Active Agentic AI work spans four areas: agent design patterns, tool use and function calling, multi-agent orchestration, and observability and safety. Below is a curated list of Agentic AI experts driving those areas.
| Avatar | Name | GitHub | Notable Contributions† |
|---|---|---|---|
 |
Shubham Saboo | @Shubhamsaboo | Maintains awesome-llm-apps |
 |
Andrej | @karpathy | Maintains autoresearch |
 |
Mario Zechner | @badlogic | pi contributor |
 |
Magnus Müller | @MagMueller | browser-use contributor |
 |
Nicolas | @nickscamara | firecrawl contributor |
 |
Nick Sweeting | @pirate | browser-use contributor |
 |
Henry Heng | @HenryHengZJ | Flowise contributor |
 |
Gergő Móricz | @mogery | firecrawl contributor |
 |
Xubin Ren | @Re-bin | nanobot contributor |
 |
Adish M | @adishM98 | ToolJet contributor |
 |
Navaneeth Pk | @Navaneeth-pk | ToolJet contributor |
 |
Johnson Cherian | @johnsoncherian | ToolJet contributor |
 |
Arjun Ghosh | @arjunghosh | Independent Agentic AI consultant |
 |
Mahmoud Zalt | @Mahmoudz | Independent Agentic AI consultant |
† This is not a ranking — the order doesn't reflect quality or experience.
Together, these Agentic AI experts shape the project's roadmap and surrounding ecosystem.
AI & Machine Learning: OpenCV · Deep Learning · Computer Vision · TensorFlow · LlamaIndex · LangGraph · Claude
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