Data agents

gradio region:us

gradio mcp-server-track mcp-server region:us

gradio custom-component-track gradio-custom-component gradio text mood checker gradio text sentiment emojis gradio-text-mood-checker gradio-text-sentiment-emoji

gradio agent-demo-track region:us

gradio track:backyard region:us

docker region:us

gradio region:us

docker region:us

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gradio region:us

gradio region:us

transformers safetensors qwen3_5_moe image-text-to-text qwen world-model

transformers safetensors llama text-generation SFT rl

transformers safetensors llama text-generation conversational dataset:vicgalle/configurable-system-prompt-multitask

gguf ggml quantized q2_k q3_k_m q4_k_m

gguf text-generation en dataset:SicariusSicariiStuff/UBW_Tapestries base_model:SicariusSicariiStuff/Assistant_Pepe_8B base_model:quantized:SicariusSicariiStuff/

An eval framework for multi-agent systems that names the culprit: OTEL traces in, execution graph out, blame analysis on top.

gguf text-generation ggml quantized q2_k q3_k_m

⏱️ Time-boxed, self-improving research for Hermes, say "research X for 4 hours," walk away, get a cited report.

Tử Vi Horoscope MCP Server - a Python MCP server for generating, analyzing, and managing Vietnamese Tử Vi astrology charts with clean JSON output for LLM agents.

A method for keeping AI-assisted research honest: pre-registration + an independent agent that recomputes every claim from raw data. Forged on markets — 16 certified dead hypotheses. Runnable demo included.

🤖 The most comprehensive, community-driven resourcefor Automated AI Research — papers, tools, people, lbs, roadmaps. Featuring Recursive Lab, Sakana AI, DepMind & beyond.

An open-source goal discovery and synthesis engine that generates novel, detailed missions before planning begins.

GTM strategy simulator: ML diagnostics (XGBoost/SHAP/SciPy) narrated by a multi-agent LLM boardroom, guardrailed against hallucination

Python framework for personality-steered LLM agents based on Big Five traits, with Ollama integration and research-oriented conversation simulation.

A Retrieval-Augmented Generation (RAG) system for Kenyan legal, parliamentary, and news intelligence. NIRU: Neural Intelligence Retrieval Unit

Token-efficient ingestion middleware & concept-diff engine for Deep Research AI agents. Cuts token bloat by 85% with zero quality loss. ⚡

Agentic AI Agent to summarize news of subscribed news sites/letters

AI assistant designed to guide users in selecting the most cost-effective Azure region and virtual machine types based on up-to-date pricing data, powered with LangChain and GPT-4

Smart Scout App AI-powered football scouting platform for generating professional reports, radar and pizza charts, and interactive dashboards — all from natural language queries.

A mental wellness companion app that combines journaling, global chat, AI-monitored communities, and personalized support.

ResearchPilot AI is an Autonomous Multi-Agent Research System that transforms a single question into a complete, evidence-backed research report using AI agents that plan, search, analyze, fact-check, visualize, cite, and refine information automatically. Includes interactive charts, detailed insights, downloadable PDF reports & modern Streamlit UI

Discover trading strategies using genetic algorithms that evolve automatically to improve financial decision-making.

An asynchronous, multi-agent AI arbitration workspace powered by Llama 3.3 and Gemini 2.0 to extract data and resolve structural contradictions across Legal, Medical, and E-commerce domains.

Intelligent Home Energy Management System using Multi-Agent Reinforcement Learning and Neural Networks to optimize electric vehicle charging. Implements 4 battery management strategies with real-world data validation, achieving up to 16.89% cost reduction.

A high-fidelity beyond-visual-range (BVR) swarm drone air combat simulation platform on JSBSim. Evaluates strategy robustness under non-ideal sensing to bridge sim-to-real gap. Integrates AIM-120C-5 missile dynamics, absolute-state Kalman filter, and Tacview visualization. Designed for academic research on multi-agent coordination and RL validation

AI 竞品情报系统 · Competitive Intelligence Tool. 输入竞品名称，2~3 分钟生成完整分析报告。5 AI Agents · LangGraph · Streamlit · 支持 DeepSeek / GPT / Claude.

A multi-agent AI system for conversational data analysis — built with LangGraph, MCP, and RAG

Modular artificial cognitive architecture built from scratch, focused on memory, reasoning, knowledge and explainable intelligence.

