Data agents

Get comprehensive insights about any competitor with detailed reports on products, market positioning, and strategy.

Claude agent skill: Reverse-engineer any competitor video ad into a reusable template. 12 format catalog + 7-step analysis.

Create your own Alibaba dataset and interact with it in plain English.

An AI native macOS reader. Knowledge libarary for you and your agent — everything you read in one place, searched and answered by AI, with citations you can open.

Comprehensive survery on LLM Agent Trajectory Analysis: From failure attribution to enhancement(Accepted by TSE 2026)

LLM Agent skills for working with DataHub, search, enrich, quality, build connectors, ...

Enhance your knowledge in medical research with the help of LLM and RAG.

无需预算，使用你的个人数据克隆自己——赛博飞升！Clone yourself by tuning a LLM using your own data.

A demo application to support my tutorial on building applications with GPT-3.

WorkBrain is an advanced intelligent agent model that can make autonomous decisions based on input data to achieve automated processing of various tasks. Developed independently by Chengdu Minto Technology Co., Ltd.

This repository contains two datasets with multi-turn adversarial conversations generated by human agents interacting with a dialog model and rated for safety by two corresponding diverse rater pools.

Agentic framework for scientific research and analysis.

Lightning-fast data access platform designed specifically for AI agents

A high-performance, local, offline-first AI memory system built in Rust

AI NourishBot is an AI-powered nutrition assistant that leverages advanced vision models and natural language processing to detect ingredients from food images, filter ingredients based on dietary restrictions, estimate calories, provide detailed nutrient analysis, and generate recipe suggestions.

A smart AI agent that controls your browser with natural language, using Playwright and advanced LLMs to navigate, analyze, and perform tasks.

🎙️ Voice-native document intelligence using Gemini, ElevenLabs STT/TTS, and Datadog observability — turning text documents into spoken conversations.

The highest-scoring AI memory system ever benchmarked that isn't reliant on LLM reranking. And it's free & burns less tokens.

Agent-driven Android ANR evidence extraction and AI-assisted root cause analysis pipeline.

Edge AI SCADA for hydroponic crop monitoring — Gemma 4 function calling on NFT systems. Kaggle competition entry.

Awesome list for medical imaging agents: radiology agents, pathology agents, segmentation agents, medical VLM agents, self-evolving agents, benchmarks, datasets, tools, and papers.

Ami is a local, open-source agent that does your busywork. It connects to apps, data, repos, tools with your personal tokens, learns how you do tasks and how you communicate, maintains a universal to-do list, and executes on todos. Ships with copilot chat and graph memory.

Smart money tracker for Solana. Watches whale and VC wallets and alerts when they make significant moves.

A collection of AI tutorials from Dr. Ashish Bamania

Complete observability platform for AI agents and MCP servers. Improve your AI deployment outcomes, identify inference inefficiencies, and gain insights into real agent usage patterns.

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

An infra-level React UI platform to create cohesion and consistency so teams and agents can build faster, together.

A minecraft chat bot for anarchy servers (similar to mooomooo)

Using LangExtract and Gemma 3 for structured information extraction from unstructured text in insurance polices

Improve insights to make smarter decisions by tapping into real-time data with retrieval-augmented generation (RAG).

This is a MATLAB-based reinforcement learning framework that includes the Proximal Policy Optimization (PPO) algorithm and its multi-agent extension (MAPPO). It supports GPU acceleration and parallel computing, making it suitable for research and engineering applications in control systems.

Automated pipeline for generating, verifying, and preparing high-quality function calling datasets for model fine-tuning. Reduces manual annotation through multi-stage validation and conversion to training formats. Built for Azure ML with permissive license models (Phi3.5 MoE, Phi4 etc).

Agent Skills extension for RubyLLM - load, validate, and integrate skills from filesystem or database

An open source and enterprise-grade implementation of the orchestrator-worker pattern from Anthropic's paper, "How we built our multi-agent research system," using the swarms framework.

Portable AI memory from your conversations and data exports.

PocketFlow from 0 to 1 ｜ 100 行代码构建所有 LLM 应用 ｜ 首个 PocketFlow 交互式教程 ｜ 光速掌握智能体开发实战

Autonomous fiction engine — three agents publish a fictional Wikipedia. Hermes-4-70B (canon + critics) + Kimi-K2.6 (prose) + FLUX + ElevenLabs. Constructed-language phonological drift across eras.

RAMen is a fast in-memory data store like Redis, but built for AI: drop-in Redis protocol, native vector search, semantic caching, and a built-in MCP server for agents. Single Go binary, BSD-3.

transformers safetensors stablelm text-generation causal-lm conversational

Turn research papers into verifiable knowledge graphs with AI.

Synthetic dual-reflection GPA benchmarks with optional OpenAI method-card agent

Papers about agentic AI geospatial data.

augini: AI-Powered Tabular Data Assistant

A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following

A chatbot based on OpenAI, suitable for enterprise privatized data fine-tuning. It can answer various questions related to enterprise products raised by users.

Structurizer is a web application that helps you extract structured data from PDF files with Large Language Models!

Freeway is meant to provide a simple, flexible, extensible and lightweight standard for managing prompt templates, database query templates, user input points, and LLM-backed system diagrams.

A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent environments.

