noted

command module
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 Go to latest Published: Feb 11, 2026 License: MIT Imports: 1 Imported by: 0

README

noted

A fast, lightweight CLI knowledge base for capturing and organizing notes from your terminal. Includes an MCP server for AI agent integration.

Features

  • Quick capture - Create notes with titles, content, and tags in one command
  • Rich tagging - Organize notes with multiple tags, view tag statistics
  • Full-text search - Find notes by searching titles and content
  • Agent memory system - Remember, recall, and forget memories with categories and importance levels
  • TTL support - Set time-to-live for auto-expiring notes and memories
  • Source tracking - Track where notes originated (code reviews, meetings, etc.)
  • Import/Export - Markdown, JSON, and JSONL formats with YAML frontmatter
  • Editor integration - Uses your $EDITOR for composing longer notes
  • MCP Server - Expose notes to AI agents like Claude via Model Context Protocol
  • Semantic search - Optional vector similarity search powered by veclite
  • Portable - Single binary, SQLite database, XDG-compliant storage

Quick Start

# Install via Homebrew (macOS/Linux)
brew install abdul-hamid-achik/tap/noted

# Create your first note
noted add -t "Meeting Notes" -c "Discussed Q1 roadmap" -T "work,meetings"

# List recent notes
noted list

# Search notes
noted grep "roadmap"

Installation

brew install abdul-hamid-achik/tap/noted
Go Install

Requires Go 1.21 or later:

go install github.com/abdul-hamid-achik/noted@latest
Download Binary

Download pre-built binaries from the releases page.

Available for:

  • macOS (Intel and Apple Silicon)
  • Linux (amd64 and arm64)
  • Windows (amd64 and arm64)
From Source
git clone https://github.com/abdul-hamid-achik/noted.git
cd noted
task build      # or: go build -o bin/noted .
task install    # or: go install .

Usage

Adding Notes

Create a new note with title, content, and optional tags:

# Quick note with inline content
noted add -t "Todo" -c "Buy groceries" -T "personal,todo"

# Open $EDITOR to compose content
noted add -t "Journal Entry"

# Note with multiple tags
noted add -t "Go Tips" -c "Use gofmt" -T "golang,programming,tips"

Flags:

Flag Short Description
--title -t Note title (required)
--content -c Note content (opens editor if omitted)
--tags -T Comma-separated tags
--ttl Time-to-live (e.g., 24h, 7d)
--source Source identifier (e.g., code-review)
--source-ref Source reference (e.g., main.go:50)
Listing Notes

View your notes with optional filtering:

# List recent notes (default: 20)
noted list

# Limit results
noted list -n 5

# Filter by tag
noted list --tag work

Flags:

Flag Short Description
--limit -n Maximum notes to show (default: 20)
--tag -T Filter by tag name
Viewing Notes

Display a single note with full details:

# Show note with metadata
noted show 1

# Output raw markdown only (for piping)
noted show 1 --raw

Flags:

Flag Short Description
--raw -r Output only the note content

Example output:

# Meeting Notes

ID: 1
Created: 2026-01-29 14:30
Updated: 2026-01-29 14:30
Tags: work, meetings

---

Discussed Q1 roadmap with the team.
Editing Notes

Modify existing notes:

# Update title only
noted edit 1 -t "Updated Title"

# Update content
noted edit 1 -c "New content here"

# Replace all tags
noted edit 1 -T "newtag1,newtag2"

# Open in editor (when no flags provided)
noted edit 1

# Clear all tags
noted edit 1 -T ""

Flags:

Flag Short Description
--title -t New title
--content -c New content
--tags -T Replace tags (comma-separated)
Deleting Notes

Remove notes from the database:

# Delete with confirmation
noted delete 1

# Delete without confirmation
noted delete 1 --force

# Delete multiple notes
noted delete 1 2 3 --force

Flags:

Flag Short Description
--force -f Skip confirmation prompt
Managing Tags

View and manage your tags:

# List all tags
noted tags

# Show tags with note counts
noted tags --count

# Delete unused (orphan) tags
noted tags --delete-unused

Flags:

Flag Short Description
--count -c Show note count per tag
--delete-unused -d Delete tags with no notes

Example output:

$ noted tags --count
golang (5)
personal (3)
work (12)
Searching Notes

Find notes by text in title or content:

# Search for a term
noted grep "kubernetes"

# Limit results
noted grep "meeting" -n 5

Flags:

Flag Short Description
--limit -n Maximum results (default: 20)
Memory System

The memory system provides a way to store, recall, and manage memories with categories and importance levels. This is especially useful for AI agents that need persistent context.

Storing Memories
# Store a simple memory
noted remember "Always use snake_case for database columns"

# Store with category and importance
noted remember "Project uses PostgreSQL 15" --category project --importance 4

# Store with TTL (auto-expires)
noted remember "Review PR #123 by Friday" --ttl 3d --category todo

# Store with source tracking
noted remember "Found auth bug" --source code-review --source-ref auth.go:142

Flags:

Flag Short Description
--title -t Short title for the memory
--category -c Category: user-pref, project, decision, fact, todo (default: fact)
--importance -i Importance level 1-5 (default: 3)
--ttl Time-to-live duration (e.g., 24h, 7d)
--source Source identifier
--source-ref Source reference
Recalling Memories
# Search memories
noted recall "database conventions"

# Limit results
noted recall "authentication" --limit 10

# Filter by category
noted recall "setup" --category project

# Use semantic search (if available)
noted recall "user preferences" --semantic

Flags:

Flag Short Description
--limit -n Maximum results (default: 5)
--category -c Filter by category
--semantic -s Use semantic search (default: true if available)
Forgetting Memories
# Preview what would be deleted (dry run)
noted forget --older-than 30d

# Actually delete old memories
noted forget --older-than 30d --force

# Delete low-importance memories
noted forget --importance-below 2 --force

# Delete by category
noted forget --category todo --older-than 7d --force

# Delete specific memory by ID
noted forget --id 42 --force

# Delete memories matching a query
noted forget --query "temporary" --force

Flags:

Flag Short Description
--older-than Delete memories older than duration (e.g., 30d)
--importance-below Delete memories below this importance level
--category -c Only delete memories in this category
--query -q Delete memories matching this text
--id Delete specific memory by ID
--force -f Actually delete (default is dry-run preview)
Exporting Notes

Export notes to files:

# Export all as markdown (default)
noted export

# Export as JSON
noted export -f json

# Export as JSON Lines (one object per line)
noted export -f jsonl

# Export to file
noted export -o backup.md

# Export notes with specific tag
noted export --tag work -f json -o work-notes.json

# Export notes since a date
noted export --since 2026-01-01 -f jsonl

Flags:

Flag Short Description
--format -f Output format: markdown, json, jsonl (default: markdown)
--output -o Output file path (default: stdout)
--tag -T Filter by tag
--since Export notes created since date (YYYY-MM-DD)

Markdown format:

---
title: "Meeting Notes"
tags: ["work", "meetings"]
created: 2026-01-29T14:30:00Z
updated: 2026-01-29T14:30:00Z
---

Discussed Q1 roadmap with the team.

JSON format:

[
  {
    "id": 1,
    "title": "Meeting Notes",
    "content": "Discussed Q1 roadmap with the team.",
    "tags": ["work", "meetings"],
    "created_at": "2026-01-29T14:30:00Z",
    "updated_at": "2026-01-29T14:30:00Z"
  }
]

JSONL format (one object per line):

{"id":1,"title":"Meeting Notes","content":"Discussed Q1 roadmap.","tags":["work"],"created_at":"2026-01-29T14:30:00Z","updated_at":"2026-01-29T14:30:00Z"}
{"id":2,"title":"Todo","content":"Buy groceries","tags":["personal"],"created_at":"2026-01-29T15:00:00Z","updated_at":"2026-01-29T15:00:00Z"}
Importing Notes

