Divyansh Agrawal

Divyansh Agrawal

Building Cerno
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Tastemaker
Tastemaker
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Maker History

  • Memlayer
    MemlayerThe plug-and-play memory layer for smart, contextual agents
    Nov 2025
  • Cerno Insight
    Cerno InsightAI-powered retrieval turning your docs into clear knowledge.
    Nov 2025
  • Insights
    InsightsThe Intelligence Layer for Your Codebase
  • Cerno
    CernoLocal-first AI research with transparent research workflows
    Jun 2025
  • 🎉
    Joined Product HuntJune 10th, 2025

Forums

SecureShell - Plug-and-Play terminal gatekeeper for LLM agents

SecureShell is a zero-trust execution layer for LLM agents with shell access. It prevents prompt-injection-driven command execution, enforces safety policies, and provides structured feedback for self-correcting agents. Plug-and-play with LangChain, MCP, all major providers and local agent on Ollama and llama.cpp.

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.
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