩展。通过 MCP 协议,它可以让 Claude、Cursor 等主流 AI 客户端直接访问和操作外部工具、数据源和服务,实现 AI 能力的无缝扩展。无论是文件操作、数据库查询还是 API 调用,都可以通过自然语言在 AI 对话中直接触发,极大提升生产效率。

📌 核心特色
  • 通过标准 MCP 协议与 Claude、Cursor 等主流 AI 客户端深度集成
  • 提供结构化工具调用接口,显著降低 AI 集成复杂度
  • 支持 Claude Desktop 和 Claude Code 无缝接入,开箱即用
  • 可与其他 MCP 工具组合叠加,构建完整 AI 工作站
  • 轻量无侵入设计,不影响现有系统架构
🎯 主要使用场景
  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:通过 Claude Code CLI 一键安装
claude skill install https://github.com/neverinfamous/memory-journal-mcp

# 方式二:手动配置 claude_desktop_config.json
{
  "mcpServers": {
    "mcp----": {
      "command": "npx",
      "args": ["-y", "memory-journal-mcp"]
    }
  }
}

# 配置文件位置
# macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
# Windows: %APPDATA%/Claude/claude_desktop_config.json
📋 安装步骤说明
  1. 确认已安装 Node.js(v18 或以上版本)
  2. 打开 Claude Desktop 或 Claude Code 的 MCP 配置文件
  3. 按「交给 Agent 安装 → Claude Desktop」标签中的 JSON 配置填入 mcpServers 字段
  4. 保存配置文件并重启 Claude 客户端
  5. 重启后,在对话中即可使用本工具
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 安装后在 Claude 对话中直接使用
# 示例:
用户: 请帮我用 MCP内存日志 执行以下任务...
Claude: [自动调用 MCP内存日志 MCP 工具处理请求]

# 查看可用工具列表
# 在 Claude 中输入:"列出所有可用的 MCP 工具"
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
// claude_desktop_config.json 配置示例
{
  "mcpServers": {
    "mcp____": {
      "command": "npx",
      "args": ["-y", "memory-journal-mcp"],
      "env": {
        // "API_KEY": "your-api-key-here"
      }
    }
  }
}

// 保存后重启 Claude Desktop 生效
📑 README 深度解析 真实文档 完整度 52/100 含工作流图 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

Memory Journal MCP Server

GitHub npm Docker Pulls License: MIT Status MCP Registry Security TypeScript Coverage Tests E2E Tests CI

📚 Full Documentation (Wiki)ChangelogSecurityRelease Article

🎯 AI Context + Project Intelligence: Bridge disconnected AI sessions with persistent project memory and automatic session handoff — with full GitHub workflow integration.

🚀 Quick Deploy:

📋 Core Capabilities

GitHub Management Capabilities

Memory Journal provides a hybrid approach to GitHub management:

Capability SourcePurpose
**MCP Server**Specialized features: Kanban visualization, Milestones, journal linking, project timelines
**Agent (gh CLI)**Full GitHub mutations: create/close issues, create/merge PRs, manage releases

MCP Server Tools (Read + Kanban + Milestones + Issue Lifecycle):

  • get_github_issues / get_github_issue - Query issues
  • get_github_prs / get_github_pr - Query pull requests
  • get_github_context - Full repository context
  • get_kanban_board / add_kanban_item / move_kanban_item / delete_kanban_item - Kanban management
  • get_github_milestones / get_github_milestone - Milestone tracking with completion %
  • create_github_milestone / update_github_milestone / delete_github_milestone - Milestone CRUD
  • get_repo_insights - Repository traffic & analytics (stars, clones, views, referrers, popular paths)
  • create_github_issue_with_entry / close_github_issue_with_entry - Issue lifecycle with journal linking
Why this design? The MCP server focuses on value-added features that integrate journal entries with GitHub (Kanban views, Milestones, timeline resources, context linking). Standard GitHub mutations (create/close issues, merge PRs, manage releases) are handled directly by agents via gh CLI.

