Data agents

An extensible TypeScript toolkit that simplifies complex EVM blockchain interactions into composable, intent-based tools. Provides a unified, type-safe interface for both on-chain actions and off-chain data services, enabling developers to programmatically execute any blockchain operation across multiple EVM networks.

Persistent memory graph for AI agents. Facts, decisions, entities, and relationships that survive across sessions, tools, and providers. MCP server — works with Claude, Cursor, ChatGPT, and any MCP client.

Tools for sgRNA calling in direct capture Perturb-seq data

Autonomous AI agent for Crustocean, powered by Hermes Agent from Nous Research

MCP server for spatial transcriptomics analysis through natural language interfaces.

Explain Jenkins job failures with AI

An Autonomous Curriculum Reinforcement Learning framework that steers agents to continually learn in specific environments with zero human data.

On-Call Copilot is an open-source multi-agent AI system built on Microsoft Agent Framework and Agent Services v2 Hosted Agents that automates incident response. It runs four specialist agents concurrently Triage, Summary, Comms, and PIR, returning root cause analysis, a plain-language narrative, Slack and stakeholder update

一个基于多智能体协作（Multi-Agent）深度研究系统，能够将宏大的模糊课题自动拆解，通过并行联网搜索、智能体内部审查与自纠错，最终撰写生成包含严谨数据、文献来源指向及可视化图表的深度研究长文。

Simplified CloudTrail analysis for AI agents

OmniDispatch is an autonomous multi-agent system that detects critical infrastructure incidents. It analyzes IoT telemetry against compliance policies and routes field technicians using interactive Fluent UI map widgets within Microsoft Copilot.

AI-Lake Format: self-contained Parquet + HNSW index — unifying tabular data, embeddings, and vector search in a single Iceberg-compatible file

Know when your AI is about to forget — browser extension that monitors context window usage

Interactive data exploration that is extremely fast and agent-native

Permissive, modern alternative to Ghidra with Rust/Python core and first-class agentic AI integration

QuickDigest AI facilitates seamless interaction with various data formats, real-time web search, and creative image generation for advertising

Start building practical applications that allow you to interact with data using LangChain and LLMs.

GPT-powered solution for extracting and modifying data in tables using natural language commands.

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.

A LangChain-powered intelligent agent designed to analyze telecom customer churn, assess financial risk, and make data-driven business retention decisions.

The OpenSVC node agent

Web status monitor for FreeSWITCH's mod_callcenter queues and agents

Open-source AI chat app powered by Apple Foundation Models. Runs in any browser. Self-hosted. Private. No cloud.

AI agents + toolkits for scientific knowledge

Enable fast, free real-time web search and access premium data from trusted media brands—news, financial markets, sports, entertainment, weather, and more. Build powerful AI agents with Dappier.

Proof of concept research agent using Browserbase Search, Fetch, and OpenAI

Local AI Agent firmware running on ESP32-S3, integrating offline voice wake-up with cloud TTS, supporting local LLM inference, tool calling, long-term memory storage and autonomous task execution.

cn金融数据 MCP 服务器 — 工具包覆盖 A 股行情、财报、估值、板块、市场全景、新闻及宏观指标。

PyProc MCP turns public SPSE/Inaproc procurement data into MCP tools that can be used by LLM clients (Claude Desktop, Continue, Cursor), AI agents, automation workflows, Python scripts, and command-line users.

Design-system and vocabulary drift, enforced. Tailwind themes become law, rogue values get receipts, words live in a database agents inherit — one org ontology across every repo.

financial market analyst with ai agent

QA Bot for Hugging Face documentation to accelerate development within the ecosystem.

A YouTube analytics tool for trend, sentiment, and suitability insights.

Drop-in LLM cost tracker — change one import line, see where your money goes. Supports OpenAI, OpenRouter, Azure, Ollama.

