File-based task management for AI agents with human-editable markdown storage.
Project description
Welcome to shai_tix Documentation
File-based task management for AI agents with human-editable markdown storage.
What is shai_tix?
shai_tix is a JIRA-like project management system designed for AI agents. Instead of clicking through web UIs, AI agents (like Claude Code) use simple CLI commands to manage your project. You just tell the AI what you want in natural language, and it handles creating stories, tracking tasks, and updating status.
Key Benefits:
Voice-Driven Project Management: Tell your AI agent “create a story for user authentication with three tasks”, and it’s done
100% Git-Friendly: All data lives in markdown files - track changes, review history, merge conflicts like code
Zero Vendor Lock-in: Plain files mean easy migration - no database exports, no API migrations
Human-Editable: Browse and edit .tix/ directory directly when needed
Why Not Just Use JIRA/Trello/etc?
Traditional project management tools are designed for humans clicking through UIs. When AI agents need to manage tasks, they face:
Complex APIs with authentication and rate limits
Heavyweight dependencies and network latency
Data locked in proprietary formats
shai_tix solves this by storing everything as local files:
AI agents use fast CLI commands with instant response
Humans get readable markdown they can edit anywhere
Git provides version control, history, and collaboration for free
Design Philosophy
Dual Storage Architecture
Filesystem (Source of Truth): Human-readable directories and markdown files
SQLite Index (Cache): Fast queries without scanning directories
Simple Two-Level Hierarchy
Story (Feature or Epic) └── Task (Atomic work unit)
No deep nesting. If a task needs subtasks, promote it to a story.
CLI Commands Overview
Story Management
create_story: Create a new story (epic/feature)
get_story: View story details including description and report
list_stories: List all stories, newest first
search_stories: Find stories by title, status, date, or ID range
update_story: Update story title, status, description, or report
delete_story: Delete a story and all its tasks
Task Management
create_task: Create a task under a story
get_task: View task details including description and report
list_tasks: List all tasks, newest first
list_tasks_by_story: List tasks under a specific story
search_tasks: Find tasks by title, status, date, or ID range
update_task: Update task title, status, description, or report
delete_task: Delete a task
Index Management
rebuild_index_db: Sync SQLite index with filesystem (call before batch queries)
Quick Start
For AI Agents (CLI):
# Create a story and tasks shai-tix create_story "User Authentication" --description "Implement login/logout" shai-tix create_task 1 "Create login form" shai-tix create_task 1 "Add session management" # Query and update shai-tix list_stories shai-tix search_tasks --status TODO shai-tix update_task 2 --status IN_PROGRESS shai-tix update_task 2 --status COMPLETED --report "Login form implemented with validation"
For Humans (File System):
.tix/
├── index.sqlite # Fast query index (auto-generated)
└── stories/
└── story-2025-01-15-00001-user-authentication/
├── metadata.json # {"status": "IN_PROGRESS"}
├── description.md # Story description (editable)
├── report.md # Completion report (optional)
└── tasks/
└── task-2025-01-15-00002-create-login-form/
├── metadata.json # {"status": "COMPLETED"}
├── description.md # Task description
└── report.md # Task completion report
Status Values
TODO: Not started
IN_PROGRESS: Currently being worked on
COMPLETED: Finished
BLOCKED: Blocked by external dependencies
CANCELED: Canceled
Install
shai_tix is released on PyPI, so all you need is to:
$ pip install shai-tix
To upgrade to latest version:
$ pip install --upgrade shai-tix
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