How do I see what happened in a previous session?

You can use the `trekker history` command to view a complete audit trail of changes, or `trekker search` to find specific context from previous task comments.

Can I use Trekker for complex projects with dependencies?

Yes, Trekker supports epics and subtasks, and includes a dependency system (`trekker dep add`) to ensure blockers are resolved before tasks are started.

Is Trekker safe for concurrent use?

Trekker uses SQLite with Write-Ahead Logging (WAL) to ensure multi-instance safety, allowing multiple agent instances to interact with the database concurrently.

Why should I use the --toon flag?

The --toon flag provides a programmatic, minimized output format that is highly token-efficient, saving cost and context space when listing many tasks.

How does Trekker differ from the built-in TodoWrite skill?

TodoWrite is conversation-scoped and loses state when context resets. Trekker uses a persistent SQLite database that survives across multiple sessions and terminal restarts.

Trekker

Name: Trekker
Author: obsfx

byobsfx

Productivity & Workflow

Manages persistent task memory and issue tracking for AI agents across multiple sessions using a SQLite database.

About

Trekker is a robust issue-tracking system designed specifically for AI agents, providing a persistent memory layer for complex, multi-session development projects. Unlike conversation-scoped tools, Trekker stores tasks, epics, and subtasks in a local SQLite database, allowing agents to recover context, track progress, and manage dependencies even after a terminal reset or session timeout. By maintaining a detailed audit log and full-text search capabilities, it ensures that project history is never lost, preventing duplicate efforts and facilitating seamless handoffs between AI interactions.

Key Features

Full-text search for recalling past decisions, code changes, and investigation notes
Detailed history and audit trails to track changes across sessions
0 GitHub stars
Hierarchical task management including Epics, Tasks, and Subtasks
Persistent SQLite storage for multi-session task and context retention
Token-efficient programmatic output mode via the --toon flag

Use Cases

Managing project milestones and feature dependencies for long-term coding tasks
Documenting bug investigations and architectural decisions for future AI agents
Resuming complex development workflows across multiple AI context resets

About

Key Features

Full-text search for recalling past decisions, code changes, and investigation notes
Detailed history and audit trails to track changes across sessions
0 GitHub stars
Hierarchical task management including Epics, Tasks, and Subtasks
Persistent SQLite storage for multi-session task and context retention
Token-efficient programmatic output mode via the --toon flag

Use Cases

Managing project milestones and feature dependencies for long-term coding tasks
Documenting bug investigations and architectural decisions for future AI agents
Resuming complex development workflows across multiple AI context resets