A local-first AI agent workbench that enables AI to plan, execute, and verify software development and content creation tasks across a shared GUI and TUI runtime.

An opinionated Agent Skill that prevents AI-generated UIs from looking like generic templates by providing a visual direction selection process and strict professional design standards.

A fully local, uncensored AI companion system that integrates LLMs, TTS, image generation, and Live2D animations to create private, character-driven virtual partners.

CCB (Claude‑Codex‑Bridge) is a cross‑platform terminal UI that lets you run many LLM‑backed CLI agents (Codex, Claude, Gemini, etc.) together in visible panes, define collaboration graphs, share a project‑wide memory file, and even control the workspace from an Android app. Install via npm, configure with a built‑in UI, and manage providers, roles, and rich‑media terminals from the command line.

A local proxy that routes AI tool requests through existing Claude and ChatGPT subscriptions to avoid per-token API costs.

A deterministic orchestration framework that enforces strict, code-defined workflows for AI agents to prevent hallucinations and ensure reliability.

A CLI tool that enables different AI coding agents to message, observe, and spawn each other across terminals to coordinate complex development pipelines.

labelme is a cross‑platform Python/Qt desktop app for drawing bounding boxes, polygons, masks, etc., on images or video. Annotations are saved as JSON and can be exported to VOC or COCO formats, making it a practical tool for creating training data for computer‑vision models. Install via pip, a paid standalone executable, or Linux packages; recent versions add AI‑assisted mask generation (SAM, YOLO‑World).

A fast decision-making layer for LLMs and agents that uses semantic vector space to route requests based on meaning rather than waiting for slow LLM generations.

A training-free universal inpainting sampler for diffusion models that uses a "Think Mode" to improve quality across images, video, and audio.

AutoGluon is an automated machine learning (AutoML) library that finds the best combination of models for tabular, time series, and multimodal data to achieve high predictive performance with minimal code.

A library for evaluating and improving AI models and agents using stateful environments, providing infrastructure for scalable evaluation and RL training.

A comprehensive GRC platform for cybersecurity management that simplifies compliance and risk assessment through a decoupled data model and a vast library of security frameworks.

Fusion is an open‑source AI‑powered software factory that turns plain‑language task descriptions into fully reviewed, merge‑ready code. It coordinates a fleet of LLM‑driven agents, runs each task in its own Git worktree, and presents the whole process on a visual dashboard with configurable workflows and human oversight.

A Go-based CLI for evaluating AI agent skills, allowing developers to scaffold evaluation suites, run benchmarks, and compare model performance.

A closed-loop dataset and benchmark for autonomous driving systems using the CARLA simulator to evaluate driving scores, success rates, and specific driving abilities.

An open-source project providing full hardware and firmware designs for high-performance brushless servo actuators used in robotics.

The official TypeScript and JavaScript library for the OpenAI REST API, providing typed access to text, vision, and real-time multimodal models.

A collection of utilities for LeRobot, providing data conversion scripts, version migration tools, and dataset merging capabilities to streamline robotics dataset preparation.

A self-hosted web platform for running and managing multiple virtual iPhones in a browser using Apple's Virtualization.framework.

A lightweight ONNX Runtime implementation of Kokoro-TTS that enables fast, multi-language text-to-speech generation on CPU and GPU.

A lightweight neural network inference framework for Espressif ESP series chips that enables efficient on-device AI deployment through optimized quantization and memory management.

A communication library for Expert Parallelism that eliminates load imbalance in MoE models by using dynamic redundant experts and zero-copy communication.

A Rust‑based terminal UI and CLI that aggregates, normalises, and indexes the conversation logs of dozens of AI coding assistants into a local SQLite archive. It provides sub‑60 ms lexical search and optional on‑device MiniLM semantic search, with a stable JSON robot‑mode API for automation and diagnostics.

An open-source AgentOS framework for building AI agents and orchestrating their cooperation through a hub-and-channel network system.

A collection of 238 ready‑to‑use “skills” (instruction + code templates) that let AI coding assistants automate common construction‑company tasks such as cost‑database search, BIM‑to‑Excel conversion, report generation, and AI‑driven analytics. Organized into six categories—from production tools to experimental AI/ML pipelines—each skill is a `SKILL.md` file that the assistant reads, generates code for, and the user then adapts and runs. Requires Python 3.9+, an AI coding assistant, and the company’s own data (Excel, IFC, PDFs, photos).

