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Achievement: Pull SharkAchievement: YOLO

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ramblinghermit0403/README.md

👋 Hi, I’m Himansh Shivhare

I build intelligent systems that connect AI reasoning with real-world tools, with a strong focus on agent orchestration, scalable backends, and memory-driven AI platforms.

My work lives at the intersection of:

  • LLM agent architectures
  • Distributed & event-driven systems
  • Practical AI infrastructure (production-first, not demos)

🧠 What I’m Working On

🔹 Agent Bridge — MCP Tool Orchestrator

An intelligent orchestration layer that interprets user intent, selects the right tools from connected MCP servers, executes them securely, and synthesizes a final, comprehensive response.

🔹 MemWyre / Brain Vault — AI Memory Infrastructure

A persistent, cross-LLM memory layer that enables users to store, retrieve, and reason over knowledge across chats, tools, and agents.

  • Systems that work across models, not locked to one

“AI is only as powerful as the systems that surround it.”

Pinned Loading

  1. agent_bridge agent_bridge Public

    LLM Tool Orchestration acts as an intelligent orchestrator. It interprets your request, selects the right tool from your connected MCP Servers, and uses the tool's output to generate a final, compr…

    Python 1

  2. mcp_server_sse mcp_server_sse Public

    This a repository containing simple mcp-servers using sse transport mechanism.

    Python 1

  3. Memwyre Memwyre Public

    Universal memory layer for AI - designed to capture, organize, and retrieve your knowledge across tools, conversations, and large language models.

    Vue 1

  4. Context_AI Context_AI Public

    This project is a Video Context Extraction API that analyzes video files to extract multimodal information including: Audio transcription using OpenAI's Whisper model Visual object detection using …

    Python 1