Trekker

A CLI issue tracker built for AI coding agents. Stores tasks, epics, and dependencies in a local SQLite database. No server required.

Prerequisites

Trekker requires Bun runtime. It uses bun:sqlite for database operations. This is a deliberate choice: bun:sqlite is significantly faster than Node.js SQLite drivers, making CLI operations feel instant.

Install Bun:

# macOS/Linux
curl -fsSL https://bun.sh/install | bash

# Windows
powershell -c "irm bun.sh/install.ps1 | iex"

# Or via npm
npm install -g bun

Install

bun install -g @obsfx/trekker

Or with npm:

npm install -g @obsfx/trekker

Claude Code Plugin

Install the trekker-claude-code plugin for seamless integration with Claude Code:

claude plugin marketplace add obsfx/trekker-claude-code
claude plugin install trekker

This gives Claude Code native access to Trekker through 26 MCP tools, 13 slash commands, 7 skills, 5 lifecycle hooks, and an autonomous task agent.

Key features:

• Persistent task memory across sessions via SQLite
• Search-first workflow to restore context
• 7 skills for guided workflows and best practices
• 5 lifecycle hooks for automatic state management
• Autonomous task agent for discovery and completion
• Blocks internal TaskCreate/TodoWrite — enforces Trekker
• Multi-instance safe with conflict handling

See the plugin repository for the full list of slash commands, hooks, skills, and agent details.

Why Trekker

AI coding agents work better when they can track their own progress. A simple CLI-based task manager keeps them on the right path across sessions.

I built this after using beads for a while. Beads does the job, but its codebase has grown quickly without enough care for what is happening inside. A task tracker is a simple application. It should not need thousands of lines of code.

My concerns about the future and security of that project led me here. Trekker is my simplified alternative.

What you get:

• Task and epic tracking with dependencies
• Ready command to find unblocked tasks and see what they unblock
• Full-text search across tasks, epics, subtasks, and comments
• Unified list view with filtering by type, status, priority, and custom sorting
• Optional kanban board UI available as a separate package
• No special directory required. The .trekker folder stays local to your project.
• No hook integrations. Just task management.

I built this with AI assistance, but I did it for myself. That means I put enough care into it to make it reliable for my own work.

Quick Start

Initialize Trekker in your project:

trekker init

Create an epic for your feature:

trekker epic create -t "User Authentication" -d "JWT-based auth with login and registration"

Add tasks to the epic:

trekker task create -t "Create user model" -e EPIC-1
trekker task create -t "Build login endpoint" -e EPIC-1
trekker task create -t "Build registration endpoint" -e EPIC-1

Set dependencies between tasks:

trekker dep add TREK-2 TREK-1
trekker dep add TREK-3 TREK-1

See what is ready to work on:

trekker ready

Update task status as you work:

trekker task update TREK-1 -s in_progress
trekker task update TREK-1 -s completed

Commands

Project

trekker init              # Initialize in current directory
trekker wipe              # Delete all data
trekker quickstart        # Show full documentation

Epics

trekker epic create -t <title> [-d <desc>] [-p <0-5>] [-s <status>]
trekker epic list [--status <status>] [--limit <n>] [--page <n>]
trekker epic show <epic-id>
trekker epic update <epic-id> [options]
trekker epic complete <epic-id>  # Complete epic and archive all tasks/subtasks
trekker epic delete <epic-id>

Tasks

trekker task create -t <title> [-d <desc>] [-p <0-5>] [-s <status>] [--tags <tags>] [-e <epic-id>]
trekker task list [--status <status>] [--epic <epic-id>] [--limit <n>] [--page <n>]
trekker task show <task-id>
trekker task update <task-id> [options]
trekker task delete <task-id>

Subtasks

trekker subtask create <parent-id> -t <title> [-d <desc>] [-p <0-5>] [-s <status>]
trekker subtask list <parent-id> [--limit <n>] [--page <n>]
trekker subtask update <subtask-id> [options]
trekker subtask delete <subtask-id>

Comments

trekker comment add <task-id> -a <author> -c <content>
trekker comment list <task-id> [--limit <n>] [--page <n>]
trekker comment update <comment-id> -c <content>
trekker comment delete <comment-id>

