NoteNow

Local memory for AI coding assistants

NoteNow helps developers save and retrieve important engineering context directly inside their workspace.

Built on the Model Context Protocol (MCP), NoteNow works with MCP-compatible AI coding assistants and has been tested with GitHub Copilot.

Save the information you choose—AI conversations, technical decisions, debugging discoveries, implementation notes, and project knowledge—and retrieve it whenever you need it.

All information is stored locally as readable Markdown files inside your workspace.

System Requirements

Before installing NoteNow, ensure your environment has:

• ✅ Visual Studio Code 1.122.1 or later
• ✅ GitHub Copilot or another MCP-compatible AI assistant
• ✅ Node.js installed (required to run the NoteNow MCP server)

NoteNow stores all saved information locally and does not require any external database or cloud service.

Why NoteNow?

Every development project creates valuable knowledge:

• Architecture decisions
• Debugging discoveries
• AI conversations worth keeping
• Implementation notes
• Technical trade-offs
• Lessons learned

Unfortunately, this context is often lost in:

• AI chat history
• Temporary documents
• Team discussions
• Individual memory

NoteNow creates a persistent local memory layer for your engineering workflow.

Features

🧠 Save AI conversations

Preserve important discussions with your AI coding assistant, including:

• Debugging sessions
• Design decisions
• Implementation explanations
• Problem-solving approaches
• Technical recommendations

Save the AI context that you want your assistant to remember later.

📝 Save engineering knowledge

Capture project-specific knowledge such as:

• Architecture decisions
• Technical trade-offs
• Coding guidelines
• Implementation notes
• Production discoveries
• Future improvements

🔍 Retrieve previous context

When you encounter a similar problem, ask your AI assistant to use NoteNow and retrieve previously saved knowledge.

Weeks or even months later, simply ask your AI assistant to use NoteNow, and it can retrieve the engineering decisions, AI conversations, debugging discoveries, and implementation context you previously saved.

Instead of rediscovering the same solutions, continue development with the benefit of your past knowledge.

Privacy First

Your engineering knowledge stays with your project.

• ✅ Stored locally in your workspace
• ✅ Saved as readable Markdown files
• ✅ No external database required
• ✅ You decide what gets saved

Built for AI-assisted development

AI assistants can write code, explain solutions, and help debug problems.

NoteNow adds another capability:

Remembering the context behind your code.

Your AI assistant should not only understand your codebase—it should understand the conversations, decisions, and discoveries that shaped it.

Example Workflow

Save important context

While working with your AI assistant:

Developer

Save this in NoteNow.

Issue:
API requests were timing out during peak traffic.

Root Cause:
The orders table was missing an index on customer_id.

Solution:
Added a composite index:
(customer_id, created_at)

Lesson:
Review database query performance before production releases.

AI Assistant

Saved to NoteNow:
20260728-production-api-timeout-fix.md

NoteNow stores the information locally:

your-project/
└── .notenow_workspace/
    └── notes/
        └── 20260728-production-api-timeout-fix.md

Retrieve saved knowledge later

Days, weeks, or months later:

Developer

Use NoteNow to search for previous API performance issues.

Have we solved similar API timeout problems before?

AI Assistant

Found previous NoteNow memory:

Production API Timeout

Root Cause:
Missing database index on orders.customer_id.

Solution:
Added composite index:
(customer_id, created_at)

Recommendation:
Review query performance before deployment.

Your AI assistant retrieves the previously saved engineering context, allowing you to continue with the benefit of earlier discoveries instead of starting from scratch.

Compatible With

• ✅ GitHub Copilot
• ✅ MCP-compatible AI assistants

Using NoteNow as an MCP Server

After installing the NoteNow extension, configure your AI assistant to use the bundled MCP server.

Example MCP configuration:

{
  "mcpServers": {
    "notenow": {
      "command": "node",
      "args": [
        "<path-to-installed-NoteNow-MCP-server>/saivishnupalanikumar.notenow-${version example: 0.1.0}/server/build/index.js"
      ],
      "type": "stdio"
    }
  }
}

Replace the path above with the location where the NoteNow extension is installed on your machine. The installation path varies by operating system, VS Code variant, user profile, and extension version.

Once connected, ask your AI assistant:

Save this conversation in NoteNow.

or:

Use NoteNow to search for previous engineering decisions.

Get Started

1. Install NoteNow from the Visual Studio Marketplace.
2. Configure the NoteNow MCP server (if your AI assistant requires manual MCP configuration).
3. Save important engineering context as you work.
4. Retrieve it whenever you need it.

NoteNow transforms temporary AI conversations and engineering discoveries into reusable project memory—helping your AI assistant remember not only your code, but also the decisions behind it.

Save it once. Retrieve it anytime.