Develop a production-grade, cyclic Retrieval-Augmented Generation (RAG) system leveraging LangGraph, Google Cloud Platform (GCP), and Groq for accelerated inference. This system intelligently distinguishes between technical 'True Data' and random 'Noisy Data' through semantic re-ranking and history-aware planning, ensuring accurate and contextually

Stop manually searching for conferences. Let AI find the perfect venue for your paper.

World-model-based agent for ARC-AGI-3. Collaboration between Andy Grossberg (memory), Dennis Palatov (architecture), and Claude instances (implementation).

AI DataLake

Local-first pipeline for a daily AI news digest

Open-source voice dictation & AI assistant for Android phone + Wear OS (transcription via OpenAI, analysis via Claude)

A privacy-first Android AI assistant that runs entirely offline using GGUF language models powered by llama.cpp. Download, switch, and chat with multiple on-device LLMs—no internet required for AI inference after the initial model download. Built with Kotlin, Jetpack Compose, MVVM, Clean Architecture, and JNI.

A RAG-based knowledge base tool combining an indexer (splits documents into semantic chunks, stores in Qdrant) and a chat agent (answers questions strictly from indexed data with automatic context management). Support web search and integration with Jira/GitLab/Confluence

AI 音视频助手前端：支持文件与 YouTube 内容导入、ASR 转写、结构化摘要和实时任务进度。

MCP Server for Arvo AI Personal Trainer - Connect Claude Desktop to your training data

AI-native CRM as MCP Server — 37 tools for contact management, pipeline, leads, follow-ups, health scores, revenue analytics, CSV import/export, GDPR (Art. 15/17). The only production-ready standalone MCP CRM. Free tier. OAuth 2.1. Hosted at crm.studiomeyer.io

Auto-updated index of MCP servers shipping on GitHub, refreshed every 15 minutes

Live index of the newest agent frameworks shipping on GitHub, sorted by recency not stars

Real-time detection and repair of LLM agent failures — a one-class behavioural monitor at ~200 µs/step, with 2,823 committed traces.

The agentic council is a fully configurable wrapper to introduce a novel method for cross-family critical red-teaming and evaluation of a "leader" agent's work. This is NOT an oracle. It is a toolchain designed to force agents into more honest, thoroughly verified workflows in a configurable, agent-agnostic way.

Qube is a privacy-first desktop AI assistant that unifies personal knowledge management (document library, long-term memory) with institutional research sources and inspectable, citation-grounded answers — entirely on the user's hardware.

Smart Job Assistant is a simple and intelligent web app that helps job seekers find the right opportunities using AI.

Multimodal chatbot project using five LLM-based approaches including RAG, PEFT, and prompt engineering, built on the BioASQ dataset for biomedical QA.

AI-assisted pipeline for structured patent claim-to-description correspondence analysis and claim chart prototyping.

PROTEUS is a JD-aware application toolkit that takes a single job description — pasted, uploaded, or linked — and a candidate's resume, then runs both through a five-agent NVIDIA NIM pipeline to produce a semantic match score, a gap analysis, tailored rewrite suggestions, and a cover letter that's consistent with the resume's positioning.

A production-grade autonomous research platform where a 4-agent LangGraph pipeline (Search → Summarize → Write → Verify) processes any topic end-to-end, with every request passing through AWS Bedrock Guardrails, a TensorZero LLM gateway with GPT-4o/Groq fallback, and a three-tier memory system — Redis session memory (STM), pgvector long-term memory

Agent skills for biotech and pharmaceutical . Access 10,000 searchable, installable tasks for bioinformatics, drug discovery, genomics, and automated life-science workflows.

Jarvis-MK85 by UWUELBY - personal AI assistant with voice, vision, memory, automation, network monitoring and Kali integration

Preserve engineering cognition in the age of AI agents ~~ 4 seconds per Git event is 2 letter-grades of skill-retention saved.

Server with an AI agent powered by an LLM, with tools for internet search, Wikipedia, and RAG database access.

M.A.R.A. is a Multi-Agent Research Analyst. A self-correcting multi-agent research system built with LangGraph, Gemma 4, and Streamlit.

Official documentation for Onibex ASK- Agentic Semantic Knowledge. The only semantic layer applying Graph reasoning at the SAP Data Product level (Silver/Gold), enabling natural-language querying and AI agents grounded in governed, business-ready SAP data.

The Customer Support AI Agent is a Python-based solution designed to monitor product prices on an e-commerce site. By utilizing an ARIMA model, it predicts future prices and sends notifications to customers when the price of a product is expected to drop in the next 10 days.

Memo MCP: intelligent journaling w/ LLMs, querying with RAG and data indexing. Retrieve past context for new conversations.

