An orchestration layer for AI agents that automatically discovers, selects, and routes local specialized skills to execute complex, multi-step tasks with verifiable results.

An open-source AI-powered no-code platform for building business systems that allows AI agents and humans to collaborate on a production-proven infrastructure.

AutoGen is a framework for creating multi-agent AI applications that can act autonomously or collaborate with humans using a layered, extensible architecture.

A self-learning skill layer for Claude Code that automatically distills lessons from real sessions into a maintained library of reusable skills.

An open, multi-language framework for building production-grade AI agents and multi-agent workflows in .NET, Python, and Go.

A semi-automated research assistant for AI and CS researchers that streamlines the pipeline from literature review and experimentation to publication-grade writing.

A modern online resume editor with real-time preview and AI-assisted writing to help users create professional resumes easily.

A research agent system for Zotero that allows users to chat with their PDF library, summarize papers, and automate library organization using LLMs.

A collection of specialized agent skills that enable AI agents to create self-contained HTML artifacts like wireframes, prototypes, and diagrams for better visual communication.

An open-source deep research agent that automates web and local document analysis to produce detailed, factual research reports with citations.

An open-source MCP server that enables AI agents to control and interact with the user interfaces of macOS, Linux, and Windows computers.

An open-source AI assistant framework that proactively plans tasks, manages long-term memory and knowledge, and controls computers across multiple messaging platforms.

A personal AI agent that uses interactive inline controls and live browser handoffs to solve the problem of human-in-the-loop requirements for complex tasks.

A lightweight library for building AI agents that can execute tasks by writing Python code, offering model and tool agnostic integrations with sandboxed execution support.

A shared visual medium that turns Unicode text into a canvas for humans and and editable tokens for AI agents to collaborate on visual layouts.

An open-source data framework for building agentic applications by connecting LLMs to private data sources through ingestion, indexing, and retrieval.

An open-source, no-code platform for building databases, applications, and AI agents, providing a spreadsheet-database hybrid with full data ownership.

A soul-driven AI agent with permission-hardened tools and a SQLite-backed Second Brain memory, accessible via CLI, Web, and Telegram.

An unofficial Python API and CLI for Google's NotebookLM (Gemini Notebook), enabling programmatic access to source-grounded AI research, content generation, and agent integration.

A collection of Agent Skills that provide AI coding assistants with best practices and specialized commands for building videos with Remotion.

A tool that analyzes AI agent session transcripts to propose evidence-backed updates to agent memory files and project skills, automating the feedback loop for agent instructions.

A plugin for Claude Code that provides 67 specialized technical skills and structured workflows to improve the AI's accuracy for full-stack development.

An MCP server that enables AI assistants to read LinkedIn profiles, search for jobs, and manage messages using the user's own logged-in browser session.

A free, open-source AI chat platform that provides access to multiple language models through a single interface with local browser storage for privacy.

A hook-first Python runtime for building AI agents that live in shared environments like group chats, featuring a transparent tape-based context and pluggable turn pipelines.

A privacy-focused local AI desktop application that runs LLMs via Ollama, featuring a local knowledge graph and sandboxed agents for completely offline operation.

An AI-powered job search agent that automates job collection, AI scoring, and personalized outreach across multiple recruitment platforms while requiring manual confirmation for all applications.

An open agent skill and prompt standard designed to eliminate defensive writing and excessive hedging in academic and professional prose to make it more authoritative and direct.

A library of composable skills and tools that extend AI agents with capabilities like visual planning, screen memory recovery, and cost-efficient model orchestration.

An agent skill that forces LLMs to write in plain, disciplined English based on the ASD-STE100 aerospace standard to eliminate AI verbosity and jargon.

An open-source AI coding agent available for VS Code, JetBrains, and the CLI that supports over 500 models for code generation, debugging, and autonomous CI/CD tasks.

An SDK for building agent-native applications that enables AI agents to render dynamic UI, share state with the frontend, and deploy across web, mobile, and chat platforms.

An agent skill for Codex, Claude Code, and OpenClaw that translates entire books in parallel using sub-agents, featuring a glossary system for terminology consistency and multi-format export.

An all-in-one AI creation platform for novel writing and interactive role-playing games, featuring integrated AI agents, world-building databases, and version control.

A reusable agent skill that enables LLMs to build and maintain a structured wiki of synthesized knowledge, moving beyond simple RAG by compiling sources into durable, cross-linked markdown pages.

A production-grade Java platform for building Agentic RAG applications, featuring hybrid retrieval, a ReAct-based agent engine, and enterprise-level infrastructure for model reliability and observability.

A private, offline AI assistant for iOS and Android that runs language models and text-to-speech entirely on-device.

VieNeu‑TTS is an open‑source, on‑device Vietnamese text‑to‑speech system (v3 Turbo) that runs on CPU via ONNX (or CUDA via PyTorch for large batches). It offers 48 kHz high‑fidelity speech, 23 preset voices, instant voice cloning from a 3‑8 s clip, emotion tags, batch/conversation mode, and a low‑latency streaming API. An edge‑device variant (v3 Nano) provides faster inference on weak CPUs at reduced quality. The project includes a Gradio web UI and a Python SDK (`vieneu`). A newer v4 model is proprietary and only available through the hosted API.

An AI relationship consultant that analyzes chat logs and relationship dynamics using a multidisciplinary knowledge base to provide emotional support and actionable dating advice.

An autonomous game development generator that uses AI agents to build, asset-generate, and visually verify games for Godot, Bevy, and Babylon.js.

An AI system for the partnership card game GuanDan that uses structured candidate retrieval and PPO reinforcement learning to master complex strategic play.

An open-source, agentic research workspace for brain science that coordinates specialist AI agents to automate literature review, experiment design, and data analysis.

A collection of 23 plugins for hermes-agent that add autonomy, observability, safety guards, and adaptive memory to autonomous AI agents.

A self-evolving AI research system that uses a multi-agent team to autonomously explore, analyze data, and iteratively improve its own skills and scientific judgment.

A Claude skill that implements the Interpretable Context Methodology (ICM) to design agent architectures using folder structures instead of orchestration code.

TabPFN is a pretrained transformer model for tabular classification and regression. Install via `pip install tabpfn`, instantiate `TabPFNClassifier` or `TabPFNRegressor`, and call `fit`/`predict`. It works out‑of‑the‑box on datasets up to 1 M rows (newest checkpoint), handles missing values, and requires no feature scaling. GPU is recommended; a cloud client and extensions (interpretability, unsupervised tools, embeddings) are also provided.

An AI-powered coding agent featuring a dual-speed self-evolution system that improves its performance through real-time prompt injection and long-term fine-tuning.

An agentic workspace that integrates AI agents side-by-side with real applications and chat tools, featuring local-first memory and shared tool access.