Data agents

This project implements a comprehensive framework for Knowledge Graph Retrieval Augmented Generation (KG-RAG). It focuses on financial data from SEC 10-Q filings and explores how knowledge graphs can improve information retrieval and question answering compared to baseline approaches.

An experimental autonomous research system that conducts comprehensive, multi-hour research sessions and produces book-length reports with full citations on any topic.

Multi-agent AI trading system using LLM-powered analyst agents (Buffett, Munger, Burry, etc.) with free data sources (SEC EDGAR + yfinance) and Alpaca integration.

Official Repo: AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery

觀瀾 · A-share research workstation with 24 AI sub-agents — one command, deep-dive report in ~10 min.

C++17 port of librosa with wasm and SPM package. Done with agents. YMMV.

The official Java client for the Pinecone vector database

Kubernetes Enterprise storage vibes for your homelab. A single-binary CSI driver that turns any Linux box with a btrfs disk into a full-featured storage backend(Agent) - instant snapshots, writable clones, per-volume quotas, live compression tuning, NoCOW for databases, and automatic NFS exports.

openclaw-data-china-stock 是为 OpenClaw 打造的中国市场数据底座：覆盖 A 股、ETF、指数、期权、资金流、技术指标与宏观分析；为 OpenClaw Agent 提供统一行情采集、58 指标计算，并以“工具+Skill”成对输出投研能力；解决了从行情、技术指标到宏观数据的采集、计算与智能分析全链路需求。内置多数据源自动降级（AkShare/新浪/东财/Tushare），确保你的策略与研究流程不因单点故障而中断。你可以把它当作给 OpenClaw 装上的一体化 A 股投研引擎。

A lightweight, user-friendly LLM Agent framework focused on simplifying data retrieval application development.

Qualitative Data Analysis done by AI (or LLMs). 🖥️ Streamlit & 🔗 Langchain

This is a reference agent blueprint for AI-powered quantum device calibration. It provides an intelligent agent interface for discovering, executing, and analyzing quantum calibration experiments with support for automated workflows and vision-based analysis.

Single binary agent for Linux

TADtool is an interactive tool for the identification of meaningful parameters in TAD-calling algorithms for Hi-C data.

Production-grade AI evaluation, prompt management & observability SDK. Automated evaluations with sub-100ms guardrails. No human-in-the-loop required. Python + TypeScript.

This is the repo for the paper Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining.

Private Datasource Connect Agent

Persistent memory for AI agents - Learn, remember, improve. Alternative to Mem0 with scoped learning, anti-patterns, multi-agent sharing, and MCP integration.

CLI fleet management for AI agents on local networks - deploy, upgrade, and monitor OpenClaw/ZeroClaw/IronClaw across hosts via Ansible

Public Claude agent skills that turn JoomPulse data into Mercado Livre seller workflows: market research, competitor tracking, product discovery. Requires JoomPulse MCP.

RHO: Evolving Agents in the Dark — Retrospective Harness Optimization via Self-Preference. Improving LLM agents from unlabeled past trajectories (arXiv:2606.05922).

Hermes agents don't have iPhones. Now yours does. This app gives Hermes camera, mic, health data, location, and notifications. All available in one MCP tool.

AI-native quantitative research framework

Agent-first semantic data infrastructure: durable, queryable memory and document understanding for AI agents. Hybrid retrieval (P-HNSW vector + BM25 full-text), cross-namespace semantic query, SPC ingestion pipeline, MCP server & Python SDK. AGPL-3.0.

Thin local-first bridge that lets Hermes Agent call other agents (and be one too) — HTTP+JSON, text & data parts, SSE streaming, durable replay. A2A-shaped, not A2A-conformant. Honest, not incomplete.

🤖 Data Science & AI/ML skill suite derived from iannuttall/claude-agents.

Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models

Pull high-quality, efficient embeddings for PubMed, arXiv and Wikipedia from Huggingface and use for local LLM inference/Retrieval Augmented Generation (RAG)

An MCP server that delivers cryptocurrency sentiment analysis to AI agents.

