dzhng/deep-research
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the simplest implementation of a deep research agent - e.g. an agent that can refine its research direction overtime and deep dive into a topic.
Star & Fork Trend (33 data points)
Multi-Source Signals
Growth Velocity
dzhng/deep-research has +3 stars this period . 7-day velocity: 0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | deep-research | agents-towards-production | DeepResearch | adk-python |
|---|---|---|---|---|
| Stars | 18.7k | 18.7k | 18.6k | 18.8k |
| Forks | 1.9k | 2.5k | 1.4k | 3.2k |
| Weekly Growth | +3 | +17 | +3 | +25 |
| Language | TypeScript | Jupyter Notebook | Python | Python |
| Sources | 1 | 1 | 3 | 2 |
| License | MIT | NOASSERTION | Apache-2.0 | Apache-2.0 |
Capability Radar vs agents-towards-production
Last code push 212 days ago.
Fork-to-star ratio: 10.3%. Active community forking and contributing.
Issue data not yet available.
+3 stars this period — 0.02% growth rate.
Licensed under MIT. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.