An end-to-end memory infrastructure for AI that provides agents and applications with persistent, selective, and queryable memory across sessions and model changes.

A team-architecture factory for Claude Code that automatically generates specialized agent teams and skills based on a domain description.

A tool that records user screen activity and uses GitHub Copilot to convert those demonstrations into reusable skills and automations for AI agents.

An open-source operating system for robotics that upgrades driver assistance systems in over 300 supported cars.

llm‑wiki is a cross‑runtime tool that lets Claude, Codex, OpenCode, Pi and other LLM agents build and query a structured, Obsidian‑compatible wiki. It provides ingestion, parallel research, session memory, private adapters, and exportable knowledge checkpoints, with install scripts for each supported agent.

A consistency system for long-form AI web novel writing that prevents narrative drift by tracking facts, settings, and foreshadowing through a structured commit-based pipeline.

A population-scale infrastructure for evaluating AI systems and products by simulating diverse, persona-driven LLM agents across web, app, and chat environments.

An all-in-one toolkit for creating interactive AI characters (AITubers) with support for various LLMs, TTS engines, and 2D/3D avatars.

A standard Python library and API for developing and comparing reinforcement learning algorithms across a wide variety of simulated environments.

A 10-week, hands-on roadmap for engineers to build, instrument, and optimize an OpenAI-compatible LLM inference service in production.

An agent-centric workflow for using coding agents to research, implement, and optimize performance-sensitive CUDA kernels.

Z3r0 is an AI‑native red‑team workbench that combines a React UI, FastAPI control plane, multi‑agent runtime with LightRAG retrieval, and Docker‑sandboxed execution. It records every action as immutable evidence and provides replayable timelines, making authorized penetration testing auditable and collaborative.

An open-source, Swedish-compliant accounting software for sole traders and limited companies that is agent-native, allowing AI to handle bookkeeping via the Model Context Protocol.

An MCP server that enables AI assistants to control Adobe Photoshop using plain-language commands for tasks like background removal and portrait retouching.

A library for post-training foundation models using techniques like SFT, DPO, and GRPO to align them with human preferences and specific tasks.

An AI-powered digest that tracks and summarizes content from top AI researchers and engineers, delivering curated technical insights to messaging apps via an AI agent.

A node-based terminal manager that organizes terminals and AI agents on an infinite spatial canvas, featuring persistent sessions and a built-in kanban board.

An API skill package that enables AI coding tools to interact with EasyEDA Pro for automated debugging and extension development.

A minimalist, terminal-native coding agent written in C that supports local and cloud LLMs with a focus on low resource usage and Unix philosophy.

A local OSINT research tool for Instagram that analyzes account relationships using a repeated-appearance model to generate ranked candidate lists and network visualizations.

Trail of Bits Skills is a Claude Code/Codex plugin marketplace that adds dozens of security‑focused “skills” (e.g., static analysis, smart‑contract auditing, YARA rule authoring, mutation testing). Install it with a single `/plugin marketplace add trailofbits/skills` command, then invoke individual plugins from the LLM to run concrete analyses and get structured results.

An open-weight 11B-parameter model series for real-time and offline video understanding, featuring a cross-attention architecture that supports interruptible, streaming interaction.

An automated AI-powered tool for movie and TV commentary videos that handles scriptwriting, video editing, voiceovers, and subtitles in one workflow.

An open-source AI orchestration framework for building production-ready RAG systems, autonomous agents, and LLM applications in Python.

An open-source data movement platform that provides 600+ connectors to sync data from APIs and databases into warehouses, lakes, or directly into AI agents as real-time tools.

A cross-platform 3D reconstruction engine using Gaussian splatting that runs on WebGPU and the Burn framework to support macOS, Windows, Linux, Android, and browsers.

A series of pocket-sized multimodal LLMs designed for efficient on-device deployment, enabling high-performance image, video, and real-time omnimodal interaction on mobile phones.

A tool that converts any Git repository or local directory into a single, prompt-friendly text digest for LLMs, providing code context and token statistics.

An autonomous orchestrator that keeps AI coding agents running in a loop of incremental, committed changes to complete long-term objectives while the user is away.

HelloAgents is a Python library that provides a production‑grade framework for building multi‑agent AI applications. It wraps OpenAI‑compatible, Anthropic, and Gemini LLMs, offers built‑in tools (file I/O, task delegation, todo tracking), and includes engineering features such as context management, session persistence, circuit‑breaker, optimistic locking, observability, streaming SSE, and async lifecycle. Install via `pip install hello-agents`, configure a `.env` with your API credentials, and start agents like `ReActAgent` with a registered tool set.

An AI video production workflow that uses Claude Code and Seedance 2.0 to transform stories into consistent, multi-episode video series.

A multi-stage serving runtime for omni, speech, and TTS models that optimizes generation across heterogeneous compute stages.

A private, offline audio and video transcription tool that uses AI models like Whisper to convert speech to text locally on your device.

A workspace to build, deploy, and manage AI agents and workflows, featuring a visual builder, 1,000+ integrations, and integrated data management.

A multi-channel agent framework that enables AI agents to communicate over real conversation surfaces like iMessage, SMS, and Slack instead of web chat.

A framework for humanoid whole-body control featuring SONIC, a foundation model that enables robots to perform a wide range of natural human-like movements learned from large-scale motion data.

A Markdown-native task manager and Kanban visualizer designed to help humans review AI-agent specifications and plans before code is generated.

An agent skill that extracts visual design identities from references into a machine-readable JSON "Design DNA" to ensure faithful and deterministic UI implementation.

A comprehensive collection of extracted system prompts from Claude Code, providing transparency into the instructions used by its various agents and tools.

A TypeScript SDK that enables AI agents to control Chrome browsers by writing and executing JavaScript via a persistent V8 REPL and raw CDP.

A visual-text foundation model for Document AI that provides a multilingual vision encoder and specialized models for document parsing and understanding.

A remote control hub for AI coding agents that allows users to manage sessions, approve requests, and run commands via mobile apps or web interfaces.

A client-side JavaScript library that embeds an AI agent into web pages for natural language DOM manipulation and automation without requiring headless browsers.

An AI-powered news radar that fetches, deduplicates, and filters news from multiple sources to generate personalized daily briefings delivered via email, webhooks, or a website.

A persistent memory and knowledge plane for AI coding agents that eliminates repetitive corrections through self-correcting SQLite-backed memory and auto-growing research wikis.

A high-performance vectorized backtesting library that uses NumPy, Numba, and Rust to test thousands of trading strategy configurations simultaneously.

DeepWiki-Open is an automated tool that analyzes code repositories to generate interactive wikis, visual diagrams, and guided codemaps for documentation.

A GPU-accelerated open-source framework built on NVIDIA Isaac Sim for simplifying robotics research in reinforcement learning, imitation learning, and motion planning.