Image classification using reinforcement learning and multi-agent system

Aiming at the problem of the traffic efficiency of intelligent networked vehicles passing through unsignalized-intersection in the future smart cities, this project proposed a Progressive Value-expectation Estimation Multi-agent Cooperative Control (PVE-MCC) algorithm based on reinforcement learning. The algorithm takes the intelligent networked vehicles as the research object and designed the reward function for the optimization objective from the three aspects of traffic efficiency, safety, and comfort.

Build Agents That Recall What Matters. Systematically engineer relevant context from chat history & business data. (Go SDK)

RAG app for patent similarity search with chatgpt llm over google patents

Offline Multi-Agent Reinforcement Learning Implementations: Solving Overcooked Game with Data-Driven Method

[ICLR'26] Building a Foundational Guardrail for General Agentic Systems via Synthetic Data

A realtime drawing game showcasing the use of LiveKit data capabilities in an Agents-based app.

A data construction and evaluation framework to quantify privacy norm awareness of language models (LMs) and emerging privacy risk of LM agents. (NeurIPS 2024 D&B)

CoGames is a collection of multi-agent cooperative and competitive environments designed for reinforcement learning research.

OpenFR：Multi-Agents for financial research

AutoApply AI is an intelligent system designed to streamline your job search. It automates finding relevant job postings, crafting personalized resumes and cover letters using AI, and assists with application submissions, helping you land your dream job faster.

Enterprise-ready vector database toolkit for building searchable knowledge bases from multiple data sources. Supports multi-project management, automatic ingestion from Confluence/JIRA/Git, intelligent file conversion (PDF/Office/images), and semantic search. Includes MCP server for seamless AI assistant integration.

Hermes Desktop github nous research hermes ai agent local ai ollama github download open source pc windows app installation setup workspace llm models runtime

Agentic, long-horizon visual generation: a fuzzy story → a cross-model-audited image-based movie. Brings ARIS's research-wiki + multi-agent debate to multimodal generation (intelligence lives in the agent; the diffusion model just renders). Image-based today, video next.

Open-source 100-day Python curriculum for AI, data, quant, LLM and agent projects

Chatbot application built using Next.js, React, and OpenAI. This project allows users to communicate with an AI-based chatbot that provides relevant answers to users' queries. The application uses natural language processing (NLP) technology to understand users' queries and provide accurate responses.

Performing a RAG (Retrieval Augmented Generation) assessment using voice-to-voice query resolution. Provide the file containing the queries, ask the questions, and receive the results via voice.

Zap Notes is an AI-powered note-taking application for recording and analyzing thoughts, ideas, and tasks.

Pinpoint Go agent

Checkmk special agent for checking unifi controller

Agent for scheduling event generating processes and sending the results to Riemann

The resources for EMNLP-20 paper 'Profile Consistency Identification for Open-domain Dialogue Agents'

Survival analysis in health economic evaluation Contains a suite of functions to systematise the workflow involving survival analysis in health economic evaluation. survHE can fit a large range of survival models using both a frequentist approach (by calling the R package flexsurv) and a Bayesian perspective.

HealthFlow: Automating electronic health record analysis via a strategically self-evolving multi-agent framework

Multi-agent pipeline for automated SEC 10-K / 10-Q investment research

Monitor, open, and manage Agents threads from an iPad or touch display with a macOS helper.

Official repository for "Towards Generalist Embodied AI: A Survey on World Models for VLA Agents". This curated list systematically organizes core resources including research papers, foundation models, evaluation metrics, and benchmarks.

Deep Competitive Analyst is a 'deep agent' style LLM assistant built to automate the creation of company profiles and competitive analyses

Task flows let you describe your problem and have an AI agent generate your Microsoft Fabric solution—workspaces, pipelines, notebooks, data agents, models, reports, and more—delivered as a CI/CD‑ready script, ready to deploy.

