tagmesh
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@tagmeshsearch my journal entries tagged #ideas from this week"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
๐ธ TagMesh Notes
Capture Fleeting Thoughts ยท Daily Life & Work Memos ยท Tag-Woven Mesh
Ditch folder anxiety and title friction. Let thoughts weave naturally across a multidimensional tag mesh.
๐ Live Demo Experience โข ๐จ๐ณ ็ฎไฝไธญๆๆๆกฃ โข ๐ฌ๐ง English Docs โข ๐ฑ Application Scenarios โข ๐ 5-Min Deployment โข ๐ Automated CI/CD
๐ก 100% Free & Open-Source ยท Zero Server Cost
TagMesh operates entirely within Cloudflare's free tiers (Workers + D1 SQLite + R2 Object Storage). Zero VPS subscriptions, 100% local-first data privacy, and full data ownership.
๐ก Why TagMesh?
Traditional note-taking tools often inflict heavy cognitive friction before you can even begin writing:
๐ฒ Folder-Heavy Apps (Obsidian / Notion / Evernote): You are forced to pick a folder and invent a title beforehand. This rigid friction kills fleeting sparks of inspiration.
๐ Commercial Memo Tools (Flomo / Yuque): Your data is locked in proprietary third-party clouds with expensive subscriptions and zero native AI Agent connectivity.
๐ Plain Text Markdown Tools: Monolithic, flat, and lacking tactile delight or multi-dimensional visual roaming.
TagMesh restores note-taking to its most natural state:
Zero Folders ยท Zero Titles: Your thoughts are raw streams. Type
#hashtagsanywhere in the text to weave a living knowledge network.Distraction-Free Pure Workspace: No text-selection popups; type
:to trigger clean, rich emotions and symbols autocomplete.Dual Immersive Gallery Views: Seamlessly switch between Bento Masonry Waterfall (column-bucketing layout) and Chronological Timeline Stream.
Mobile Second Brain via Telegram Bot: Text or send photos to your private Telegram bot on the go; 0-delay instant sync into your knowledge base.
Native AI-Native MCP Gateway: Built-in Model Context Protocol (MCP) server allowing Claude Desktop, Cursor, and AI Agents to query, synthesize, and create notes.
Related MCP server: Zero Brain MCP Server
๐ฑ 5 Core Application Scenarios
mindmap
root((๐ธ TagMesh Notes))
(๐
Daily Journals & Moments)
Morning 3 Goals
Evening Reflections
Stress-Free Thoughts
(๐ผ Work Tasks & Meeting Notes)
Real-Time Meeting Log
Action Items Checklist
Project Tags Aggregation
(๐ Reading Reflections & Study)
Book Highlights & Quotes
Learning Insights
Rich Syntax Codeblocks
(๐ค Mobile Telegram Instant Memo)
On-the-Go Text Capture
Photo Uploads
Seamless Cloud Sync
(โก AI Agent Collaboration & Synthesis)
Claude / Cursor MCP
Automated Weekly Summaries
Second Brain Q&A1. ๐ Daily Journals & Fleeting Moments
Scenario: Capture 3 morning goals, gratitude notes, evening thoughts, and travel memories.
Experience: Open the editor and write immediately with soothing tactile sound effects and subtle ambient particles.
2. ๐ผ Work Tasks & Meeting Notes
Scenario: Fast-paced meetings and daily standup action items.
Experience: Type
#todo#meeting#ProjectAlphain prose. Click any tag to aggregate and review all related items in seconds.
3. ๐ Reading Reflections & Learning Logs
Scenario: Reading books, articles, or technical docs with key quotes, insights, and code snippets.
Experience: Full Markdown support with syntax-highlighted code blocks, checklists, and responsive formatting.
4. ๐ค Mobile Capture via Telegram Bot
Scenario: When commuting, walking, or traveling, message your private Telegram Bot with text or photos.
Experience: Bot uploads images to R2, saves notes to D1, and syncs instantly to your TagMesh workspace.
5. โก AI Agent Deep Collaboration (MCP)
Scenario: Connect Claude Desktop, Cursor, or AI assistants to synthesize knowledge clusters or generate weekly reports.
Experience: Native Model Context Protocol (MCP) support with secure Bearer Token authentication.