Complete GitHub integration guide →

🔧 Technical Highlights

🚀 Quick Start

Option 2: From Source

git clone https://github.com/neverinfamous/memory-journal-mcp.git
cd memory-journal-mcp
npm install
npm run build

Add to MCP Config

Add this to your ~/.cursor/mcp.json, Claude Desktop config, or equivalent:

Basic Configuration

{
  "mcpServers": {
    "memory-journal-mcp": {
      "command": "memory-journal-mcp",
      "env": {
        "GITHUB_TOKEN": "ghp_your_token_here",
        "PROJECT_REGISTRY": "{\"my-repo\":{\"path\":\"/path/to/your/git/repo\",\"project_number\":1}}",
        "ALLOWED_IO_ROOTS": "/path/to/your/git/repo"
      }
    }
  }
}

Option 3: HTTP/SSE Transport (Remote Access)

🔒 Security Posture: Stdio vs HTTP - Stdio (Default): Runs implicitly within the secure boundaries of your local IDE or command-line environment. No explicit authentication is required because the execution context is already trusted. - HTTP/SSE: Exposes the server over a network socket. By default, HTTP binds ONLY to localhost and blocks wildcard CORS to prevent unauthorized access and CSRF attacks. Public network binding (--server-host 0.0.0.0) requires explicit authentication (--auth-token or --oauth-enabled). The server will throw a fatal error if you attempt to expose it publicly without securing it.

For remote access or web-based clients, run the server in HTTP mode:

memory-journal-mcp --transport http --port 3000

To bind to all interfaces (required for containers) and enable the automated proactive analytics scheduler (e.g. daily digest), you MUST provide an authentication token:

export MCP_AUTH_TOKEN="your_secure_random_token"
memory-journal-mcp --transport http --port 3000 --server-host 0.0.0.0 --digest-interval 1440

Endpoints:

EndpointDescriptionMode
GET /Server info and available endpointsBoth
POST /mcpJSON-RPC requests (initialize, tools/call, etc.)Both
GET /mcpSSE stream for server-to-client notificationsStateful
DELETE /mcpSession terminationStateful
GET /sseLegacy SSE connection (MCP 2024-11-05)Stateful
POST /messagesLegacy SSE message endpointStateful
GET /healthHealth check ({ status, timestamp })Both
GET /.well-known/oauth-protected-resourceRFC 9728 Protected Resource MetadataBoth

Session Management: The server uses stateful sessions by default. Include the mcp-session-id header (returned from initialization) in subsequent requests.

  • OAuth 2.1 — RFC 9728/8414, JWT/JWKS, granular scopes (opt-in via --oauth-enabled)
  • 7 Security Headers — CSP, HSTS (opt-in), X-Frame-Options, and more
  • Rate Limiting — 100 req/min per IP · CORS — configurable multi-origin (exact-match) · 1MB body limit
  • Server Timeouts — Request (120s), keep-alive (65s), headers (66s) · 404 handler · Cross-protocol guard
  • Build Provenance · SBOM · Supply Chain Attestations · Non-root execution

Example with curl:

Initialize session (returns mcp-session-id header):

curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"test","version":"1.0"}}}'

List tools (with session):

curl -X POST http://localhost:3000/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "mcp-session-id: YOUR_SESSION_ID" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}'

Stateless Mode (Serverless)

For serverless deployments (Lambda, Workers, Vercel), use stateless mode:

memory-journal-mcp --transport http --port 3000 --stateless
ModeProgress NotificationsLegacy SSEServerless
Stateful (default)✅ Yes✅ Yes⚠️ Complex
Stateless (--stateless)❌ No❌ No✅ Native

Automated Scheduling (HTTP Only)

When running in HTTP/SSE mode, enable periodic maintenance jobs with CLI flags. These jobs run in-process on setInterval — no external cron needed.

Note: These flags are ignored for stdio transport because stdio sessions are short-lived (tied to your IDE session). For stdio, use OS-level scheduling (Task Scheduler, cron) or run the backup/cleanup tools manually.
memory-journal-mcp --transport http --port 3000 \
  --backup-interval 60 --keep-backups 10 \
  --vacuum-interval 1440 \
  --rebuild-index-interval 720
FlagDefaultDescription
--backup-interval <min>0 (off)Create timestamped database backups and prune old ones automatically
--keep-backups <count>5Max backups retained during automated cleanup
--vacuum-interval <min>0 (off)Run PRAGMA optimize and flush database to disk
--rebuild-index-interval <min>0 (off)Full vector index rebuild to maintain semantic search quality

Each job is error-isolated — a failure in one job won't affect the others. Scheduler status (last run, result, next run) is visible via memory://health.

GitHub Integration Configuration

The GitHub tools (get_github_issues, get_github_prs, etc.) auto-detect the repository from your git context when PROJECT_REGISTRY is configured or the MCP server is run inside a git repository.

