riveeji/SignalDesk-deep-searching

面向 AI / Agent 技术选型场景的深度研究系统,支持问题澄清、多源搜证、引用回链、证据覆盖校验与报告导出。

20
/ 100
Experimental

SignalDesk is a deep research system designed for professionals evaluating AI and Agent technologies. It takes a research question, clarifies its scope, gathers evidence from multiple sources like GitHub and academic databases, and produces a structured report with citations, evidence coverage, and confidence levels. This tool is ideal for product managers, technical leads, or strategists who need thorough, verifiable insights to make informed technology adoption decisions.

Use this if you need to conduct in-depth, verifiable research into AI or Agent technologies for selection, evaluation, or strategic planning, moving beyond simple summaries to a full evidentiary process.

Not ideal if you're looking for quick, single-answer summaries without the need for detailed source tracing or comprehensive evidence validation.

AI-strategy technology-evaluation technical-due-diligence market-research product-management
No License No Package No Dependents
Maintenance 13 / 25
Adoption 6 / 25
Maturity 1 / 25
Community 0 / 25

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Stars

22

Forks

Language

Python

License

Category

research-agent

Last pushed

Apr 05, 2026

Commits (30d)

0

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