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@Cerno-AI

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divagr18/README.md

I build systems that push what AI can actually do in production.

AI engineer focused on backend architecture, inference infrastructure, and agent systems across distributed/cloud environments. Most people build on top of models. I work on the layer underneath.

Work: inference infra (routing, caching, performance) · agent systems (state, long-running execution) · backend/cloud (distributed systems, observability) · applied AI (finance, compliance, pipelines)

How I think: systems > demos · constraints > abstractions · leverage > features

Links: GitHub https://github.com/divagr18 · LinkedIn https://linkedin.com/in/divyansh-agrawal-b418b0241 · Email keshav.r.1925@gmail.com

Open to opportunities, consulting, and collaborations in AI infrastructure, agent systems, and distributed systems.

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  1. memlayer memlayer Public

    Plug-and-play memory for LLMs in 3 lines of code. Add persistent, intelligent, human-like memory and recall to any model in minutes.

    Python 290 32

  2. Hyperion-HQ/Hyperion Hyperion-HQ/Hyperion Public

    Ultra-low-latency LLM gateway with microsecond caching, dynamic routing, budgets, analytics, and forecasting.

    Go 17 3

  3. Cerno-AI/Cerno-Agentic-Local-Deep-Research Cerno-AI/Cerno-Agentic-Local-Deep-Research Public

    Cerno is a local-first research platform that leverages agentic AI to break down complex queries into verifiable, multi-step workflows. Switch seamlessly between cloud LLMs and self-hosted models, …

    Python 88 8

  4. WebBench WebBench Public

    EchoNet is a synthetic social web for testing whether AI agents can tell independent evidence apart from coordinated repetition and manufactured consensus. It measures whether they reach the truth …

    TypeScript

  5. SecureShell SecureShell Public

    Plug-and-play terminal security layer for LLM agents. Drop-in gatekeeper that prevents dangerous shell commands. Works with OpenAI, Claude, Gemini & more.

    Python 24 4

  6. Trace Trace Public

    A multimodal support-to-engineering agent that investigates bug reports, reproduces issues, patches code, and verifies fixes. Winner of the Enterprise Impact track at the Cerebras × Google DeepMind…

    TypeScript