openai

This template demonstrates how to create a collaborative team of AI agents that work together to process, analyze, and generate insights from documents.

Natural language querying allows users to interact with databases more intuitively and efficiently. By leveraging the power of LangChain, SQL Agents, and OpenAI’s Large Language Models (LLMs) like GPT, we have created an application that enable users to query databases using NLP

One chat interface across OpenAI, Anthropic and Gemini — with tools, web browsing and shared threads. Built on LangChain.

Opinionated sample on how to build and deploy a RAG application with Amazon Bedrock and OpenSearch

Modern AI chatbot supporting multiple LLMs. Switch between Gemini, Mistral, Llama, Claude and ChatGPT.

A privacy-first, provider-neutral personal AI workbench with chat, memory, auditable tools, MCP, and isolated project plugins.

Go module for fetching embeddings from embeddings providers

Annotation meets Large Language Models (ChatGPT, GPT-3 and alike).

A tool to OCR PDFs using gen-AI models

Открытая база знаний о нейросетях

AI Lead Generation Agent that automatically discovers and qualifies potential leads from Quora. Using Firecrawl for intelligent web scraping, Phidata for agent orchestration, and Composio for Google Sheets integration, you'll create a system that can continuously generate and organize qualified leads with minimal human intervention!

AI knowledge workbench for Neovim.

🛒 AI chat & product/category summaries in Amazon shopping, powered by the latest LLMs

Production-ready AI-powered CRM with 6 autonomous agents for lead qualification, email intelligence, sales pipeline, customer success, meeting scheduling, and analytics

SynthGenAI - Package for Generating Synthetic Datasets using LLMs.

Rust-first, local-first multi-agent runtime with a desktop HUD, policy-gated tools, voice, and worktree-isolated coding agents.

AI Assistant for Godot

Transform screenshots into searchable Obsidian notes using AI vision and text analysis

A curated list of strategies, tools, papers, and resources for reducing LLM token costs and improving efficiency in production.

LLM orchestration toolkit for agent workflows: planner + workers + synthesis, optional router (LLM + learned fallback), supports OpenAI/Anthropic/Ollama/llama.cpp, real scraping with caching, MCP server integration, and a TUI chat UI.