Divyansh Agrawal

Divyansh Agrawal

Building Cerno
AgnoDjangoReact

Forums

Memlayer - The plug-and-play memory layer for smart, contextual agents

MemLayer: The plug-and-play memory layer for smart, contextual LLMs. MemLayer captures key information from conversations, stores it persistently, and retrieves exactly what your model needs to stay consistent and contextual. Works with any LLM. Build smarter agents in minutes, without managing your own memory system - plus an ML-based extraction module to filter and enhance what gets stored.

Cerno Insight - AI-powered retrieval turning your docs into clear knowledge.

Cerno Insight is a RAG-powered AI platform for multi-format document processing, including PDFs, Office files, text, HTML, and images via OCR. It offers intelligent triage modes for efficient handling of small and large documents. Features hybrid search (BM25 + FAISS), GPU-accelerated reranking, query expansion, multi-language support, and batch processing. Built on FastAPI, it leverages Gemini LLMs, embeddings, and optimized caching for high-performance, scalable retrieval and analysis.

Helix v1.0 - Auto‑generated documentation, tests and code intelligence

Helix AI auto‑generates living documentation from your codebase. Fast, interactive, and always up‑to‑date. Check out the released version on GitHub!

Helix - The Intelligence Layer for Your Codebase

Helix transforms codebase management with AI-powered docs, test generation & execution, smart refactors, visual dependency graphs, and runtime insights—helping teams onboard faster, refactor confidently, and ship high-quality code. Join the waitlist now.

Cerno - Local-first AI research with transparent research workflows

Cerno is a local-first research platform using agentic AI to decompose complex queries into verifiable, multi-step workflows. Switch between cloud and local models, trace every reasoning step, and optimize costs—all while keeping data on your machine.