Description
Zorp is a research agent focused on scientific discovery, offering a structured approach to turning uncertain questions into defensible answers. It emphasizes the importance of evidence, transforming a question into a pre-registered investigation, an evidence record, and a report where every claim is traceable. This approach is not limited to academic research but extends to technical decisions, competitive analyses, investment theses, due diligence packages, and market questions.
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The core of Zorp's methodology is the Kill Threshold, a predefined criterion that determines what would invalidate an investigation. This threshold is committed to a file and stored in a version control system before any evidence is gathered, ensuring the integrity of the research process. Zorp operates as a terminal agent with a browser interface, allowing users to install it, select a model, and conduct investigations in a chat window that retains artifacts alongside conversations.
Zorp is currently in its pre-alpha stage, with its execution harness, research foundation, and capabilities such as validation, investigation, co-writing, and delivery already built and tested. It is developed by Aviskaar, an applied AI research lab, and is available under the MIT license. The tool is designed for those who require a rigorous and accountable research process, providing a solution to the gap left by traditional language models that offer fluent but unsubstantiated answers.
While Zorp is still early in its development, it promises to be a valuable tool for researchers, analysts, and decision-makers who need to ensure their findings are grounded in verifiable evidence. Its ability to work with local models ensures privacy and security, as no data leaves the machine during the investigation process.
- CategoryAI Research Assistants
- Pricing ModelOpen source
- DeploymentRuns locally
- PlatformsWeb
zorp's Core Features
Pre-registered investigations
Evidence-backed reports
Kill Threshold for validation
Terminal agent with browser interface
Local model compatibility
Version control integration
MIT licensed
Developed by Aviskaar
How to use zorp?
Install: Set up Zorp on your system
Configure: Choose a model to work with
Run: Conduct investigations through the chat interface
Review: Analyze the evidence-backed report
zorp's Use Cases
- Academic Research
- Technical Decision Making
- Competitive Analysis
- Investment Thesis
- Due Diligence