🤖 Your personal AI financial analyst - Advanced stock analysis with GPT-4 | Real-time market insights | Professional trading interface

A curated list of awesome resources, libraries, frameworks, and tools for multi-agent systems (MAS) research and development.

[KDD 2023] Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM

Local FAISS vector store as an MCP server – Agent Memory, drop-in local semantic search for Claude / Copilot / Agents.

Multi-Agent Solutions (Deep Research and more)

A sophisticated Model Context Protocol (MCP) server for analyzing Architectural Decision Records (ADRs) and providing deep architectural insights to AI agents.

Papers about agentic AI and AI agents for spatio-temporal data.

Open-source PDF-to-Markdown post-processor with footnotes, LaTeX normalization, figure links, and YAML metadata. Supports Marker, MinerU, PyMuPDF, and Docling. Includes a self-hosted web UI.

🎯Awesome-AgenticRAG_DeepResearch: A curated list of resources on Agentic RAG & DeepResearch. 学习参考关于AgenticRAG、DeepResearch的发展相关论文

💎ᴠɪᴘ Free online Learning with Professional Certifications. Free online courses with certificates in various fields such as Gen AI, Prompt Engineering, Data Science, AI, ML. Welcome to our Online Course Portal project! 🚀

Model Context Protocol (MCP) server that gives LLM agents and chatbots direct access to the World Bank's Data360 Platform. Search, validate, and retrieve development indicators—from GDP and poverty to gender equality and climate—with structured metadata and time-series data, without hallucinating values.

The infrastructure for the AI economy: primitives for inference, agents, and decisions.

LLM-powered Chrome extension for automatic web form filling. All data stays local.

A multi-tenant vector database focused on extreme RAM efficiency. Lightweight, scalable, and optimized for high-density deployments.

AI Page Manifest (AIPM): open .ai.json spec for AI crawlers & GEO - per-page metadata for llms.txt / RAG / ChatGPT discovery

This repository `II-Commons` contains tools for managing text and image datasets, including loading, fetching, and embedding large datasets.

Multi-agent stock analysis framework using LangGraph — specialized agents for technical analysis, news sentiment, and synthesized investment recommendations.

RAG - Add Your Own Data to LLMs Using LangChain & LlamaIndex

A smart, visual management tool for modern databases. Go beyond Drizzle Studio with AI-powered agents and interactive schema visualization.

Graphlit Platform

📚 Build knowledge bases for RAG

The platform for developers building applications powered by LLMs

QC3, a quality control tool designed for DNA sequencing data for raw data, alignment, and variant calling.

Scalable Qdrant vector database cluster with Docker Compose, monitoring, and comprehensive documentation for high-performance similarity search applications.

Transform your Apple Health data from a static PDF graveyard into conversational AI intelligence. Multi-agent system using Claude Desktop + Snowflake Cortex for natural language health analytics. Ask 'What's my cholesterol trend?' and get instant insights from years of data

Multi-agent simulator in Jax for research and teaching in AI & ALife

Sparkset is an AI-powered operational assistant that helps teams interact with databases using natural language.

End-to-end Langfuse workshop using a TypeScript Agent to teach the AI engineering loop: tracing, prompt management, monitoring, datasets, experiments, and evaluation.

Agentic Streaming is for resilient pipelines of stateful agents over continuous data —

The AI-native wire format for structured data. 100% comprehension on every frontier model. 50-92% fewer tokens than JSON. 43B+ lossless round-trips across 17 formats. Spec v3.4 Stable.

transformers safetensors mixtral text-generation function calling function-calling

NEWTON: Agentic Planning for Physically Grounded Video Generation

AI makes users productive — but also cognitively lazy. Lucid detects cognitive dependency in real-time and adapts AI responses to keep users thinking. Drop-in SDK: zero latency, any LLM provider, research-backed.

Embedded on-device vector database for AI agent memory and local RAG — disk-based HNSW in an LSM-tree, C++/Python, optimized for low memory footprint

transformers safetensors mistral text-generation conversational en

Complete demo of Google ADK Visual Agent Builder with multi-agent research system

Chat to LLaMa 2 that also provides responses with reference documents over vector database. Locally available model using GPTQ 4bit quantization.

Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service

AI-powered, local-first Todoist analytics, automations, and dashboard with summaries and chat over cached activity.

Resources, news, tools, and materials related to AI

Production-ready local deployment of Cheshire Cat AI that delivers enterprise-grade features

Let ChatGPT (Large Language Models) Serve As Data Annotator and Zero-shot/few-shot Information Extractor.

Arrakis is a library to conduct, track and visualize mechanistic interpretability experiments.

Network Analysis through LLMs for Knowledge Extraction

A "chat with your data" example: using a large language models (LLM) to interact with our own (local) data. Everything is local: the embedding model, the LLM, the vector database. This is an example of retrieval-augmented generation (RAG): we find relevant sections from our documents and pass it to the LLM as part of the prompt (see pics).

LLM agent system for HCI research question co-creation, brainstorming and ideation

Applying Evaluation Driven Development (EDD) to aid in the design decision of RAG pipelines

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Web3 Blockchain Explorer. Validator, Mining Pool, Token and Network Real-time Metrics. Interactive Onchain Dashboard

[NeurIPS'2025] "OWMM-Agent: Open World Mobile Manipulation With Multi-modal Agentic Data Synthesis"