EverOS is a Python library that provides local‑first, Markdown‑backed memory for LLM agents. It stores conversations and knowledge as editable `.md` files, syncs them with SQLite and LanceDB indexes, and offers keyword or hybrid vector search via a simple HTTP API.

A multi-agent coding workspace that aggregates various AI coding agents into one searchable interface, enabling multi-agent collaboration and unattended task execution via Git worktrees.

An independent tool runtime that gives AI agents secure, controlled access to execute commands, manage files, and automate browsers across multiple local and remote machines.

A high-accuracy document conversion tool that transforms PDFs and other files into structured Markdown, JSON, or HTML, specializing in tables and equations.

A minimal, hackable harness for training LLMs end-to-end on a single GPU node, designed to produce compute-optimal micro-models for under $100.

An AI-native, open-source backend-as-a-service providing Postgres, auth, serverless functions, and an AI gateway with built-in MCP server support for AI agents.

A provider-agnostic TypeScript toolkit for building AI-powered applications and agents with a unified API for multiple LLM providers and integrated UI hooks.

A persistent, structured memory layer for AI agents that captures conversations and and agent execution traces to eliminate session amnesia and reduce token costs.

An antidetect browser SDK that uses engine-level fingerprint spoofing to allow AI agents and automation scripts to bypass bot detection using the standard Playwright API.

A tool that clusters multiple local devices into a single AI cluster to run frontier models that exceed the memory capacity of a single machine.

A document parsing and retrieval system that converts unstructured files into a hierarchy-native memory substrate for AI agents to navigate and cite.

An AI-oriented quantitative investment platform that provides a full ML pipeline for data processing, model training, and back-testing to create AI-driven trading strategies.

A centralized manager for AI agent skills that allows users to install, organize, and sync capabilities across multiple AI coding tools and devices.

A comprehensive collection of ready-to-use agents, commands, and MCP integrations designed to extend the functionality of Anthropic's Claude Code.

A command-line interface for AI Agent Bots to interact with the Octo ecosystem, providing a structured REST client for messaging, documents, and fleet control.

A comprehensive A-share data toolkit with 54 endpoints and 11 layers of architecture, designed as an AI-ready skill file to provide zero-authentication financial data for AI agents and developers.

A dynamic training framework for LLMs that optimizes model performance by intelligently scheduling data selection, mixture, and reweighting during the training loop.

A mod that unlocks and provides advanced controls for DLSS Multi Frame Generation, enabling higher multipliers and dynamic FPS targeting for RTX 40 and 30 series GPUs.

A Python-based machine learning framework that provides GPU-accelerated tensor computation and a dynamic autograd system for building deep neural networks.

A Model Context Protocol (MCP) server that enables AI assistants to browse schemas and make live Solana API calls through the Vybe network.

An open-source desktop workbench for managing multiple pi and DeepSeek Harness (DSH) AI coding agent sessions across local projects.

A TypeScript library for WebGPU that provides typed shader imports and a unified API for running GPU code in the browser, headless Node, and test environments.

A one-click installation kit that automates the deployment of Qwen3.8-27B on consumer NVIDIA GPUs, automatically selecting the best quantization and context size for the available VRAM.

An indexless, agentic search engine that replaces traditional vector databases with a self-evolving knowledge base for real-time retrieval from raw data.

A Model Context Protocol (MCP) server that provides AI agents with unified access to multi-market financial data from providers like Tushare, Qveris, and Binance.

A framework that extends vLLM to provide high-performance serving for omni-modality models, supporting text, image, audio, video, and action outputs across various hardware backends.

An embedded SQLite state reconciliation tool for AI agents and workers that recovers stuck tasks and manages delivery states after service restarts.

An open-source desktop app and MCP server that allows users to share and reuse AI workflows, skills, and connected services across different AI agents and machines.

A format specification and CLI tool for describing design systems to coding agents, combining machine-readable tokens and human-readable rationale.

A cross-platform desktop app for developers to centrally manage configurations, providers, and prompts for multiple AI programming assistants and CLI tools.

A Kubernetes orchestrator that provides isolated, stateful, single-container environments with stable identities, designed for AI agent runtimes and reinforcement learning.

A collection of CLI harnesses that enable AI agents to control WPS/Microsoft Office, Zotero, Adobe Illustrator, and Adobe Photoshop via Windows COM automation.

A motion-first creative web engineering skill for AI agents and developers that uses real-world physics and automated headless verification to build high-touch interactive websites.

A mobile access plugin for DeepSeek Harness that enables real-time remote control and monitoring of AI agents via LAN or public Cloudflare tunnels.

A fast reinforcement learning library that uses custom research-backed algorithms to train high-performance, tiny models in seconds.

A Claude‑skill that watches your work sessions, logs observations, and suggests new or improved Claude skills—including improvements to itself. Install by adding the `.skill` bundle to Claude, let it run, then review its structured logs to keep your skill library evolving automatically.

An AI multimodal domain knowledge engine that transforms raw documents, audio, and video into ontology-powered knowledge services for enterprise AI agents.

A desktop UI that provides a unified interface for managing and running multiple AI coding agents like Claude Code and Cursor.

A high-performance, multi-threaded in-memory data store that serves as a drop-in replacement for Redis and Memcached to increase throughput and reduce cloud resource costs.

WebMCP is a JavaScript/TypeScript library that lets web pages expose their own functions or forms as AI‑callable “tools” with JSON‑schema descriptions. Agents running in the browser (or in iframes) can discover these tools, invoke them, and receive structured results, keeping the page’s UI and state in sync. The project provides an imperative API (`document.modelContext.registerTool`), a declarative form‑based API, TypeScript typings (`webmcp-types`), and permission‑policy support. It aims to make front‑end functionality accessible to AI assistants without requiring separate backend integrations.

An AI-powered research workspace plugin for DeepSeek Harness that integrates literature review, LaTeX writing, experiment tracking, and GPU management into one workbench.

An anti-detection browser server for AI agents that uses a C++ patched Firefox fork to bypass bot detection and provide token-efficient web interaction.

A self-hosted management panel and observability dashboard for the CPA / CLIProxyAPI gateway to track AI request usage, costs, and account health.

A local-first AI memory system that stores conversation history verbatim and uses semantic search for high-accuracy retrieval without needing cloud APIs.

A one-click installer that sets up a leaked DLSS 5 neural-rendering build in DirectX 11/12 games, adding neural rendering and frame generation to games with or without native DLSS support.

delegate‑skills is a Node‑based toolkit that discovers installed AI code‑generation CLIs, lets you map them to named "lanes" (a fleet), and provides thin wrappers (skills) to run those agents head‑lessly, capture their diffs, and return a structured result for human review before committing.

An MCP server that allows AI assistants to automate PCB design in KiCAD using natural language commands.

An AI-powered cybersecurity automation platform that integrates 150+ security tools into an MCP framework for autonomous penetration testing.