Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MCP interface.

Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracking workflows.

Node.js/TypeScript MCP server for AWS Single Sign-On (SSO). Enables AI systems (LLMs) with tools to initiate SSO login (device auth flow), list accounts/roles, and securely execute AWS CLI commands using temporary credentials. Streamlines AI interaction with AWS resources.

On-device AI agent engine for mobile apps — embedded Node.js worker with Claude LLM, file tools, code execution, git, and extensible MCP device tools

A lightweight, AI Large Language Model (LLM) client library for Node.js, used to build LLM-powered applications with support for multiple AI inference providers, AI agentic workflows, and tool calling.

Privacy-focused AI meeting tool using a local LLM, built with Node.js for summarization, task extraction, and email generation.

LLM-powered visual thinking tool — talk to an AI, it builds structured node graphs with auto-layout, persistence, and predictive suggestions

Langflow-orchestrated multimodal AI assistant — drag-and-drop pipeline connecting vision, audio, and text LLMs with vector memory, tool nodes, and configurable output routing.

A powerful AI-driven stock analysis tool that uses real-time and historical data to deliver actionable investment insights. Built with Node.js, Yahoo Finance API, and Groq LLM.

Personal AI Agent Runtime — a multi-node distributed assistant with LLM tool-calling, knowledge vault, controlled self-evolution, and mesh networking across Ubuntu Hub, MacBook Edge, and mobile via Feishu/Lark.

A simple visual tool for building AI workflows using connected nodes. Users can drag Input, LLM, and Output nodes, connect them into a pipeline, and submit the workflow to a FastAPI backend for validation. Built with ReactFlow on the frontend and FastAPI on the backend, with a focus on clean architecture and extensibility.

End-to-end LangGraph agent workflow integrating ToolNode orchestration, OpenAI LLM bindings, and LangSmith observability. This repository demonstrates a production-ready blueprint for building tool-augmented agents with memory, conditional routing, and structured state management for scalable enterprise AI applications.

AI tool for generating high-converting marketing hooks using LLMs AI tool for generating high-converting marketing hooks using LLMs | Built with Node.js

🔁 AI Discovery Platform - Swipeable feed of the latest AI tools and LLMs. Built with React, Node.js, and Claude AI.

A Node.js CLI tool inspired by Simon Willison's `llm` for interacting with various LLM providers. Uses the Vercel AI SDK with their gateway for unified access to multiple providers.

TypeScript Node.js library and dev tool for previewing the output of an LLM or AI Agent - especially for complex output with function calls or tool invocations.

AI-powered tool for generating customizable technical assessments, dynamically creating tailored tests and AI-driven reports for any software role. Built with React, Node.js, and LLM integration.

AI-powered tool to analyze GitHub repositories, explain architecture, summarize code, detect potential bugs, and suggest improvements. Built with React, Node.js, and LLMs.

AI-powered website audit tool that analyzes SEO, content, and UX using structured data and LLM-driven insights. Built with React, Node.js, and Google Gemini.

A minimal, full-stack AI text summarization tool featuring a sleek React glassmorphism UI. Built with Node.js, Express, and LLMs to rapidly extract structured insights from unstructured data.

AI Assistant - Agentic runtime and API gateway that orchestrates multi-turn LLM conversations, cron-based automation, distributed tool nodes, and persistent memory — with 15+ provider support and a Vue/Tauri dashboard.

End‑to‑end Streamlit app showcasing agentic AI with LangGraph/LangChain. Includes Basic Chatbot, Web‑augmented Chatbot (Tavily tool calls), and an AI News summarizer that exports markdown. Configurable via INI, powered by Groq LLMs, modular nodes/tools, and a clean UI for rapid experimentation.

A **simple Agentic AI web application** built with **React, Node.js, Express, and the OpenAI API** that demonstrates tool-calling capabilities of LLMs. The AI agent can understand user queries and dynamically execute backend tools such as fetching time, weather information, and managing todo tasks through a chat interface.

LangGraph is a framework built on LangChain to design LLM workflows as graphs. It connects models, tools, and logic nodes with clear flow control, enabling loops, branches, and observability. Ideal for building scalable, agent-like AI systems with modular pipelines.

A comprehensive observability stack that integrates AI-powered analysis with traditional monitoring tools. This solution combines Claude (cloud-based) / Ollama (self-hosted) with MCP Server, n8n, Prometheus, Grafana, Loki, Tempo, OpenTelemetry, PostgreSQL Exporter, Node Exporter, cAdvisor, Filebeat, and Alert Manager for live monitoring with LLM

A visual AI workflow automation platform for building durable agentic workflows. Orchestrate complex LLM chains (OpenAI, Gemini, Anthropic) and communication tools with a node-based editor, powered by Next.js, XYFlow, and Inngest for industrial-grade reliability.

LLM Comparison Tool is a full-stack web app that compares AI responses from ChatGPT (GPT-4o) and Claude AI side-by-side. Built with React, Tailwind CSS, Node.js, and Express.js, it enables real-time prompt testing and performance evaluation for developers and researchers.

LLM Comparison Tool is a full-stack web app that compares AI responses from ChatGPT (GPT-4o) and Claude AI side-by-side. Built with React, Tailwind CSS, Node.js, and Express.js, it enables real-time prompt testing and performance evaluation for developers and researchers.

Developed an AI-powered tool that summarizes PDFs and articles and answers user queries using Large Language Models (LLMs). Integrated a Node.js backend with APIs for real-time responses and planned RAG implementation to enhance contextual accuracy and retrieval performance.

AI-powered stock analysis tool that evaluates equities across 11 weighted factors including business quality, financial health, and valuation. Built with Node.js and LLM APIs, featuring caching, structured scoring, and side-by-side comparison for long-term investment analysis.