Environment VariableDescription
DB_PATHDatabase file location (CLI: --db; default: ./memory_journal.db)
TEAM_DB_PATHTeam database file location (CLI: --team-db)
TEAM_AUTHOROverride author name for team entries (default: git config user.name)
GITHUB_TOKENGitHub personal access token for API access
DEFAULT_PROJECT_NUMBERDefault GitHub Project number for auto-assignment when creating issues
PROJECT_REGISTRYJSON map of repos to { path, project_number } for multi-project auto-detection and routing
AUTO_REBUILD_INDEXSet to true to rebuild vector index on server startup
MCP_HOSTServer bind host (0.0.0.0 for containers, default: localhost)
MCP_AUTH_TOKENBearer token for HTTP transport authentication (CLI: --auth-token). Must NOT be the default placeholder token.
ALLOWED_IO_ROOTS**Critical Security Boundary**: Comma-separated absolute paths granting filesystem access to Code Mode and export tools (default: none / fail-closed)
MCP_CORS_ORIGINAllowed CORS origins for HTTP transport, comma-separated (default: blank, strict opt-in)
TRUST_PROXYTrust proxy headers for rate limiting and origin checks (CLI: --trust-proxy; default: false)
PUBLIC_ORIGINPublic origin URL for OAuth redirect URIs (CLI: --public-origin)
MCP_RATE_LIMIT_MAXMax requests per minute per client IP, HTTP only (default: 100)
LOG_LEVELLog verbosity: error, warn, info, debug (default: info; CLI: --log-level)
MCP_ENABLE_HSTSEnable HSTS security header on HTTP responses (CLI: --enable-hsts; default: false)
OAUTH_ENABLEDSet to true to enable OAuth 2.1 authentication (HTTP only)
OAUTH_ISSUEROAuth issuer URL (e.g., https://auth.example.com/realms/mcp)
OAUTH_AUDIENCEExpected JWT audience claim
OAUTH_JWKS_URIJWKS endpoint for token signature verification
OAUTH_ALLOW_PLAINTEXT_LOOPBACKAllow plaintext HTTP loopback redirect URIs for local OAuth clients (CLI: --oauth-allow-plaintext-loopback; default: false)
OAUTH_CLOCK_TOLERANCEAllowed clock skew tolerance in seconds for JWT verification (default: 5)
CODE_MODE_MAX_RESULT_SIZEMaximum size in bytes for mj_execute_code result payload (CLI: --codemode-max-result-size; default: 102400)
CODEMODE_INTERNAL_FULL_ACCESSBypass tool filter constraints within the Code Mode sandbox (CLI: --codemode-internal-full-access; default: false)
BRIEFING_ENTRY_COUNTJournal entries in briefing (CLI: --briefing-entries; default: 3)
BRIEFING_SUMMARY_COUNTSession summaries to list in briefing (CLI: --briefing-summaries; default: 1)
BRIEFING_INCLUDE_TEAMInclude team DB entries in briefing (true/false; default: false)
BRIEFING_ISSUE_COUNTIssues to list in briefing; 0 = count only (default: 0)
BRIEFING_PR_COUNTPRs to list in briefing; 0 = count only (default: 0)
BRIEFING_PR_STATUSShow PR status breakdown (open/merged/closed; default: false)
BRIEFING_MILESTONE_COUNTMilestones to list in briefing; 0 = hide entirely (CLI: --briefing-milestones; default: 3)
BRIEFING_WORKFLOW_COUNTWorkflow runs to list in briefing; 0 = status only (default: 0)
BRIEFING_WORKFLOW_STATUSShow workflow status breakdown in briefing (default: false)
BRIEFING_COPILOT_REVIEWSAggregate Copilot review state in briefing (default: false)
RULES_FILE_PATHPath to user rules file for agent awareness (CLI: --rules-file)
SKILLS_DIR_PATHPath to skills directory for agent awareness (CLI: --skills-dir)
MEMORY_JOURNAL_WORKFLOW_SUMMARYFree-text workflow summary for memory://workflows (CLI: --workflow-summary)
INSTRUCTION_LEVELBriefing depth: essential, standard, full (CLI: --instruction-level; default: standard)
PROJECT_LINT_CMDProject lint command for GitHub Commander validation gates (default: npm run lint)
PROJECT_TYPECHECK_CMDProject typecheck command (default: npm run typecheck; empty = skip)
PROJECT_BUILD_CMDProject build command (default: npm run build; empty = skip)
PROJECT_TEST_CMDProject test command (default: npm run test)
PROJECT_E2E_CMDProject E2E test command (default: empty = skip)
PROJECT_PACKAGE_MANAGERPackage manager override: npm, yarn, pnpm, bun (default: auto-detect from lockfile)
PROJECT_HAS_DOCKERFILEEnable Docker audit steps (default: auto-detect)
COMMANDER_HITL_FILE_THRESHOLDHuman-in-the-loop checkpoint if changes touch > N files (default: 10)
COMMANDER_SECURITY_TOOLSOverride security tool auto-detection (comma-separated; default: auto-detect)
COMMANDER_BRANCH_PREFIXBranch naming prefix for PRs (default: fix)
AUDIT_LOG_PATHPath for the JSONL operational telemetry log of write/admin tool calls. Rotates at 10 MB (keeps 5 archives). Omit to disable telemetry logging.
AUDIT_REDACTSet to false to include tool arguments in telemetry log entries (default: true)
AUDIT_READSLog read-scoped tool calls in addition to write/admin (CLI: --audit-reads; default: false)
AUDIT_LOG_MAX_SIZEMaximum operational telemetry file size in bytes before rotation (CLI: --audit-log-max-size; default: 10485760)
MCP_METRICS_ENABLEDSet to false to disable in-memory tool call metrics accumulation (default: true)
FLAG_VOCABULARYComma-separated flag types for Hush Protocol (CLI: --flag-vocabulary; default: blocker,needs_review,help_requested,fyi)
PRUNE_OLDER_THAN_DAYSSoft-delete entries older than N days with importance below threshold on startup; 0 = disabled (CLI: --prune-older-than-days; default: 0)
PRUNE_IMPORTANCE_THRESHOLDImportance score threshold (0.0–1.0) — entries scoring below this are pruned (CLI: --prune-importance-threshold; default: 0.15)

