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NeuroForge
One AI OS, six specialized agents for every workflow
NeuroForge AI is a multi-agent AI OS for real engineering & knowledge work. Six agents: Engineer AI (LangGraph Planner→Coder→Tester→Debugger), Research AI, Education AI, Automation AI, Conversational AI, plus an Admin/RAG Studio with org-level knowledge isolation (ChromaDB + Gemini embeddings). Built with FastAPI, LangChain, LangGraph, MongoDB, Groq, Docker. One unified OS instead of five separate tools. Built solo — would love feedback on agent orchestration & RAG design!
Hey Product Hunt! 👋
I'm a final-year CS student, and I built NeuroForge AI because I kept noticing the same problem: every "AI agent" tool I used was good at exactly one thing — coding, or research, or chat, or search — but real work usually needs several of these together. I got tired of stitching together five different tools for one workflow.
So I set out to build a single AI OS with specialized agents underneath instead. Engineer AI started as a simple code generator, but I quickly ran into reliability issues — so I rebuilt it as a proper LangGraph pipeline: Planner → Coder → Tester → Debugger, where each stage checks the previous one's work instead of trusting one giant prompt to get it right in one shot.
The RAG Studio was the hardest part to get right. Early versions leaked context between different knowledge bases, which is a dealbreaker for any real org use case. I ended up redesigning it around org-level isolation with document hash tracking so each organization's data stays fully separate, using ChromaDB + Gemini embeddings.
This was built solo, mostly as a way to really understand agent orchestration and secure RAG design hands-on — the kind of system-level thinking I think GenAI/Agentic AI engineering roles are increasingly looking for.
Would love your feedback — especially if you spot rough edges, or have thoughts on the agent orchestration approach. Happy to answer any questions about the architecture!
About NeuroForge on Product Hunt
“One AI OS, six specialized agents for every workflow ”
NeuroForge was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #50 on the daily leaderboard. NeuroForge AI is a multi-agent AI OS for real engineering & knowledge work. Six agents: Engineer AI (LangGraph Planner→Coder→Tester→Debugger), Research AI, Education AI, Automation AI, Conversational AI, plus an Admin/RAG Studio with org-level knowledge isolation (ChromaDB + Gemini embeddings). Built with FastAPI, LangChain, LangGraph, MongoDB, Groq, Docker. One unified OS instead of five separate tools. Built solo — would love feedback on agent orchestration & RAG design!
On the analytics side, NeuroForge competes within SaaS, Artificial Intelligence and Tech — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how NeuroForge performed against the three products that launched closest to it on the same day.
Who hunted NeuroForge?
NeuroForge was hunted by Ydv Himanshu. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of NeuroForge including community comment highlights and product details, visit the product overview.
Ydv Himanshu