u/AnshMNSoni

A lot of people use ChatGPT daily but still don’t understand what makes AI agents fundamentally different — especially when it comes to memory, planning, tool usage, and autonomous execution.

I tried to explain the concepts in a simple and beginner-friendly way.

Would genuinely appreciate feedback from this community:
https://medium.com/@anshsoni702/they-called-it-just-a-chatbot-they-were-wrong-1da0f85ddba4

Thankyou.

Hey everyone,

PythonSTL recently crossed 3000+ downloads, and I’m genuinely happy to see people using it.

I’ve open-sourced the project and added a few issues for anyone interested in contributing or exploring the codebase.

GitHub Link: https://github.com/AnshMNSoni/PythonSTL.git

Would love to hear feedback or suggestions from the community. Thanks a lot :)

https://preview.redd.it/ekkso6zyuf1h1.png?width=1477&format=png&auto=webp&s=06a4d1b7fecb9d3fcc10e33bcfcfeb0e0e876843

Instead of building a traditional search engine with indexed data, I tried something different:

👉 Fetch data live from APIs and distribute processing

So I built this system:

• Gateway fetches data from Wikipedia and Stack Overflow
• Splits content into chunks
• Sends chunks to multiple worker nodes
• Nodes process data in parallel
• Gateway aggregates results

Stack:

• FastAPI
• Docker
• Async requests (httpx, asyncio)

Challenges I faced:

• Handling async failures
• Node communication issues
• Aggregating partial results
• Debugging distributed behavior

Now I’m working on:

• Scaling beyond a single machine
• Dynamic node discovery
• Better ranking

Visit GitHub: https://github.com/AnshMNSoni/Disee.git

Curious:

👉 Would you index this data instead, or keep it real-time?

>

Thankyou.

Distributed Search Engine