Home Assistant integration for monitoring Claude (Anthropic) subscription usage in Home Assistant. Search for "Claude Usage" in HACS.

Free AI/ML course with 950+ Jupyter notebooks — Python, deep learning, LLMs, RAG, agents, prompt engineering, fine-tuning, MLOps

Spring Boot starter for method tracing, performance monitoring, log file management, and CFR-backed decompilation. Includes a standalone MCP server (methodTraceLog-mcp) that exposes the same capabilities to AI agents over stdio.

Git for Agent Memory: Copy-On-Write vector branching for embedded multi-agent memory (83x faster, 3000x smaller snapshots)

A platform for running AI agents on realtime sport data and make predictions about game outcomes.

[WWW demo 2026] TrustResearcher: Automating Knowledge-Grounded and Transparent Research Ideation with Multi-Agent Collaboration

The OS AI engineering and monitoring agent. 🦸‍♀️ Oversight and compliance copilot for trustworthy AI.

Pandas-LLM

csvGPT is an web app tool that enables users to upload CSV files, visualize the data, and have interactive conversations with an AI model.

Zerion for AI agents and developers: hosted MCP docs, wallet-analysis skill, and a JSON-first CLI.

In-depth analysis of AI agent transcripts.

A simple integration of Bright Data MCP with new Agent framework by google

AdaptixC2 default beacon agent extended to support Crystal Palace loaders.

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models

🍨 Gelato — From Data Curation to Reinforcement Learning: Building a Strong Grounding Model for Computer-Use Agents

AI-powered agent that monitors Polish real estate developers' websites for price transparency compliance with 2025 regulations.

A curated list of PHP libraries and tools for AI, Machine Learning, and Natural Language Processing. Find everything you need to integrate modern AI capabilities into your PHP applications.

A Benchmark Dataset for Collaborative SLAM in Service Environments

ChromaDB Explorer for MacOS

📝 An AI-powered document analysis app that turns long, complex documents into summaries, key insights, analytics, and contextual conversations, helping people understand and work with information in seconds instead of hours.

MiroEval: A benchmark and evaluation framework for deep research agents — 100 tasks (70 text, 30 multimodal) assessed across synthesis quality, factuality, and research process. 13 systems evaluated.

An agentic framework for solving scientific research problems

🚀 Level up your career with GenAI. 📄 Tailor your CV to any JD, 🔍 automate company research, and 🗓️ generate custom interview prep plans for your next role or internal promotion.

Open-source public arena, agent protocol, and market-data workers for trading agents.

The AWS Observability Helm Charts repository contains Helm charts to provide easy mechanisms to setup the CloudWatch Agent and other collection agents to collect telemetry data such as metrics, logs and traces to send to AWS monitoring services.

transformers pytorch safetensors llama text-generation legal

A research-grade harness for evaluating long-horizon AI agents, with ablatable memory, control-plane benchmarks, deterministic simulations, and pre-registered machine-graded results.

Agent skill for revising research papers given an Overleaf project.

YiShape Vector Database is a specialized vector database management system and application assistance system for new artificial intelligence applications such as large language models, natural language processing, and image retrieval.

Example of how to implement AG-UI protocol together with CrewAI agents.

This is a source repository for Multi-Agent Reinforcement Learning for Autonomous Driving research

The implementation of ICLR 2023 paper "Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data".

A framework that uses multi-agents to enable users to perform a systematic data science pipeline with just two inputs.

docker setup to run the LangChain research-assistant template using langserve

Automate web research way beyond the first page of search results; curate knowledge bases to chat with.

Retrieval-augmented generation (RAG) for remote & local LLM use

"Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-Bases" by Jiarui Li and Ye Yuan and Zehua Zhang

Qurio brings multi-provider models, custom agents, reusable skills, MCP servers, HTTP tools, retrieval, long-term memory, Deep Research, and Scrapbook into one operating surface.