Local Agentic AI Framework using Model Context Protocol (MCP), LangGraph, and Ollama
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Updated
Mar 15, 2026 - Python
Local Agentic AI Framework using Model Context Protocol (MCP), LangGraph, and Ollama
A Local Agentic School Management System using Model Context Protocol (MCP), LangGraph, and Ollama. Feature-rich PoC with SQLite data, PDF reporting, and an AI-driven Streamlit interface.
Production-ready AI inbound voice agent for local clinics and businesses—features real-time function calling, Google Calendar scheduling, and containerized n8n orchestration.
An AI mail client where the assistant drives the UI — compose, search, open and reply by natural language, against real Gmail with a self-hosted Ollama model.
AI-powered health & fitness tracker with deterministic analytics, tool-calling AI agent, personalized wellness insights, and interactive trend visualization. Built with Next.js, TypeScript, Prisma, and Recharts.
Talk to your protein structures. Voice control for PyMOL, ChimeraX, AlphaFold, and Rosetta built on the OpenAI Realtime API with structured tool calling.
🚀 A minimalist C# AI agent with one tool: il_run. Execute AI-generated code directly in your terminal.
Composable AI runtime framework for building agent systems with tools, agents, skills, hosts, memory, workflow packages, and scenario packs.
Autonomous VoC agent that scrapes Flipkart reviews, tags sentiment/theme via LLM tool-calling, and generates weekly action-item reports for Product/Marketing/Support. Python, Groq, SQLite, GitHub Actions.
Manage school data locally with MCP, LangGraph, and Ollama for natural language queries, PDF reports, and privacy-first admin control
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