a year ago
research-and-dataResearcher for AI Coding that analyzes task complexity and runs deep research (STORM) to decompose complex tasks into subtasks, as an MCP Server or CLI.
Overview
What is Task Researcher?
Task Researcher is a Python-based task management system designed for AI-driven development, which analyzes task complexity and performs in-depth research to decompose complex tasks into manageable subtasks.
How to use Task Researcher?
To use Task Researcher, clone the repository, install the required dependencies, and run the command-line interface (CLI) to generate tasks, analyze complexity, or perform research.
Key features of Task Researcher?
- Parse inputs from project specification files to generate initial tasks.
- Expand tasks into subtasks using AI and the STORM research engine.
- Analyze task complexity and generate reports with recommendations.
- Validate and fix dependency issues automatically.
- Generate detailed research reports on various topics.
Use cases of Task Researcher?
- Breaking down complex software development projects into manageable tasks.
- Automating research for project implementation details.
- Managing dependencies and ensuring project structure integrity.
FAQ from Task Researcher?
- Can Task Researcher handle all types of projects?
Yes! It is designed to work with various project specifications and can adapt to different workflows.
- Is Task Researcher free to use?
Yes! Task Researcher is open-source and free for everyone to use.
- What are the system requirements?
You need Python 3.10+, an API key for a supported LLM provider, and the knowledge-storm library.