Data agents

An agent harness on top of Trigger.dev, wearing analytics as its first skin. Questions become interfaces.

Fully local AI assistant that watches your screen to eliminate the context problem. No cloud. No data leakage.

An open-ended, agent-driven research loop: proposes ideas, runs real experiments, and writes up the paper — end to end, unattended.

LangChain integration for Milvus vector database and semantic search

Customizable RAG chatbot made with LangChain, ChromaDB, Streamlit using gpt-3.5-turbo, text-embedding-ada-002 also sporting database integration

A research framework to evaluate how document parsing quality determines downstream RAG performance.

An AI-powered healthcare support system utilizing a three-model architecture for accurate, safe, and research-backed health assistance.

Your Personal AI Agent for Stock Market Analysis and Guidance. Smart Investing Conversations Start Here!

This is the official page of the paper "AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science."

MCP agent for semantic metrics governance with built-in trust scoring, lineage visualization, and conversational metric definition. Designed for data teams working with dbt, LookML, and modern semantic layers.

Image search application built with the vector capabilities of OceanBase

This project aims to develop a natural language interface (NLI) for Prefect workflows using generative AI (GenAI). The prefect agent will analyze user input, determine the appropriate Prefect flow to execute, and trigger the flow with the necessary parameters.

An intelligent conversational weather assistant powered by AI models and real-time meteorological data written in Python

OpenBrain is an open-source machine-readable memory layer for agentic systems. It stores typed, versioned memory objects (claims, decisions, tasks, artifacts, entities, relations, thought summaries), supports structured queries + semantic search, and exposes a standard plug-in protocol via MCP.

An agentic chatbot that performs philosophy research.

AI agent for log monitoring

Automated RSS flux monitoring system

CYBERNETIC AGENTS

AI Agent platform for online meeting agents with Google Vertex AI, Datadog and Elevenlabs integration.

Multi-provider AI usage monitor with real-time dashboard, desktop pet overlay & ESP32-S3 hardware companion — tracks Claude, OpenAI, DeepSeek, Ollama and LM Studio. Expanded from the original Clawdmeter project.

Professional Windows desktop app that converts JSON/Text to TOON format, optimizing LLM token usage by 15-30% while maintaining 100% data fidelity.

Evaluate multimodal agents on complex, realistic visual tasks involving multi-step workflows in dynamic environments.

Multi-tenant AI runtime control plane for risk scoring, policy enforcement, and evidence-preserving agent operations.

🖼️ Generate stunning images easily with intelligent prompts from a database of 6000+ curated options, tailored to your specific needs.

A deep research agent implementation using Google's Agent-to-Agent (A2A) framework with Model Context Protocol (MCP) tools

GPU-Accelerated Data Science Agents

AI Native Semantic Language

A robust city information workflow using Crew-AI, featuring multi-agent orchestration, Pydantic validation, and OpenLIT observability for monitoring AI interactions.

MCP server for Power BI - Business analytics and data visualization

Analytics your AI agent can actually query. Tiny SDK that pipes events to BigQuery — ~$0/mo at indie scale, no dashboard, no vendor lock-in.

Cache-aware orchestration for LLM agents. Fork helpers that share cached prefixes, detect cache breaks, and cut token costs by 38%+.

🔬 Implementation of agent coordination architectures and scaling principles from 'Towards a Science of Scaling Agent Systems' (arXiv:2512.08296). Research-backed multi-agent framework with benchmarks and validation.

Constitutional framework for human sovereignty in the AI-native era. A systematic approach to preserving human agency through 23 core protocols and the Dual-Circle Symbiosis Model.

A local agent architecture for semantic-aware interaction between large language models and multidimensional microscopy datasets inside napari

Temporal memory for your AI agents, financial research, and knowledge workflows.

A framework for resonance-based decision-making in artificial agents, combining celestial influences, memory feedback, and symbolic emergence.

Seren CLI & MCP

Powerful and Flexible Datagrid Engine.

A dynamic application for both HR professionals and job applicants to evaluate resume strength against a job description. Get a comprehensive score and personalized tips powered by Gemmi AI.

MCP server that lets AI agents run real user interviews and retrieve themes and quotes.

Plan-aware agent orchestration for Pi. Grove reads a structured markdown plan, parses it into work streams with dependencies, and orchestrates parallel AI agents to execute them — all monitored through a real-time web dashboard.

Context Pressure — AI Context Window Monitor for macOS

Observantio's Resolver is a ground-up AI engine for modern observability. It correlates metrics, traces, and logs into a unified intelligence layer that detects anomalies, forecasts trends, and automates root cause analysis (RCA).

loafer is an AI agent designed to automate the ETL (Extract, Transform, Load) process, enabling data engineers to efficiently transform and load data into their target systems.

Advanced Claude skill to analyze Polymarket traders. Fetches on-chain data, computes ROI/performance, and detects trading strategies (Arbitrage, Whales, Market Making).

Automatically generate high-quality company research reports.

CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories

LLMWorkbook is a Python package that integrates Large Language Models (LLMs) with tabular datatypes - workbooks and dataframes for seamless data analysis and automation.

AI-driven financial analyst system utilizing LangChain and Ollama for real-time stock analysis, market trends, and financial insights.

AI assistant for biophysically detailed neuronal modelling (NeuroML) and data analysis

A Q&A RAG AI assistant and web crawler

langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.

Tavily-OpenAI connector harnesses Tavily's web research capabilities and LangChain's AI toolkit to create intelligent, internet-connected agents powered by OpenAI models.

