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AGiXT is a dynamic AI Agent Automation Platform that seamlessly orchestrates instruction management and complex task execution across diverse AI providers. Combining adaptive memory, smart features, and a versatile plugin system, AGiXT delivers efficient and comprehensive AI solutions.
YouTube Full Text Search - Search all of YouTube from the command line
Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone
Universal MCP memory service with semantic search, multi-client support, and autonomous consolidation for Claude Desktop, VS Code, and 13+ AI applications
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.
Your Local Artificial Memory on your Device.
AI Chatbot for analyzing/extracting information from data in conversational format.
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
A LLM RAG system runs on your laptop. 大模型检索增强生成系统，可以轻松部署在笔记本电脑上，实现本地知识库智能问答。
Comprehensive Vector Data Tooling. The universal interface for all vector database, datasets and RAG platforms. Easily export, import, backup, re-embed (using any model) or access your vector data from any vector databases or repository.
Notate is a desktop chat application that takes AI conversations to the next level. It combines the simplicity of chat with advanced features like document analysis, vector search, and multi-model AI support - all while keeping your data private.
Admin UI for Chroma embedding database built with Next.js
A lightweight, production-ready RAG (Retrieval Augmented Generation) library in Go.
A free open source RAG based AI legal assistant.
The Go client for Chroma vector database
Harnessing the Memory Power of the Camelids