Multi-Project Workflows: For agents to seamlessly support multiple projects, provide PROJECT_REGISTRY.

Dynamic Context Resolution & Auto-Detection

When executing GitHub tools (issues, PRs, context, etc.), the server resolves repository context in this order:

  1. Dynamic Project Routing: If the agent passes a repo string that matches a key in your PROJECT_REGISTRY, the server dynamically mounts the physical directory mapped to that project. It executes git commands locally and automatically infers the owner.
  2. Explicit Override: If the agent provides both owner and repo explicitly, those values override auto-detection for API calls.
  3. Missing Context: Without PROJECT_REGISTRY or explicit parameters, the server blocks execution and returns {requiresUserInput: true} to prompt the agent.

Automatic Project Routing (Kanban / Issues)

When opening an issue or viewing/moving a Kanban card, the server needs a GitHub Project number. It determines this via:

  1. Exploring the raw project_number argument passed by the agent.
  2. Checking if the repo string precisely matches an entry in your PROJECT_REGISTRY, seamlessly mapping it to its pre-configured project_number.
  3. Falling back to the globally defined DEFAULT_PROJECT_NUMBER if set.

🔧 Configuration

GitHub Integration (Optional)

export GITHUB_TOKEN="your_token"              # For Projects/Issues/PRs

Scopes: repo, project, read:org (org-level project discovery only)

🎯 **19 Workflow Prompts**

  • find-related - Discover connected entries via semantic similarity
  • prepare-standup - Daily standup summaries
  • prepare-retro - Sprint retrospectives
  • weekly-digest - Day-by-day weekly summaries
  • analyze-period - Deep period analysis with insights
  • goal-tracker - Milestone and achievement tracking
  • get-context-bundle - Project context with Git/GitHub/Kanban
  • get-recent-entries - Formatted recent entries
  • project-status-summary - GitHub Project status reports
  • pr-summary - Pull request journal activity summary
  • code-review-prep - Comprehensive PR review preparation
  • pr-retrospective - Completed PR analysis with learnings
  • actions-failure-digest - CI/CD failure analysis
  • project-milestone-tracker - Milestone progress tracking
  • confirm-briefing - Acknowledge session context to user
  • session-summary - Create a session summary entry with accomplishments, pending items, and next-session context
  • team-session-summary - Create a retrospective team session summary entry securely isolated to the team database
  • adversarial-plan-review - Multi-pass adversarial plan review with structured dimensions, scoring rubric, and prior plan context
  • flag-dashboard - Triage active flags with priority assessment and resolution guidance

Complete prompts guide →

GitHub Commander Workflows

The server natively bundles the github-commander agent skill (accessible via memory://skills/github-commander). This extends your AI assistant with 9 autonomous DevOps workflows for repository stewardship: Issue Triage, Milestone Sprints, PR Reviews, Copilot Audits, Security Audits, Code Quality Audits, Performance Audits, Roadmap Kickoffs, and Dependency Updates. Configure validation layers using the PROJECT_* environment overrides to enforce CI-matching execution locally during agent tasks!