๐ 5-Minute Quick Deployment Guide
Deploy your private TagMesh instance in 5 minutes with a free Cloudflare account!
Prerequisites
Free Cloudflare Account;
Node.js (v20+) and Git.
Step 1: Clone Repository & Install Dependencies
# 1. Clone repository
git clone https://github.com/SaulGoodManC99/TagMesh.git
cd TagMesh
# 2. Install dependencies
npm installStep 2: Create Cloudflare D1 Database & R2 Bucket
# 1. Login to Cloudflare Wrangler
npx wrangler login
# 2. Create D1 Database (save the printed database_id)
npx wrangler d1 create tagmesh-db
# 3. Create R2 Bucket (for images and backups)
npx wrangler r2 bucket create tagmesh-bucket
# 4. Initialize Database Schema & FTS5 Index
npx wrangler d1 execute tagmesh-db --remote --file=./schema.sqlStep 3: Configure wrangler.toml
Open wrangler.toml in the project root and insert your database_id:
name = "tagmesh-markdown"
main = "worker/index.ts"
compatibility_date = "2024-11-01"
compatibility_flags = ["nodejs_compat"]
[assets]
directory = "./dist"
not_found_handling = "single-page-application"
[[d1_databases]]
binding = "DB"
database_name = "tagmesh-db"
database_id = "YOUR_D1_DATABASE_ID" # ๐ Replace with your real database_id
[[r2_buckets]]
binding = "BUCKET"
bucket_name = "tagmesh-bucket"
[vars]
ENVIRONMENT = "production"
MCP_AUTH_TOKEN = "your_custom_secret_mcp_bearer_token"Step 4: Set Admin Password & Telegram Bot (Optional)
# Set Admin Password (for workspace curator access & private notes)
npx wrangler secret put ADMIN_PASSWORD
# Telegram Second Brain Bot (Optional)
npx wrangler secret put TELEGRAM_BOT_TOKEN
npx wrangler secret put TELEGRAM_ALLOWED_USER_IDS # Your numeric Telegram user IDStep 5: Build & Deploy
# Build SPA frontend bundle
npm run build
# Deploy to Cloudflare Workers Edge
npx wrangler deploy worker/index.tsYour live URL (e.g. https://tagmesh-markdown.xxx.workers.dev) will be printed in the terminal!
๐ GitHub Actions Automated CI/CD Deployment
With GitHub Actions configured, every time you git push to your repository, GitHub will automatically build and deploy the latest version to Cloudflare Workers.
1. Get Cloudflare Credentials
Go to Cloudflare Dashboard;
Click User Profile (top right) -> My Profile -> API Tokens;
Click Create Token, pick the "Edit Cloudflare Workers" template, create and copy the
API Token;Copy your
Account IDfrom the Cloudflare dashboard overview page.
2. Add Secrets in GitHub Repository
In your GitHub repo: Settings -> Secrets and variables -> Actions -> New repository secret, add the following 3 variables:
Secret Name | Description | Example |
| Cloudflare API Token |
|
| Cloudflare Account ID |
|
| Your D1 Database ID |
|
3. Built-in Workflow File
The repository already includes .github/workflows/deploy.yml. Any push to the main branch triggers an automated build & zero-downtime edge deployment:
name: Deploy TagMesh to Cloudflare Workers
on:
push:
branches: [ main ]
workflow_dispatch:
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-node@v4
with:
node-version: 20
cache: 'npm'
- run: npm install
- run: npm run build
- name: Inject D1 ID
run: |
if [ -n "${{ secrets.CLOUDFLARE_D1_DATABASE_ID }}" ]; then
sed -i "s/D1_DATABASE_ID_PLACEHOLDER/${{ secrets.CLOUDFLARE_D1_DATABASE_ID }}/g" wrangler.toml
fi
- uses: cloudflare/wrangler-action@v3
with:
apiToken: ${{ secrets.CLOUDFLARE_API_TOKEN }}
accountId: ${{ secrets.CLOUDFLARE_ACCOUNT_ID }}
command: deploy worker/index.ts๐ License
This project is licensed under the MIT License. Feel free to Star, Fork, and contribute!
This server cannot be deployed
Maintenance
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