Import markdown files into noted:

# Import a single file
noted import notes/idea.md

# Import all markdown files from a directory
noted import ~/Documents/notes/

# Import recursively (include subdirectories)
noted import ~/Documents/notes/ --recursive

# Add tags to all imported notes
noted import ~/exports/ -T "imported,backup"

Flags:

Flag Short Description
--recursive -r Scan subdirectories
--tags -T Add tags to all imported notes

Supported file formats:

Files with YAML frontmatter:

---
title: "My Note"
tags: [idea, project]
---

Note content here.

Files without frontmatter use:

  1. First # Heading as title
  2. Filename (without .md) as fallback
Version Information
# Show version
noted version

# Output as JSON
noted version --json

MCP Server

noted includes an MCP (Model Context Protocol) server that exposes your knowledge base to AI agents like Claude.

Starting the Server
# Start MCP server (uses stdio transport)
noted mcp
Integration with Claude Code

Add noted to your Claude Code configuration:

# Add MCP server
claude mcp add noted -- noted mcp

# With semantic search enabled
claude mcp add noted -- env NOTED_VECLITE_PATH=~/.local/share/noted/vectors.veclite noted mcp

Or manually edit ~/.claude/settings.json:

{
  "mcpServers": {
    "noted": {
      "command": "noted",
      "args": ["mcp"],
      "env": {
        "NOTED_VECLITE_PATH": "~/.local/share/noted/vectors.veclite",
        "NOTED_EMBEDDING_MODEL": "nomic-embed-text"
      }
    }
  }
}
Available MCP Tools
Tool Description
noted_create Create a new note with title, content, and optional tags
noted_list List notes with optional tag filter and pagination
noted_get Get a note by its ID, including tags
noted_search Search notes by title and content using text matching
noted_update Update a note's title, content, or tags
noted_delete Delete a note by ID
noted_tags List all tags with their note counts
noted_semantic_search Search notes using vector similarity (requires veclite)
noted_remember Store a memory with category, importance, TTL, and source tracking
noted_recall Recall relevant memories by query with semantic or keyword search
noted_forget Delete old or low-importance memories with dry-run support
noted_sync Sync notes to the semantic search index
Memory Tools for Agents

The noted_remember, noted_recall, and noted_forget tools provide persistent memory for AI agents:

# Example: Agent stores a user preference
noted_remember(content="User prefers dark mode", category="user-pref", importance=4)

# Example: Store with TTL and source
noted_remember(content="Bug in auth flow", category="project", ttl="7d", source="code-review", source_ref="auth.go:50")

# Example: Agent recalls relevant memories
noted_recall(query="user preferences", limit=5, category="user-pref")

# Example: Clean up old memories (preview first)
noted_forget(older_than_days=30, importance_below=2, dry_run=true)

Memory categories:

  • user-pref - User preferences and settings
  • project - Project-specific information
  • decision - Design decisions and rationale
  • fact - General facts and knowledge
  • todo - Tasks and reminders

Memory features:

  • TTL (Time-to-Live): Set ttl parameter (e.g., "24h", "7d") for auto-expiring memories
  • Source tracking: Track origin with source and source_ref parameters
  • Importance levels: 1-5 scale for prioritizing memory retention
  • Lazy cleanup: Expired memories are automatically removed during recall operations

Enable semantic search to find notes by meaning, not just keywords.

