NestBot AI Assistant - Call for Contributors

[arkid15r]

During GSoC 2025 we built the initial MVP of NestBot, and now we want to make it production ready. We are looking for contributors with previous experience building AI bots or MCP servers.

Our goal is to bring in 1-3 impactful contributors who understand what they are doing and can help us deliver NestBot AI Assistant capabilities to the OWASP community.

If you're interested, please share links to your previous work or contributions. If you don't have practical experience, links to relevant course completion certificates are welcome. Theoretical knowledge is still better than nothing.

Please contact project leaders here, in #project-nest or via PM.

[yashgoyal0110]

I had AI/ML course this year in my college semester and have learned how to work with GenAI and n8n other than that i have build several projects using classical ML and deep learning.
so what actually do we want to achieve here?
will love to contribute to this

[arkid15r]

The idea described here and partially implemented by the PRs I referenced above.

The project is somewhat overdue -- that's why we'd prefer more experienced contributors. I'll keep you in mind @yashgoyal0110 👍

[yashgoyal0110]

Ok thanks!

[mrkeshav-05]

Hi @arkid15r ,

I have practical experience building exactly this type of architecture. I recently developed AiSearch, a production-grade AI search engine that mirrors the core requirements for NestBot (context-aware retrieval, streaming responses, and agentic workflows).

A quick snapshot of what I’ve worked on:
Tech stack: TypeScript Monorepo (Node.js/Express + Next.js) with Docker orchestration.
AI/agent logic: Implements multi-agent systems (Web, Academic, Video agents) with LLM integration (Gemini/OpenAI).
Real-time: Handles streaming responses via WebSockets for instant user feedback.
Context layer: Integrates SearXNG (Open Source search engine) for privacy-focused, citation-rich context retrieval.

project link: https://github.com/mrkeshav-05/AiSearch

[arkid15r]

DMed you in Slack.

[Shofikul-Isl4m]

Hello @arkid15r ,
I’ve been learning about AI agents, agentic RAG, chunking strategies, and related concepts largely through self-guided study on YouTube, with content from instructors like Cole Medin. While I don’t have formal certificates, I’ve gained practical understanding of how these systems work and I’m eager to apply that knowledge in a real-world project like NestBot.

I’m also open and excited to learn new tools and frameworks as needed for the project.

I’d be happy to discuss how I can contribute, whether it’s helping with agent design, RAG implementation, or other development tasks. Let me know if there’s a next step you’d recommend.

Looking forward to hearing from you.

[arkid15r]

DMed in Slack as well, thanks for your willingness to help with this @Shofikul-Isl4m

[anurag2787]

Hy @arkid15r
I’ve been learning about AI agents, agentic RAG and related stuff and I’ve also worked on a project called RagMind that overlaps with what NestBot is aiming for. It includes an intent-aware RAG pipeline, an AI-powered web crawler, a FastAPI backend, and Pinecone for hybrid vector search. I’ve also integrated Llama models for chat responses with conversational memory and dynamic routing.

Repo: https://github.com/anurag2787/RagMind

I’d be happy to contribute to this project.

[arkid15r]

DMed as well.

[adityay72]

Hi @arkid15r ,

I'm interested in contributing to NestBot. I recently built an MVP of an AI-powered Telegram bot that handles customer service workflows. It uses function calling for structured data access, implements conversational multi-step forms, and triggers automated workflows through n8n.

Tech stack:
Backend: TypeScript monorepo (Node.js/Express) with a Dockerized setup
AI Integration: OpenAI GPT-4 with function calling and a tool-based execution layer (MCP-style)
Automation: n8n workflows for Google Sheets logging and email notifications
UX: Conversational form engine with edit/review/cancel capabilities

Repo: https://github.com/adityay72/WeenBot

I'd love to learn from the team and contribute wherever I can add value.

[arkid15r]

Replied in Slack 👍