Explore open-source implementations leveraging LangChain for agent tool use, vector indexing, evaluation, and LLM orchestration.
Learn how to build a governance layer that enforces deterministic policies on AI agents, preventing dangerous actions before they execute..
Watch two AI agents battle it out in an epic used car negotiation! Built with Google ADK for the backend agents and AG-UI + CopilotKit for a jaw-dropping reactive frontend.
An AI-powered multi-agent codebase migration assistant built with LangGraph and Streamlit that plans file-by-file refactoring tasks, performs human-in-the-loop (HITL) risk review, fans out parallel refactoring workers, and aggregates...
Learn how to build a trust layer for multi-agent systems that enables secure delegation, trust scoring, and policy enforcement between AI agents.
Third-party tools allow you to integrate existing tool ecosystems from frameworks like LangChain, CrewAI, and others. This dramatically expands your agent's capabilities by leveraging battle-tested tools from the broader AI community.
Release Radar is an always-on dependency briefing agent built with Google ADK. It reads requirements.txt or package.json, checks mapped dependencies against GitHub releases, and reports only changes that need attention: breaking...
A deep research assistant that plans, searches the web, writes to a virtual filesystem, and renders each tool call as a live card in a workspace pane. Built with CopilotKit, Deep Agents, AG-UI, and Tavily on top of Next.js + LangGraph...
https://github.com/user-attachments/assets/b14bebd6-527a-48bd-94f5-d27fea8808aa Gen UI concept — schema-driven component composition. The full shadcn component schema is passed as agent context, so the model knows exactly which...
A chat-driven kanban board where you and the agent work the same task list. Built with CopilotKit, AG-UI, and LangGraph on top of Next.js.
Reduce LLM API costs by 50-90% through intelligent context compression. Tool outputs are 70-95% redundant boilerplate—Headroom compresses that away while preserving accuracy.
AI Blog Search is an Agentic RAG application designed to enhance information retrieval from AI-related blog posts. This system leverages LangChain, LangGraph, and Google's Gemini model to fetch, process, and analyze blog content,...
A sophisticated Retrieval-Augmented Generation (RAG) system that implements a corrective multi-stage workflow using LangGraph. This system combines document retrieval, relevance grading, query transformation, and web search to provide...
PharmaQuery is an advanced Pharmaceutical Insight Retrieval System designed to help users gain meaningful insights from research papers and documents in the pharmaceutical domain.
A RAG Agentic system built with Cohere's new model Command-r7b-12-2024, Qdrant for vector storage, Langchain for RAG and LangGraph for orchestration. This application allows users to upload documents, ask questions about them, and get...
A Streamlit application that demonstrates an advanced implementation of RAG Agent with intelligent query routing. The system combines multiple specialized databases with smart fallback mechanisms to ensure reliable and accurate...
A small, framework-agnostic RAG failure diagnostics clinic. You paste a real bug description from your LLM + RAG pipeline.
This script demonstrates how to build a voice-enabled Retrieval-Augmented Generation (RAG) system using OpenAI's SDK and Streamlit. The application allows users to upload PDF documents, ask questions, and receive both text and voice...