🤖 AI-Powered Chinese Stock Market Analysis. 一个基于 AI 的 A 股智能分析系统，提供技术分析、交易信号和智能投资建议。内置 OpenClaw 内核，Agent 编排与记忆采用本地优先、分层记忆与心跳总结，支持单股分析、消息与热点追踪、持仓管理与统一问答。

Naive Bayes Text Classifier

🤖 All about Machine Learning and Deep Learning and Agentic AI • Data → Model → Predict

An Obsidian-based research wiki mapping the frontier of latent-space reasoning and inter-agent communication — what happens when you remove the discrete token bottleneck.

Create & stream personalized agentic video briefings on any topic.

This is the reading list of Large Language Model-Based Data Science Agent

Data and materials to reproduce Bloomberg's investigation into racial and gender bias in OpenAI's GPT

它是一款面向数学建模的自动化Agent，基于Spring AI Alibaba Graph框架开发：从问题陈述出发自动构建并求解数学模型、进行数据验证与可视化，最终输出包含方法、结果、代码、数据与参考文献的可直接投稿的完整论文。

🤢 Distributionally 🤡 Robust 🚅 Multi 🤖 Agent 🚁 Reinforcement 😘 Learning 🛫 Equity Aware 🥶 Microgrid 🛸 Operations is 🍔 an advanced 🚞 research 🍅 framework that integrates 🍏 multi agent reinforcement 🍑 distributionally optimization 🍿equity aware control 🫑 to enable fair resilient 🥯 and efficient energy ✈ management in smart microgrids

Generate conversational, tool-calling, structured-output, and preference datasets — easily and at scale

An AI-powered research platform that transforms how you conduct research

UAVBench: An Open Benchmark Dataset for Autonomous and Agentic AI UAV Systems via LLM-Generated Flight Scenarios

Benchmark and execution environment for evaluating LLM agents on end-to-end AI Research. [ICLR 2026]

Plugin for QGIS interaction using LLM. Enables geospatial analysis and data processing through natural language commands.

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

MoltTrend Claw is a privacy-first, autonomous AI agent that monitors cryptocurrency trends, analyzes market narratives, and generates actionable reports with long-term memory.

Grade every agent, scraper and model in a claim's chain — provenance, trust scoring and audit evidence for LLM pipelines

Open-source, self-hosted AI workspace for local and open-weight LLMs with vLLM, LiteLLM, autonomous agents, MCP tools, deep research, artifacts, and BYOK.

Public-domain study guide for the NVIDIA NCP-AAI agentic AI certification (also AWS AIP-C01, Databricks GenAI Eng Associate, Google Cloud PMLE, Microsoft AI-102) — labs, cert mappings, slides, quizzes. Contributors welcome.

AI-powered flood intelligence system featuring h2oGPTe Agent + NVIDIA NIM integration (A2A), NAT pipeline with Nemotron 49B, and real-time flood risk assessment. Part of NVIDIA–H2O.ai AI for Good Blueprint for disaster response and monitoring.

Dashloom is an open-source product intelligence platform for people operating one or many digital products. It combines dashboards, connected business data, specialized AI agents, scheduled reports, and action tracking.

🐼 Steer your LLMs and agents at the token level: A web app for token visualization & control, model inspection, data annotation, and more.

A database-agnostic Agentic GraphRAG framework using swappable System One models (local Laya / cloud Jev). A plug-and-play intelligence layer featuring a complete 4-phase pipeline, continuous evaluation and custom A* traversal for any graph database.

Let’s build a curated Knowledge Graph based on the collective wisdom of 260+ experts

Ask question over your Notion Database! A naive Retrieval-Augmented Generation (RAG) pipeline backed by Langchain and Streamlit

This is an implementation of the paper "Coordinated Multi Agent Imitation Learning", or the Sloan version "Data-Driven Ghosting using Deep Imitation Learning" using Tensorflow

Build a chatbot using deep learning techniques. The chatbot will be trained on the dataset which contains categories (intents), pattern and responses. We use a special recurrent neural network (LSTM) to classify which category the user’s message belongs to and then we will give a random response from the list of responses.

Visualize your ChatGPT usage with interactive charts and insights.

Open WebUI + LangGraph AI Agents with Python Executor and Postgres Database

Embedded-first vector database that grows into a self-hosted service and lightweight cluster.

A mcp server that bridges Dune Analytics data to AI agents.