Dependencies

trekker dep add <task-id> <depends-on-id>
trekker dep remove <task-id> <depends-on-id>
trekker dep list <task-id>

Ready

Show tasks that are ready to work on — unblocked and in todo status. For each ready task, shows downstream dependents that will be unblocked once it is completed:

trekker ready [--limit <n>] [--page <n>]

Example output:

2 ready task(s):

TREK-1 | P0 | Setup database
  -> unblocks TREK-2 | todo        | P1 | Build API layer
  -> unblocks TREK-3 | todo        | P1 | Build UI layer
TREK-4 | P2 | Write docs

Tasks are sorted by priority (critical first). A task is considered ready when:

• Status is todo
• It is a top-level task (not a subtask)
• All its dependencies are resolved (completed, wont_fix, or archived)

Search

Full-text search across epics, tasks, subtasks, and comments using FTS5:

trekker search <query> [--type <types>] [--status <status>] [--limit <n>] [--page <n>]

Examples:

trekker search "authentication"                          # Search all entities
trekker search "bug fix" --type task,subtask             # Search only tasks and subtasks
trekker search "login" --type comment --status completed # Search comments in completed items

History

View audit log of all changes (creates, updates, deletes):

trekker history [--entity <id>] [--type <types>] [--action <actions>] [--since <date>] [--until <date>]

Examples:

trekker history                                  # All events
trekker history --entity TREK-1                  # Events for specific entity
trekker history --type task --action update      # Only task updates
trekker history --since 2025-01-01 --limit 20    # Events after date

List

Unified view of all epics, tasks, and subtasks:

trekker list [--type <types>] [--status <statuses>] [--priority <levels>] [--sort <fields>]

Examples:

trekker list                                     # All items, newest first
trekker list --type task --status in_progress    # Active tasks only
trekker list --priority 0,1 --sort priority:asc  # Critical/high priority first
trekker list --sort title:asc,created:desc       # Sort by title, then by date

Web Interface

For a visual kanban board, install the separate dashboard package:

npm install -g @obsfx/trekker-dashboard
trekker-dashboard -p 3000  # Start dashboard on port 3000

The dashboard shows tasks grouped by status and reads from the same .trekker/trekker.db database.

TOON Output

Add the --toon flag to any command for structured output in TOON format. TOON is a token-efficient serialization format designed for AI agents, using fewer tokens than JSON while remaining machine-readable:

trekker --toon task list
trekker --toon task show TREK-1

Status Values

Tasks: todo, in_progress, completed, wont_fix, archived

Epics: todo, in_progress, completed, archived

Priority Scale

• 0: Critical
• 1: High
• 2: Medium (default)
• 3: Low
• 4: Backlog
• 5: Someday

ID Formats

• Epics: EPIC-1, EPIC-2
• Tasks: TREK-1, TREK-2
• Comments: CMT-1, CMT-2

All list commands default to 50 items per page, sorted by newest first. Use --limit and --page to paginate through large result sets.

Development

bun install                   # Install dependencies
bun run dev                   # Run CLI from source
bun run dev <command>         # Run a specific command
bun test                      # Run all tests
bun run lint                  # ESLint check
bun run format:check          # Prettier check
bun run check                 # Both lint and format

Data Storage

Trekker creates a .trekker directory in your project root containing trekker.db. Add .trekker to your .gitignore if you do not want to track it in version control.

For AI Agents

Run trekker quickstart to see the full guide with best practices for creating atomic tasks, writing good descriptions, and managing dependencies.

How I Use It

This is my personal workflow for getting the most out of Trekker with AI agents:

• Install the Claude Code plugin. I use trekker-claude-code to give Claude Code direct access to Trekker through MCP. This way, the agent manages tasks natively without running CLI commands.

• Always mention Trekker in prompts. I include "use trekker" in my instructions so the agent knows to track its work.

• Point agents to the quickstart. I tell the agent it can run trekker quickstart to learn how to use Trekker properly. This gives it all the context it needs without me having to explain everything.

• Use the dashboard for visibility. I run trekker-dashboard to visually track what the agent is doing. It shows tasks on a kanban board and auto-refreshes, so I can monitor progress in real-time.

Example prompt snippet:

Use trekker to track your work. Run `trekker quickstart` if you need to learn how it works.

License

MIT