Prerequisites
  1. Ollama running locally
  2. An embedding model (default: nomic-embed-text)
# Install Ollama and pull the embedding model
ollama pull nomic-embed-text
Configuration

Set the veclite database path:

export NOTED_VECLITE_PATH=~/.local/share/noted/vectors.veclite
Syncing Notes

Sync your existing notes to enable semantic search:

# Sync unsynced notes
noted sync

# Force re-sync all notes
noted sync --force

Flags:

Flag Short Description
--force -f Re-sync all notes even if already synced
Environment Variables
Variable Description Default
NOTED_VECLITE_PATH Path to veclite database (disabled)
NOTED_EMBEDDING_MODEL Ollama embedding model nomic-embed-text
OLLAMA_HOST Ollama server URL http://localhost:11434

Configuration

noted follows the XDG Base Directory Specification:

Path Description
~/.local/share/noted/noted.db SQLite database
~/.local/share/noted/vectors.veclite Vector database (optional)
Environment Variables
Variable Description
EDITOR Editor for composing notes (default: nvim)
NOTED_VECLITE_PATH Path to veclite database for semantic search
NOTED_EMBEDDING_MODEL Embedding model for semantic search
OLLAMA_HOST Ollama server URL

Architecture

noted/
├── cmd/                    # CLI commands (Cobra)
│   ├── root.go            # Root command, database lifecycle
│   ├── add.go             # Create notes
│   ├── list.go            # List notes
│   ├── show.go            # Display single note
│   ├── edit.go            # Modify notes
│   ├── delete.go          # Remove notes
│   ├── tags.go            # Tag management
│   ├── grep.go            # Search notes
│   ├── remember.go        # Store memories
│   ├── recall.go          # Search memories
│   ├── forget.go          # Delete memories
│   ├── export.go          # Export to markdown/JSON/JSONL
│   ├── import.go          # Import markdown files
│   ├── mcp.go             # MCP server command
│   ├── sync.go            # Sync to veclite
│   ├── version.go         # Version info
│   └── editor.go          # Editor integration
├── internal/
│   ├── config/            # XDG-compliant configuration
│   ├── db/                # Database layer (sqlc)
│   │   ├── schema.sql     # Database schema
│   │   ├── query.sql      # SQL queries
│   │   ├── migrate.go     # Database migration system
│   │   ├── migrations/    # SQL migration files
│   │   └── *.go           # Generated code
│   ├── memory/            # Shared memory logic
│   │   ├── types.go       # Memory types and validation
│   │   ├── remember.go    # Create memories
│   │   ├── recall.go      # Search memories
│   │   └── forget.go      # Delete memories
│   ├── mcp/               # MCP server implementation
│   │   ├── server.go      # Server setup and transport
│   │   └── tools.go       # Tool handlers
│   └── veclite/           # Semantic search integration
│       └── syncer.go      # veclite sync and search
├── main.go                # Entry point
├── Taskfile.yml           # Build tasks
└── sqlc.yaml              # sqlc configuration
Technology Stack

Development

Prerequisites
  • Go 1.21+
  • Task (optional, for build automation)
  • sqlc (for regenerating database code)
  • golangci-lint (for linting)
Build Commands
# Show available tasks
task

# Generate sqlc code
task generate

# Build binary
task build

# Run tests
task test

# Run linter
task lint

# Build and run with arguments
task dev -- list

# Install to GOPATH/bin
task install

# Clean build artifacts
task clean
Running Tests
# Run all tests
task test

# Run with verbose output
go test -v ./...

# Run specific test
go test -v ./cmd -run TestDatabaseTags

# Run MCP tests
go test -v ./internal/mcp/...

Contributing

Contributions are welcome! Please follow these steps:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Make your changes
  4. Run tests and linting (task test && task lint)
  5. Commit your changes (git commit -m 'Add amazing feature')
  6. Push to the branch (git push origin feature/amazing-feature)
  7. Open a Pull Request
Code Style
  • Run gofmt on all code
  • Follow Effective Go guidelines
  • Add tests for new functionality
  • Update documentation for user-facing changes

License

MIT License - see LICENSE for details.

Acknowledgments

Built with:

Documentation

Overview

Copyright © 2026 NAME HERE <EMAIL ADDRESS>

Source Files

View all Source files

Directories

Path Synopsis
internal
config
db
mcp
memory
veclite
web

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