An integrated AI suite combining intelligent PDF analysis, automated research capabilities, and multi-agent academic paper generation, powered by both cloud and local language models to streamline research and document processing workflows.

A PM tool utilizing LangChain LLM prompting to analyze project data and return RAG status for project tasks.

In this project I have built a RAG pipeline to showcase how we can augment LLM knowledge with additional data.

Optimizing a Retrieval-Augmented Generation (RAG) system on the CNN/Daily Mail dataset using LangChain, with performance benchmarking and analysis via RAGAS.

Solution for the Trustii's "Secure RAG System" Data Challenge 2024

A collection of beginner to intermediate-level Data Science & Machine Learning projects using Python, Pandas, Scikit-learn, Tensorflow, and more.

🚀 AI-powered financial market intelligence system using Google Gemini, LangChain, RAG & multi-agent orchestration. Real-time stock analysis, sentiment analysis, and ML-based predictions.

Langchain | OpenAI | Train with Custom markdown data

An accessible, reliable, and efficient platform for medical information and support using LLMs

Chatbot from pretrained LLaMA-2 LLM model, fine-tuned with medical research papers using RAG (Retrieval-Augmented Generation)

Two approaches to generating optimized embeddings in the Retrieval-Augmented Generation (RAG) Pattern

Python library designed to protect sensitive data when interacting with third-party LLMs.

This project leverages Langchain and Groq to analyze conversations between recovery agents and borrowers. The analysis includes summarization, key actions identification, sentiment analysis, named entity recognition (NER), and non-compliance checks.

A Python-based tool for context-based search across text documents using OpenAI embeddings and Chroma vector storage. This system enables efficient querying of document collections by generating vector embeddings, storing them persistently, and retrieving relevant results based on textual queries.

Python package that makes it easy to spin up a custom Retrieval-Augmented Generation (RAG) pipeline.

Deep researcher using langchain-ollama with deepseek-1.5b model.

Demo LLM (RAG pipeline) web app running locally using docker-compose. LLM and embedding models are consumed as services from OpenAI.

TARS Robot AI-Agent Data-over-Sound Commands and Bluetooth-Controlled Mecanum Chassis

LangGraph-based multi-agent deep research system

AI Agent - powered time tracking and productivity app with a personalized mentor persona, featuring smart timers, analytics, calendar integration, and a modern UI.

Implementing Retrieval Augmented Generation (RAG) via using GPT-3.5-Turbo as the LLM model and Langchain to simplify the implementation, with the data being feed is in the form of list to make it easier to understand.

Leverage the power of multi-agent AI to fuel your daily tech, programming, and architecture insights.

🤖 Automate data analysis and machine learning with a multi-agent system that provides insights and reports efficiently using advanced AI technologies.

Retrieval-augmented generation (RAG) system for medical Q&A using the Merck Manual of Diagnosis and Therapy (19th Edition). Semantic search via ChromaDB and GTE-large embeddings; answer generation with Mistral 7B (GGUF). Runs fully locally for privacy, with optional GPU acceleration.

Integrating Databricks Genie as a tool in CrewAI agents.

A simple showcase of how to leverage a CrewAI agent inside of a Streamlit UI to analyze Hackernews top posts.

AI-powered performance assistant that uses your Garmin data to generate personalized weekly plans with nutrition, training, and recovery guidance.

Data Interpreter for autoGen

ZeusDB vector database integration for LlamaIndex. Connect LlamaIndex's RAG framework with enterprise-grade vector database capabilities.

Real-time global intelligence platform — OSINT monitoring + multi-agent predictive simulation in Gleam/OTP

Growny helps users manage tasks, notes, and reminders using natural language. It leverages AI and vector databases for smart organization and fast retrieval, making productivity simple and efficient.

The next-generation sovereign AI ecosystem. Mnemosyne Neural OS empowers users with multi-model agents, local-first data privacy, and an encrypted knowledge vault. Experience the future of private, autonomous edge-to-cloud R&D.

Multi-expert roundtable discussion powered by Resonnet.

Autonomous AI trading system using xAI Grok for market analysis and Interactive Brokers for execution

PROMPT™ is a human-first prompt framework for people who hate generic AI answers. It’s built from real, geeky metadata work and years of practicing structured inquiry with humans—so AI stays in context and doesn’t waste your time. On the backend, it's a powerful, versatile a structured interaction schema for AI agents, LLMs, and agentic workflows.

This agent intelligently analyzes your shopping intent and searches across 24 connected Shopify stores in parallel. Using a coordinated multi-agent system, it discovers and show the most relevant products,product infos and prices.

LLM-powered research reading system with topic evolution, state-machine report generation workflows, and memory-based knowledge tracking.

Parallel HYpergraph MEssaging Streams

An AI-powered, multi-agent analytics platform that lets business users query any database in plain English - and trust every answer with a full reasoning trail.

This repository gathers concrete implementations and usage examples of the A2A protocol across popular agentic AI frameworks. The goal is to lower the barrier to entry for developers and researchers looking to adopt A2A in their own systems.

Resume Tailorator is a sophisticated multi-agent AI system designed to analyze job postings and tailor your resume to match specific job requirements. It ensures authenticity, avoids AI clichés, and optimizes for Applicant Tracking Systems (ATS).

A chat-based AI travel planning assistant that helps users create personalized travel itineraries using real-time data from TripAdvisor

An AI agent in your terminal that can connect to databases and generate insights

Simple Deep Research Implementation

AI Agentic System for Financial Analysis-Data App on Consolidated Assets of U.S. Banks 🏦 💰