Java 23, SpringBoot 3.4.1 Examples using Deep Learning 4 Java & LangChain4J for Generative AI using ChatGPT LLM, RAG and other open source LLMs. Sentiment Analysis, Application Context based ChatBots. Custom Data Handling. LLMs - GPT 3.5 / 4o, Gemini Pro 1.5, Claude 3, Llama 3.1, Phi-3, Gemma 2, Falcon 3, Qwen 2.5, Mistral Nemo, Wizard Math

AI lifecycle platform for classical ML and agentic systems. Versioned, encrypted registries for data, models, experiments, prompts, agents, MCPs, and skills. Pre/deploy/post-deployment patterns. Real-time monitoring and evaluation via Scouter. Rust core, governed by design

Markdown-first work-memory protocol for existing agents, with maintained knowledge, candidate notes, evals, and an example KB.

An AI-powered autonomous reverse engineering swarm that accelerates binary analysis through multi-agent collaboration

A demonstration of hybrid search with reranking using Qdrant and BGE-M3 model. A showcase of dense and sparse retrieval combined with ColBERT reranking for optimal search results

Autonomous research harness for AI agents. Give it a measurable goal — it hypothesizes, experiments, and iterates until it finds a solution or tells you what it learned.

Open-source platform connecting AI assistants to government open data — MCP server, curated civic MCP directory, and anti-hallucination framework for all 559 Socrata portals

A Model Context Protocol (MCP) server for Elsevier Scopus. Allows AI assistants like Claude to search academic papers, retrieve abstracts, and analyze author profiles directly.

A data analytics AI Agent - use LLM to drive machine learning algorithms on dataset

Multimodal generative AI resources : talking heads, STT, TTS, image & video generation, and AI Agent

Doka is a desktop AI agent for Windows and Mac. It searches the web, reads pages, works with your files, runs terminal commands, and shows every step it takes — all locally, for free, without sending your data anywhere.

gguf text-generation en dataset:AI-MO/NuminaMath-CoT dataset:KbsdJames/Omni-MATH dataset:RUC-AIBOX/STILL-3-Preview-RL-Data

Full-stack RAG application — OpenAI, Pinecone, Flask, React — and the tutorial series that builds it end to end.

Self-improvement loop for Hermes Agent: reads its own trajectory, proposes and applies the smallest skill/memory edit (create/patch), journaled with rollback. /refine command, refine_run tool, on_session_end hook.

An example repository to use HuggingFace smolagents, Phidata and CrewAI frameworks with local LLMs

Using deep research workflow to generate datasets for finetuning LLMs.

Research into Assault Course for training Active Ragdolls (using MujocoUnity+ml_agents)

Reciprocal Collision Avoidance for Real-Time Multi-Agent Simulation (port to Javascript). This is an alpha release of a RVO2 port from the C# version to Javascript, only for research purposes.

Tune your AI Agent to best meet its KPI with a cyclic process of analyze, improve and simulate

LangChain, Llama2-Chat, and zero- and few-shot prompting are used to generate synthetic datasets for IR and RAG system evaluation

A CrewAI script that uses 4 agents and 4 tools to research your next steps for your personal brand

Multi-agent LLM driven cell type annotation for single-cell RNA-Seq data

Hierarchical RAG architecture scaling to 693K chunks on consumer hardware (4GB VRAM). Features 3-address routing, hybrid vector+graph fusion, and SetFit classification.

Multi AI agent system for financial analysis with CrewAI

OpenClaw AI Trading Agent, based on EVPlus.AI data.

An AI-powered solution designed to enhance mobility for visually impaired individuals by combining real-time video analysis with voice-guided navigation. Also features a built-in Multi-Agent AI Assistant — users can speak naturally to complete map navigation, adjust system settings, send messages to family.

msl-data-ai

AI-powered chatbot designed specifically for legal professionals. It aims to streamline client interactions, provide preliminary legal guidance, and enhance law firm efficiency. The chatbot offers features such as legal document analysis, client intake automation, legal research assistance, appointment scheduling, multi-language support,.

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

A research framework for evaluating proactive AI assistants through active user simulation