The Memory layer for your AI apps

利用AI大模型，一键解说并剪辑视频； Using AI models to automatically provide commentary and edit videos with a single click.

This Repo Is In Development. It will slowly but surely become one of the most potent repos available for open source AI agent code for n8n and other use cases that I cover in my YouTube videos. Star the repo to support and to stay up-to-date. Book a call with my team if you want AI agent DFY.

Lyzr SDKs help you to build all your favorite GenAI SaaS products as enterprise applications in minutes.

Tools to build web AI agents that can authenticate, interact with and extract data from any website.

This repository hosts a suite of specialized agents designed to power your brainstorming sessions. Each agent brings a unique perspective and tailored approach to generate creative, targeted solutions for diverse challenges. Choose the right agent for your specific brainstorming needs and unlock innovative ideas with precision.

Submit trading order to CEX & DEX with multi messaging platform and plugin support | EST. 2022

A declarative way to control LLMs.

My implementation of autogen and memgpt agents that work together to create simple scripts and help plan out larger projects.

CivAgent is an LLM-based Human-like Agent acting as a Digital Player within the Strategy Game Unciv.

A framework for hosting and scaling AI agents.

大象机械臂加ai代理实现智能抓取

Foundation towards automated general intelligence

GPT-4o Agent - PartSelect Website - Information on 2 Million Parts

This project leverages the power of OpenAI's Language Model Agents to create an intelligent SQL query assistant.

AI agent designed to be integrated into any IPython shell (Terminal, Jupyter notebook, QtConsole, etc.).

Official Python SDK for SwastikAI

A Langgraph system for streamlining client interactions, ensuring every customer receives a quick and accurate response. 🌟

This Python tool leverages OpenAI and Groq APIs to generate custom technical specs and project outlines, ideal for DIY projects and more. With adjustable prompts, structured guidance, and API integration, it helps users easily plan, understand, and execute complex projects across robotics, software, and educational fields.

The PyQt6 application utilizes LangChain, LangGraph, LangSmith, and Ollama to implement an Advanced RAG system through the integration of Adaptive RAG, Corrective RAG, and Self-RAG techniques.