🎯 aiskill88 AI 点评 A 级 2026-05-31

高质量MCP工具,值得关注

📚 实用指南(长尾问题)
适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
  • 构建企业知识库 / RAG 检索应用的团队
最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal
部署方案
  • Docker:memory-journal-mcp 提供官方镜像,docker compose up 一键启动
  • CLI:直接 npm install -g / pip install,命令行调用
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
memory-journal-mcp 中文教程memory-journal-mcp 安装报错怎么办memory-journal-mcp MCP 配置memory-journal-mcp Docker 部署memory-journal-mcp Agent 工作流memory-journal-mcp 与同类工具对比memory-journal-mcp 最佳实践memory-journal-mcp 适合谁用

⚡ 核心功能

👥 适合谁
  • 需要让 Claude / Cursor 操作本地工具的 AI 工程师
  • 构建多智能体协作系统的 Agent 开发者
  • 构建企业知识库 / RAG 检索应用的团队
⭐ 最佳实践
  • 配置 MCP 服务器时建议使用 stdio 传输 + JSON-RPC,避免暴露公网
  • 生产部署优先使用 Docker Compose 隔离依赖,并挂载 volume 持久化数据
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
  • MCP 配置路径拼错或权限不足,重启 Claude Desktop 才生效
  • 容器内无法访问宿主机 localhost — 使用 host.docker.internal

👥 适合人群

Claude Desktop / Claude Code 用户AI 工具开发者需要扩展 AI 能力的专业人士自动化工程师

🎯 使用场景

  • 在 Claude Desktop 对话中直接调用本地工具,实现 AI 与系统的深度联动
  • 通过自然语言驱动复杂的多步骤自动化任务,代替繁琐手动操作
  • 将多个 MCP 工具组合使用,构建个人专属 AI 工作站

⚖️ 优点与不足

✅ 优点
  • +MIT 协议,可免费商用
  • +标准化 MCP 协议,生态互联性强
  • +与 Claude 官方生态无缝对接
  • +即插即用,配置简单快捷
⚠️ 不足
  • 依赖 Claude 客户端,非 Claude 用户无法使用
  • MCP 协议仍在持续演进,接口可能变更
  • 需要一定的配置步骤
⚠️ 使用须知

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。

🔗 相关工具推荐

📰 相关 AI 新闻
🍿 AI 圈相关吃瓜
🗺️ 相关解决方案
🧩 你可能还需要
基于当前 Skill 的能力图谱,自动补全的工具组合

❓ 常见问题 FAQ

memory-journal-mcp 是一款TypeScript开发的AI辅助工具。开源MCP工具:Secure AI Memory with Dynamic Project Detection, Automatic Session Briefing, Per。⭐16 · TypeScript 主要应用场景包括:AI项目内存安全管理。
💡 AI Skill Hub 点评

总体来看,MCP内存日志 是一款质量良好的MCP工具,在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态,建议收藏备用,结合自身场景选择合适时机引入使用。

⬇️ 获取与下载
⬇ 下载源码 ZIP

✅ MIT 协议 · 可免费商用 · 直接从 aiskill88 服务器下载,无需跳转 GitHub

📚 深入学习 MCP内存日志
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 memory-journal-mcp
原始描述 开源MCP工具:Secure AI Memory with Dynamic Project Detection, Automatic Session Briefing, Per。⭐16 · TypeScript
Topics ai-agentai-contextcontext-engineering
GitHub https://github.com/neverinfamous/memory-journal-mcp
License MIT
语言 TypeScript
🔗 原始来源
🐙 GitHub 仓库  https://github.com/neverinfamous/memory-journal-mcp 🌐 官方网站  https://adamic.tech/articles/memory-journal-mcp-server

收录时间:2026-05-31 · 更新时间:2026-06-01 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。