Data agents

A system for agentic LLM-powered data processing and ETL

A library of reinforcement learning components and agents

Superfast AI decision making and intelligent processing of multi-modal data.

Easiest and laziest way for building multi-agent LLMs applications.

Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.

Main repository for Datadog Agent

Open-source multimodal retrieval engine (Morphik Core)

Agent Skills as a Memory Layer

The open-source AI workbench for scientific research

A股多Agent投研框架 — 适配A股数据源(龙虎榜/游资/解禁等)，7位分析师基于A股规则的辩论决策，基于TradingAgents深度改造，适配大A。A-share multi-agent investment research framework — 7 AI analysts, bull/bear debate, risk assessment。

Personal AI Notebooks. Organize files & webpages and generate notes from them. Open source, local & open data, open model choice (incl. local).

Evaluation and Tracking for LLM Experiments and AI Agents

DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.

Mirix is a multi-agent personal assistant designed to track on-screen activities and answer user questions intelligently. By capturing real-time visual data and consolidating it into structured memories, Mirix transforms raw inputs into a rich knowledge base that adapts to your digital experiences.

A quick guide (especially) for trending instruction finetuning datasets

Distilabel is a framework for synthetic data and AI feedback for engineers who need fast, reliable and scalable pipelines based on verified research papers.

Postgres MCP Pro provides configurable read/write access and performance analysis for you and your AI agents.

Open-source inference server and production cluster for all the models your agent needs.

A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software. Powered by llama.cpp.

Laminar - open-source observability platform purpose-built for AI agents. YC S24.

A local MCP server for agent literature work. Original-LaTeX section reads, BibTeX from arXiv metadata, and topic watches. Papers stay on disk. Search is optional.

SoL-Pi: Scaling Auto-Research Loops for Efficient Agent Harnesses

GDM Science Skills to speed up agentic scientific workflows with better grounding and higher token efficiency. Integrate insights from AlphaGenome, AFDB, UniProt and 30+ other databases and tools.

🪁 A lightweight, modern Kubernetes dashboard. All your clusters. One workspace.

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

🏆 Top-1 on 5+ benchmarks | Web UI | Supports MiroThinker, Claude, Kimi, OpenAI

Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.

Data framework for your LLM applications. Focus on server side solution

AI Search & RAG Without Moving Your Data. Get instant answers from your company's knowledge across 100+ apps while keeping data secure. Deploy in minutes, not months.

QuantMind is an open source agent-native knowledge extraction and retrieval framework for quantitative finance.

A cross-platform video structuring (video analysis) framework based on CV models & mLLM.

Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)

Mano-P: Open-source GUI-VLA agent for edge devices. #1 on OSWorld (specialized, 58.2%). Runs locally on Apple M4 Mac mini/MacBook — no data leaves your device.Mano-P 是一个开源 GUI-VLA 项目，支持在 Mac mini/MacBook 上或通过算力棒本地运行推理，实现纯视觉驱动的跨平台 GUI 自动化操作。数据完全本地处理，支持复杂多步骤任务规划与执行。

AI/ML research agents from idea to paper-ready evidence. An EvoMap open-source project.

Gonzo! The Go based TUI log analysis tool

Thinking notebook and Markdown editor.

Thinking notebook and Markdown editor.

编程导航 AI 开发实战新项目，基于 Spring Boot 3 + Java 21 + Spring AI 构建 AI 恋爱大师应用和 ReAct 模式自主规划智能体YuManus，覆盖 AI 大模型接入、Spring AI 核心特性、Prompt 工程和优化、RAG 检索增强、向量数据库、Tool Calling 工具调用、MCP 模型上下文协议、AI Agent 开发（Manas Java 实现）、Cursor AI 工具等核心知识。用一套教程将程序员必知必会的 AI 技术一网打尽，帮你成为 AI 时代企业的香饽饽，给你的简历和求职大幅增加竞争力。

Spring AI Alibaba DataAgent

Database system for AI-powered apps

一个基于 AI 的 Hacker News 中文播客项目，每天自动抓取 Hacker News 热门文章，通过 AI 生成中文总结并转换为播客内容。

动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/

Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.

A new SOTA for RAG — an original retrieval architecture and an open-source knowledge base for humans and agents.

180 free CSS3, Figma, Sketch & PSD gradients — plus a JSON dataset for design tools, generators, and AI agents.

A simple framework that allows researchers and hobbyists to develop AI agents for Atari 2600 games

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

A catgirl who lives with you in real time — reaching out first, sharing your media, and actually getting things done, powered by an embodied emotional engine.🐱❤️一只会主动找你玩的 AI 猫娘。

Parseable is an open source, unified infrastructure observability platform built in Rust on a data lake architecture. It tracks logs, metrics, traces, and events across apps, agents, and systems, reducing storage costs by up to 90% through columnar telemetry compression.

The official CLI for Agentic Document Extraction (ADE) by LandingAI — parse documents and extract schema-shaped data from your terminal

Open source implementation and extension of Google Research’s PaperBanana for automated academic figures, diagrams, and research visuals, expanded to new domains like slide generation.