Scrapes newly posted jobs from a variety of sites and an ai agent filters them based off of the users resume.

AstrBot 宿主上的多 Agent 编排内核：TaskAnalyzer → AgentCoordinator → SubAgent 三级调度 + MCP Bridge + Shipyard 沙盒；435 单元测试 / 99% 覆盖 / ruff+mypy+bandit 全绿

A tabular agent designed for question-answering on structured data from PDFs

SochDB is a high-performance embedded, ACID-compliant database purpose-built for AI agents - Examples

SAGE: Self-Adaptive Goal-directed Executor — A multi-tool LLM agent with DAG-based hierarchical planning, ReAct reasoning, and evidence-guided self-correction for automated research synthesis. Built from scratch, no frameworks.

A high-performance, completely free and open-source command-line interface (CLI) that connects your local or cloud LLMs to the open web. It allows your AI models to search the web in real-time, pulling in actual search results to answer your prompts accurately without relying on outdated training data.

Research framework for adaptive, purposeful agents under uncertainty

An MCP server 🚀 for MonkDB, licensed under Apache 2.0 📜

The Site Status Checker Agent is a powerful and flexible tool designed to monitor and report on the status of websites.

Air quality prediction using publicly available sensor data (temperature, humidity, etc...)

🎥 Control 3D camera angles with ease using ComfyUI-qwenmultiangle, featuring an interactive viewport and formatted prompt outputs for multi-angle image generation.

A modular framework for evaluating LLM agents in zero-knowledge text environments through semantic feedback and autonomous reasoning.

khojkar (pa: ਖੋਜਕਾਰ) is a deep research agent

🔍 Optimize and manage prompts, agents, and templates with ContextForge, an AI-powered platform for seamless collaboration and organization.

LLM-driven autonomous power grid simulation and optimization using ExaGO. Large language models iteratively propose parameters, run simulations, and interpret results to solve complex grid analysis tasks.

Multi-agent due diligence pipeline that researches companies in parallel, producing a canonical JSON report with per-claim confidence, inferred source tier, and full cost/token observability. Markdown and PDF derive from the JSON. Built for provenance, auditability, and programmability over narrative polish.

Kazi Core is a self-hostable, open-source agentic engine. Plug in your own tools, run on your own infrastructure, and keep full control of your data.

A running multi-task multi-data terminal science benchmark for LLMs in GW astronomy

A modular, agent-driven pipeline to discover trending companies in a specified sector, perform in-depth financial research, and select the best investment opportunity. Built using the crewai framework, this project orchestrates multiple AI agents—each with clear roles and tasks—to automate the end-to-end stock selection process.

An intelligent multi-agent AI system for stock analysis and investment recommendations, powered by [crewAI](https://crewai.

A.I. automated industry news and insight using CrewAi

This project implements retrieval-augmented NLP pipelines, multi-agent orchestration (including CrewAI integrations), embeddings-based semantic search, and tools for cross-publication literature analysis and insight extraction

Built an interactive stock analysis application using Streamlit that integrates a CrewAI multi-agent system for advanced insights. The app uses Yahoo Finance for real-time stock data and leverages Prophet for time series forecasting, providing users with a comprehensive tool for financial analysis, including recommendations.

AI agents, powered by CrewAI, to analyze recent world events through the lens of themes from George Orwell's *1984*.

🤖 Define and execute multi-agent AI workflows declaratively using YAML, simplifying orchestration and enhancing collaboration through automatic context handling.

Multi-agent AI system using crewAI to automate LinkedIn profile data extraction and analysis.

AI agent crew that generates institutional-grade crypto market intelligence reports with real-time data from CoinGecko, Binance, SEC EDGAR, FRED and more using CrewAI + 15 MCP servers + Google Gemini.

Open-source multi-agent AI think tank platform. Collaborate, research, and generate insights with AI agents. Results stored in Notion and Markdown. Web search enabled.

CrewAI AgentOps: Monitor your AI Agents

A modular, AI-driven research and reporting framework built on Crew.ai. Define agents and tasks via simple YAML configs, then spin up a “crew” of LLM-powered specialists to research, analyze, and generate professional reports on any company or topic.

ResumeMatch is an AI-powered resume analysis tool designed to drastically improve a candidate's chances of landing a job interview by calculating the fit between a resume and a specific job description.

This is a basic workflow with CrewAI agents working with sales transactions to draw business insights and marketing recommendations. The agents will work on everything from the execution plan to the business insights report. It works with local LLM via Ollama (I'm using llama3:8B but you can easily change it).