Clawmarks

Clawmarks

Enables LLM agents to create annotated bookmarks and narrative trails to document code exploration and decision-making. It organizes these bookmarks into a navigable knowledge graph stored in a local JSON file, helping users track the context and reasoning behind code changes.

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README

<p align="center"> <img src="logo.png" alt="Clawmarks" width="128" height="128"> </p>

<h1 align="center">Clawmarks</h1>

<p align="center"> Storybook-style annotated bookmarks for code exploration. </p>

<p align="center"> <a href="https://www.npmjs.com/package/clawmarks"><img src="https://img.shields.io/npm/v/clawmarks.svg" alt="npm version"></a> <a href="https://www.npmjs.com/package/clawmarks"><img src="https://img.shields.io/npm/dm/clawmarks.svg" alt="npm downloads"></a> <a href="https://github.com/mrilikecoding/clawmarks/blob/main/LICENSE"><img src="https://img.shields.io/npm/l/clawmarks.svg" alt="license"></a> <a href="https://nodejs.org"><img src="https://img.shields.io/node/v/clawmarks.svg" alt="node version"></a> </p>

The Problem

Working with an LLM agent on a complex problem often means iterating across multiple files, considering alternatives, making decisions, and building understanding over time. But when the conversation ends, you're left with a wall of chat history and modified files—no clear trail of where you went and why.

Clawmarks solves this by letting agents drop annotated bookmarks as they work. These clawmarks capture the narrative of your exploration: decision points, open questions, alternatives considered, and how they all connect. The result is a navigable map of your coding session, not just a transcript.

What It Does

Clawmarks is an MCP server that gives LLM agents tools to create annotated bookmarks in your codebase. Clawmarks are organized into trails (narrative journeys), can reference each other (knowledge graph style), and are stored in a simple JSON file that any editor can consume.

Each clawmark captures:

  • Where - File, line, column
  • What - An annotation explaining why this location matters
  • Type - Decision, question, change needed, alternative approach, etc.
  • Connections - References to other clawmarks (knowledge graph edges)
  • Context - Tags and trail groupings

Quick Start

  1. Install globally:

    npm install -g clawmarks
    
  2. Add .clawmarks.json to your global gitignore (one-time setup):

    echo ".clawmarks.json" >> ~/.gitignore_global
    git config --global core.excludesfile ~/.gitignore_global
    
  3. Add the MCP server:

    Option A: Claude CLI (recommended)

    claude mcp add --scope user clawmarks -- clawmarks mcp
    

    Option B: Manual configuration

    Add to your project's .mcp.json:

    {
      "mcpServers": {
        "clawmarks": {
          "command": "clawmarks",
          "args": ["mcp"]
        }
      }
    }
    

The server stores .clawmarks.json in the current working directory. To override the project root:

claude mcp add --scope user clawmarks -- clawmarks mcp --env CLAWMARKS_PROJECT_ROOT=/path/to/project

Or in .mcp.json:

{
  "mcpServers": {
    "clawmarks": {
      "command": "clawmarks",
      "args": ["mcp"],
      "env": {
        "CLAWMARKS_PROJECT_ROOT": "/path/to/project"
      }
    }
  }
}

MCP Tools

Trail Management

Tool Description
create_trail Create a new trail to organize related clawmarks
list_trails List all trails (optionally filter by status)
get_trail Get trail details with all its clawmarks
archive_trail Archive a completed trail

Clawmark Management

Tool Description
add_clawmark Add an annotated bookmark at a file location
update_clawmark Update clawmark metadata
delete_clawmark Remove a clawmark
list_clawmarks List clawmarks with optional filters

Knowledge Graph

Tool Description
link_clawmarks Create a reference from one clawmark to another
unlink_clawmarks Remove a reference
get_references Get all clawmarks connected to a clawmark
list_tags List all tags used across clawmarks

Clawmark Types

  • decision - A decision point that was made
  • question - Open question needing resolution
  • change_needed - Code that needs modification
  • reference - Reference point (existing code to understand)
  • alternative - Alternative approach being considered
  • dependency - Something this depends on

Data Format

Clawmarks stores data in .clawmarks.json:

{
  "version": 1,
  "trails": [
    {
      "id": "t_abc123",
      "name": "Auth Refactor Options",
      "description": "Exploring JWT vs session-based auth",
      "status": "active",
      "created_at": "2025-12-17T10:30:00Z"
    }
  ],
  "clawmarks": [
    {
      "id": "c_xyz789",
      "trail_id": "t_abc123",
      "file": "src/auth/handler.ts",
      "line": 42,
      "column": 8,
      "annotation": "Current session logic - could replace with JWT",
      "type": "alternative",
      "tags": ["#security", "#breaking-change"],
      "references": ["c_def456"],
      "created_at": "2025-12-17T10:31:00Z"
    }
  ]
}

Editor Integrations

The .clawmarks.json file is designed to be consumed by any editor or tool.

Editor Plugin
Neovim clawmarks.nvim
VS Code Coming soon
Emacs Contributions welcome

Example Usage

In a conversation with your LLM agent:

"Let's explore two approaches to refactoring the auth system. Can you create a trail and mark the key decision points?"

The agent will:

  1. Create a trail called "Auth Refactor Options"
  2. Add clawmarks at relevant code locations
  3. Link related clawmarks together
  4. Tag clawmarks with relevant concerns

You can then browse these clawmarks in your editor to revisit the exploration's journey through your code.

License

MIT

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