A scalable reinforcement learning framework for LLM agents that enables training across diverse agent types and sandboxes with token-level trajectory recording.

An open-source AI research engine that generates long-form, source-grounded academic drafts with citations verified against CrossRef, OpenAlex, and Semantic Scholar.

A portable, single-file memory layer for AI agents that provides persistent long-term memory and instant retrieval without requiring a database.

Maliang AI Novel Writer (AINoval) is an open‑source web platform that lets Chinese web‑novel authors write long‑form fiction with AI assistance. It bundles a Flutter‑Web rich‑text editor, hierarchical content management, AI‑driven outline/scene generation, structured world‑building trees, prompt/preset handling, and a full admin console for user, model, cost and content‑moderation management. The backend is Spring Boot 3 (Java 21) using LangChain4j for LLM orchestration, MongoDB for storage and Chroma for vector embeddings. Deploy with a single Docker‑Compose file, then create an admin account via the provided script. Ideal for solo writers, writing teams, or platform operators who need AI‑augmented novel creation and robust operational tooling.

An open-source infrastructure layer for building and operating persistent, coordinated, multi-agent systems at organizational scale.

An open-source agentic code reviewer that performs deep architectural audits using a dynamic pipeline and evidence grounding to find systemic vulnerabilities.

An AI desktop companion that provides customizable 3D/2D avatars and enables AI agents to control the user's computer, messaging apps, and live streams.

PennyLane is an open-source software platform designed for quantum computing, quantum machine learning, and quantum chemistry, enabling users to build and implement quantum algorithms across various hardware devices.

A collection of production-ready AI agent recipes and components that can be installed via a single command using a shadcn-compatible CLI.

A high-performance inference engine for Qwen3-TTS that uses CUDA graph capture to enable real-time, low-latency voice cloning and speech generation.

A visual workbench for AI coding agents that replaces linear chat with a tree-structured interface for managing context, inspecting model transactions, and controlling agents remotely.

A distributed knowledge graph database that implements a git-like collaboration model for versioning, branching, and querying linked JSON documents.

A system-wide AI text assistant for Android that allows users to transform, fix, or translate text in any app using inline trigger commands.

pigo is a Go‑based CLI AI coding assistant (a clone of the pi agent) that can read/write files, run shell commands, fetch web content, and interact with many LLM providers. It works in headless script mode or an interactive REPL, supports tool‑level allow/deny lists, project trust, prompt templates, skills, plugins, self‑update, and provides a Go SDK for embedding.

An NVFP4-powered parallel infrastructure for long video generation that optimizes training and inference for real-time, high-throughput performance.

agentacct is a local‑first tool that reads the log files of AI coding assistants (Claude Code, Codex, OpenCode, Hermes, etc.), joins them with the actual commands, file edits and tool calls the agents performed, and produces a per‑task “Work Receipt” showing actions, token cost and an evidence‑tier (agent claim → self‑check → hook‑observed → CI). All data stays on the machine; a macOS GUI, a terminal dashboard (`agentacct tui`) and a local JSON API let you view or query the receipts. Install via a notarized macOS app or with `pipx` on macOS/Linux, run `agentacct onboard` once, then use the UI to audit and trust your AI‑generated work.

A human-centric framework for building and manage real-life AI and ML systems, streamlining the transition from prototyping to production deployment.

A dynamic workflow runtime for building observable, reusable agent graphs using a code-first TypeScript approach to control AI agent execution.

A hat-based orchestration framework that keeps AI agents in an iterative loop with automated validation gates until a task is fully completed.

An open-source, self-hosted knowledge base and task workbench that integrates rich-text/Markdown notes with AI RAG capabilities for private data management.

An operating system for embodied AI that decouples models and skills from robot hardware, enabling a single AI brain to be deployed across heterogeneous robot bodies.

Vibing Steampunk (vsp) is a Go CLI that bridges SAP’s ADT APIs (via RFC or HTTPS) to let AI assistants and developers read, write, debug, and analyse ABAP code and data—without installing anything on the SAP server. It supports full debugging (breakpoints, stepping, variable inspection/modification), AMDP debugging, dump analysis, job/spool handling, documentation extraction, and SAP‑cluster table decoding, and is testable offline via recorded ADT sessions.