Bionic is sovereign Agentic AI for the enterprise — Runs on-premise and can securely work with your sensitive data and systems.

拼好RAG：手搓并融合了GraphRAG、LightRAG、Neo4j-llm-graph-builder进行知识图谱构建以及搜索；整合DeepSearch技术实现私域RAG的推理；自制针对GraphRAG的评估框架| Integrate GraphRAG, LightRAG, and Neo4j-llm-graph-builder for knowledge graph construction and search. Combine DeepSearch for private RAG reasoning. Create a custom evaluation framework for GraphRAG.

Label, clean and enrich text datasets with LLMs.

Distributed vector search for AI-native applications

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

🎨 NeMo Data Designer: Generate high-quality synthetic data from scratch or from seed data.

STEP-GUI: The top GUI agent solution in the galaxy. Developed by the StepFun-GELab team and powered by StepFun’s cutting-edge research capabilities.

Empowering RAG with a memory-based data interface for all-purpose applications!

The universal tool suite for vector database management. Manage Pinecone, Chroma, Qdrant, Weaviate and more vector databases with ease.

Research project. A Memory solution for users, teams, and applications.

AI deep-research agent that turns any question into a cited report: plans searches, reads real sources, verifies evidence. Self-hosted, multi-provider, Docker-ready.

All-in-one productivity app and AI assistant with Tasks, Notes, Calendar, Diary and Bookmarks.

The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that interact with your data and UI.

An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit. (https://idp-leaderboard.org/)

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

The first distributed AGI system. Thousands of autonomous AI agents collaboratively train models, share experiments via P2P gossip, and push breakthroughs here. Fully peer-to-peer. Join from your browser or CLI.

用于训练中英文对话系统的语料库 Datasets for Training Chatbot System

A financial agent for investment research

Easy token price estimates for 400+ LLMs. TokenOps.

Query your Apple Health data with natural language 💬 🩺

ASC is a super FAST Android decompiler front-end designed for Agents/Mobile Researchers.

FinRL­®-Meta: Dynamic datasets and market environments for FinRL.

⚡ Energy consumption metrology agent. Let "scaph" dive and bring back the metrics that will help you make your systems and applications more sustainable !

Apache ServiceComb Pack is an eventually data consistency solution for micro-service applications. ServiceComb Pack currently provides TCC and Saga distributed transaction co-ordination solutions by using Alpha as a transaction coordinator and Omega as an transaction agent .

NVIDIA AI Blueprint for video search and summarization (VSS) is a GPU-accelerated reference architecture for building video analytics agents with real-time verified alerts, visual Q&A, and automated reporting. The VSS Blueprint uses vision language models (VLMs) such as NVIDIA Cosmos, LLMs such as NVIDIA Nemotron, RAG, and NVIDIA NIMs.

Web UI consciousness monitor for Hermes — the AI agent with persistent memory

🎬 seedance2接入 开源本地 AI 短剧 & 漫剧生成工具 —— 从故事到成片一站式完成，数据不出本机，短剧工作流管理平台，高灵活度，AI真人剧，AI漫剧本地搞定。 Open-source local AI short drama maker: story → storyboard → video, fully offline, your data stays yours. 纳米流水线

Management console for the Null ecosystem — install, configure, and monitor AI agents, orchestration workflows, task pipelines, and system health

Access your personal AI agents and workstation data anywhere, anytime through MindFS.

A curated collection of AI agent research papers released in 2026, covering agent engineering, memory, evaluation, workflows, and autonomous systems.

A curated list of skills, plugins, tools, integrations, and resources for Hermes Agent by Nous Research

Fast and efficient unstructured data extraction. Written in Rust with bindings for many languages.

A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

AI+金融（量化）：1.多因子股票量化框架开源教程 2.学界和业界的经典资料收录 3.AI + 金融的相关工作，包括LLM, Agent, benchmark(evaluation), etc.

The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Aria is Your AI Research Assistant Powered by GPT Large Language Models

LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain

Optimized Agentic and LLM Bulk Processing Over Your Data

Open Science Desktop — local-first, model-agnostic AI research workbench for macOS, Windows & Linux. Open-source Claude Science desktop alternative built on Tauri + MCP + agent skills.

Trench — Open-Source Analytics Infrastructure. A single production-ready Docker image built on ClickHouse, Kafka, and Node.js for tracking events. Easily build product analytics dashboards, LLM RAGs, observability platforms, or any other analytics product.

Meet Ava, the WhatsApp Agent

PaSa -- an advanced paper search agent powered by large language models. It can autonomously make a series of decisions, including invoking search tools, reading papers, and selecting relevant references, to ultimately obtain comprehensive and accurate results for complex scholarly queries.

A ChatGPT web client that supports multiple users, multiple languages, and multiple database connections for persistent data storage. Provides Docker images and quick deployment scripts.

WikiChat is an improved RAG. It stops the hallucination of large language models by retrieving data from a corpus.

ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.

A curated list of 100+ resources for building and deploying generative AI specifically focusing on helping you become a Generative AI Data Scientist with LLMs

An Open Source package that allows video game creators, AI researchers and hobbyists the opportunity to learn complex behaviors for their Non Player Characters or agents