Production-Ready MCP Server Framework • Build, deploy & scale secure AI agent infrastructure • Includes Auth, Observability, Debugger, Telemetry & Runtime • Run real-world MCPs powering AI Agents

Official python implementation of the UTCP

Turn Webpage to LLM friendly input text. Similar to Firecrawl and Jina Reader API. Makes RAG, AI web scraping, image & webpage links extraction easy.

An advanced Digital Worker framework for AI agent-driven research and process automations.

Making tool usage easy using utcp

This project is a concept demonstration of a layered memory system for Large Language Models. It includes a CLI chatbot and an AI playing Zork I with 'FROTZ' as examples. The true value lies in the memory_handle.py module, designed for easy integration into any Python project requiring LLM memory management (AI agents, games, etc.).

gotoHuman Python SDK

MindForge is a Python library designed to provide sophisticated memory management capabilities for AI agents and models. It combines vector-based similarity search, concept graphs, and multi-level memory structures (short-term, long-term, user-specific, session-specific, and agent-specific) to enable more context-aware and adaptive AI responses.

A LangChain integration tool that provides reliable web scraping capabilities at any scale using ZenRows' Universal Scraper API.

Innovator - AI Agent Exploration Framework !

An open-source rules-based framework for evaluating AI agent performance across various industries and use cases.

Testing the pydantic model library to build AI agents

Collection of hands-on mini-projects from the LLM Engineering: Master AI, Large Language Models & Agents Udemy course. Each project explores core LLM concepts like RAG, LoRA, synthetic data generation, prompt engineering, and agent design.

Generate & Run PostgreSQL queries by only providing natural language inputs using AI | langchain compatible

Generate & Run PostgreSQL queries by only providing natural language inputs using AI | langchain compatible

Simulate realistic price negotiations between Buyer and Seller agents using LLM-generated messages and agent logic.

This python based AI agent finds privacy policy link and gives a summary of the page automatically

A simple example of an AI agent and a LangGraph with AI agent that can understand natural language queries about planet masses and perform calculations in scientific notation. Built as a demonstration of basic AI agent architecture with skills, prompts, and testing.