Nixtla offers a Python SDK to call TimeGPT, a large transformer model for zero‑shot time‑series forecasting and anomaly detection. The SDK handles API authentication, request/response handling, and optional plotting, and supports fine‑tuning, exogenous variables, multi‑series forecasts, and Snowflake deployment. The model itself is hosted (closed‑source) and accessed via an API key; the SDK is Apache‑2.0 open source.

A collection of demonstration and educational samples for building AI agents using the Strands Agents framework in Python and TypeScript.

TuriX is an open-source computer-use agent that allows AI models to perform real actions on a desktop GUI across macOS, Windows, and Linux without needing app-specific APIs.

An agentic, local-first RAG system that provides citation-aware answers to questions about documents, featuring multimodal search and sandboxed Python analysis.

An intelligent dialogue system that allows users to build custom Q&A services by combining their own document knowledge bases with LLMs using Retrieval-Augmented Generation.

A local-first AI job intelligence workbench that scrapes job leads, ranks them by fit using GraphRAG and vector search, and generates tailored application materials.

An AI-powered content production pipeline that automates data collection from social platforms and uses a 6-step editorial workflow to generate high-quality, human-like articles.

A governed, local-first agent runtime for Python that provides strict permission controls, persistent memory, and tool connectivity via MCP/ACP.

An AI-native data analysis platform that uses LLMs to allow users to explore, query, and visualize data from multiple sources via natural language conversations.

An open-source Vedic astrology platform providing an AI astrologer, calculation libraries, and datasets for integrating astrological predictions into software.

A collection of Claude Code skills that provide multi-agent academic reviews for research papers, grant proposals, and pre-analysis plans, including paper-code reproducibility checks.

A multi-agent simulation platform that creates grounded AI personas to simulate social and market reactions to specific scenarios across platforms like X and Reddit.

A collection of 80+ production-ready Python examples for building autonomous AI agents and multi-agent systems using uAgents, ASI:One, and various LLM frameworks.

A lightweight UI agent that enables cross-platform automation and UI testing using natural language instructions instead of scripts.

A multi-agent workspace that transforms existing AI CLI tools into a unified orchestration hub for parallel execution and automated workflows.

An open-source Text2SQL tool that uses graph-powered schema understanding to convert plain-English questions into SQL queries for PostgreSQL and MySQL databases.

An open-source, self-hosted AI agent for companies that integrates with workplace tools to gather context, analyze data, and execute tasks across systems.

An AI-powered agent and MCP server that allows AI IDEs to autonomously design, deploy, and troubleshoot Home Assistant automations and dashboards using natural language.

A Neovim chat interface for AI agents that implements the Agent Client Protocol (ACP), allowing seamless integration with various AI providers and terminal-based sessions.

A multi-agent collaboration system for open-domain research that transforms queries into citation-grounded relational schemas to ensure comprehensive and traceable information retrieval.

A self-hosted web search and browsing skill for AI agents that uses a three-tier escalation system to bypass anti-bot protections and eliminate hallucinations.

A runtime for Recursive Language Models that allows LLMs to solve complex, adaptive workflows by writing and executing Python code in a sandboxed REPL.

An MCP server that connects AI assistants to South Korea's MOLIT real estate API to provide live transaction data and financial investment simulations.

A collection of official and external plugins for GitHub Copilot that extend its capabilities through skills, hooks, and Model Context Protocol (MCP) servers.

The official Svelte MCP server that allows AI models to interact with Svelte-related data and tools using the Model Context Protocol.

A full-stack agentic engineering framework that provides a unified system for building, reasoning, and deploying secure, multi-tenant AI agents with integrated tools and runtime.

A community-maintained archive that tracks the evolution of prompts and feature flags for Claude Code across releases.

A self-improvement plugin for Claude Code, Codex, and OpenCode that turns user corrections and successful interactions into durable, reusable skills and rules.

A PyTorch framework for generative recommendation that uses an RQ-VAE to map items to semantic IDs and a Transformer to predict the next item.

A multi-agent scaling system that coordinates diverse AI agents to solve complex tasks through parallel processing, iterative refinement, and collective consensus voting.

An orchestration framework for agentic AI and LLM applications that streamlines the creation of RAG pipelines and multi-agent workflows.

A production-grade, config-driven multi-agent orchestration middleware that governs conversational AI agents through intelligent routing, persistent memory, and API orchestration.

A Ruby gem providing a unified interface for LLMs, vector databases, and prompt management to build RAG applications and AI assistants.

An AI-maintained knowledge base for Obsidian that compiles raw sources into a structured wiki, avoiding RAG by pre-building cross-references and compounding knowledge over time.

A library of reusable Agent Skills and workflows for AI agents, covering everything from prompt optimization and document interpretation to system operations and career coaching.

A plugin for AI agents that exhaustively crawls and analyzes South Korean government support programs to match startups with funding and grants based on their specific profile.

A visual configuration platform based on LangGraph that allows users to build complex AI agents using a drag-and-drop interface with customizable state variables for precise logic control.

A multi-agent legal analysis system that uses a debate protocol and three-layer verification to produce evidence-based findings from legal documents.

An open-source framework for training LLM-based multi-agent systems using reinforcement learning, featuring tree search augmentation for complex reasoning and code generation.

A robust, multilingual sentence and paragraph segmentation library that uses AI models to split text into semantic units, even without punctuation.

An open-source ecosystem for engineered language and structured protocols that provides tools like the Polaris Goal Compiler and Problem Map 3.0 to improve AI execution and debug broken workflows.

Whale is a DeepSeek-native AI coding agent that provides high-speed, low-cost automation for reading files, editing code, and running commands via a terminal-based interface.

A collection of specialized agent definitions for Claude Code that provide focused expertise for code review, implementation verification, and UI testing.

A risk-free paper trading simulator for AI agents that uses real Polymarket order books and fee models to test trading strategies without risking capital.

AWorld is an agent orchestration framework that allows experts to encode their domain knowledge into reusable skills to build and evolve autonomous, high-precision AI agents.

A modified GPT-2 model designed to predict the progression and timing of human diseases based on patient health trajectories from the UK Biobank.

An open-source framework of 100+ text-based games used to benchmark and train LLM agents in competitive and cooperative environments.

tslearn is a Python library that brings scikit‑learn‑style machine‑learning tools to time‑series data, offering preprocessing, classification, clustering, regression, and similarity metrics, all compatible with standard scikit‑learn pipelines.