A plugin for AI coding assistants that enforces concise, action-oriented responses by removing conversational filler and prioritizing immediate next steps.

A Node.js rendering and validation system that enables AI agents to turn codebases or system descriptions into interactive, validated system maps and architecture diagrams.

An open-source agent harness by DeepSeek AI that uses a plugin-based architecture to simplify the creation and management of AI agents.

A plugin and ruleset for AI coding agents that prevents over-engineering by forcing them to follow a strict hierarchy of simplicity, reducing code bloat and token costs.

An AI-powered Android automation framework that enables AI assistants and test suites to navigate real devices using natural language and multimodal perception.

HyperFrames is an open‑source Node.js framework that lets you describe a video as ordinary HTML + CSS (with special `data-*` timing attributes) and render it to a deterministic MP4. It ships a set of “skills” that AI coding agents can load, so an LLM can be prompted to create product‑launch videos, PR walkthroughs, explainer clips, motion graphics, etc., automatically generating the HTML, pulling assets, lint‑checking, previewing, and finally rendering via a CLI (`hyperframes render`). The system supports many animation runtimes (GSAP, Lottie, Three.js, CSS, etc.), a unified media manager, optional cloud/Lambda rendering, and a catalog of reusable design blocks. Ideal for AI‑driven video generation pipelines and designers who want a web‑first, code‑centric video authoring workflow.

A local-first audio production suite for voice cloning, video dubbing, and long-form audio generation using a variety of open-source TTS and ASR engines.

A collection of composable AI agent skills that apply software engineering fundamentals like TDD and domain modeling to prevent common AI coding failures.

An agent harness operating system that provides AI agents with a coordinated engineering system, including 68 agents and 286 skills to implement professional software engineering workflows.

A lightweight Python utility that converts various file formats (PDF, Office docs, images, audio) into Markdown to make them easily consumable by LLMs and text analysis pipelines.

TeamAI CLI is an npm‑distributed command‑line tool that lets a software team keep AI‑assistant resources (skills, rules, docs, hooks, MCP configs, and a shared knowledge base) in a single Git repo and automatically sync them into local Claude, Codex, Cursor, and other agents. It supports role‑/tag‑based filtering, source subscription, session‑learning capture, a code‑base knowledge graph, and dashboards for usage/knowledge‑base health.

An AI orchestrator that lets developers run multiple CLI coding agents in parallel isolated worktrees to compare and merge their results.

A software development methodology for AI coding agents that enforces structured workflows, TDD, and subagent-driven development to improve code quality and reliability.

OmniVoice is a diffusion‑based, zero‑shot TTS model covering 600+ languages. It offers voice cloning, attribute‑driven voice design, and auto‑voice generation, with fast inference (RTF ≈ 0.025). Install via pip, load the model with `OmniVoice.from_pretrained`, and call `model.generate` (or use the provided CLI tools). Optional FlashInfer kernels give 2‑3× speedup. The repo includes training scripts, a Gradio demo, and a Colab notebook.

A pure C inference engine that enables running frontier MoE models (up to 2.8T parameters) on consumer hardware by treating VRAM, RAM, and NVMe as a single memory hierarchy.

An open-source AI platform that turns topics or documents into interactive classrooms featuring AI teachers, slides, and simulations powered by multi-agent orchestration.

OmniRoute is an open‑source AI gateway that aggregates 350+ LLM providers (including 150+ free tiers) behind a single OpenAI‑compatible endpoint. It auto‑routes requests, applies token‑compression, tracks free‑tier quotas, and works out‑of‑the‑box with zero configuration.

A Prompt-as-Code system and template library for GPT-Image2 that converts prose prompts into structured protocols for stable and controllable AI image generation.

An open-source gateway and router for agent workflows that unifies multiple LLM providers under one API and optimizes model routing based on production traffic.

A tool that rewrites AI-generated text to sound more human by removing 25 common AI writing patterns and optionally matching a user's personal writing voice.

A local context compression layer for AI agents that reduces prompt and response tokens for JSON, code, and text while preserving critical information.

A multi-agent LLM framework that simulates a professional trading firm's workflow to analyze markets and make informed trading decisions.

An open-source toolkit that implements a spec-driven development process for AI coding agents, ensuring software is built from executable specifications rather than ad-hoc prompts.

A MIT‑licensed collection of markdown‑based *Agent Skills* that teach AI coding agents (Claude Code, OpenAI Codex, Cursor, etc.) how to perform marketing tasks—SEO, copywriting, CRO, ads, analytics, and more. Install via `npx skills` or a Claude Code plugin, then ask your agent for help (e.g., “Write a landing‑page headline”) and the appropriate skill runs, providing step‑by‑step guidance.

A native C++ wrapper that enables NVIDIA DLSS Frame Generation on RTX 20 and 30-series GPUs for D3D12 games.

An MCP server that prevents LLM agents from flooding their context windows with raw data by using sandboxed tools, session indexing, and a code-first analysis paradigm.

An open-source agent workflow for AI/ML research that automates idea generation and experiment execution to produce traceable, paper-ready evidence.

A self-learning skill layer for Claude Code that automatically learns, merges, and prunes skills from real user sessions to improve agent performance.

An API for searching, scraping, and interacting with the web at scale, converting website content into clean Markdown or structured data for AI agents.

Clodds is an open‑source, self‑hosted AI trading terminal. It lets you chat (via Claude or other LLMs) to trade on 10 prediction‑market platforms, 7 futures exchanges, and dozens of Solana/EVM DEXs, launch Solana tokens, mine Bittensor, and run 118+ pre‑built strategies. Install with a single npm command, onboard via a wizard, then use the built‑in WebChat UI or any of 21 messaging apps to place trades, run arbitrage scans, or manage risk. The system includes a unified risk engine, full trade ledger, semantic memory, and a marketplace for AI agents.

A desktop application that automatically transforms documents into a structured, interlinked personal wiki using LLMs, featuring a knowledge graph and automated deep research.

A self-improving AI agent with a built-in learning loop that creates and refines skills from experience and maintains persistent user memory across sessions.

herdr is a Rust‑based terminal runtime that keeps AI coding agents (Claude, Codex, Cursor, etc.) running in persistent panes. It detaches sessions, restores layouts after reconnects, supports multiple remote machines, and offers a tmux‑style UI plus a plugin system—all without a heavyweight GUI.

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.

An open-source 3D capability layer that generates editable, printable hardware enclosures and assembly structures from text descriptions, images, and dimensions.

An open-source container and VM runtime for macOS written in Rust that provides a drop-in Docker replacement and isolated microVM sandboxes for AI agents.

An open-source native desktop client for DeepSeek Harness that integrates its Web UI and plugin system into a standalone application for Windows and macOS.

A tool that removes over 20 common patterns of generic AI-generated writing to help authors maintain a personal, human voice in their AI-assisted drafts.

An open-source AI brand visibility tool that audits whether LLMs recommend your product, identifies competitors, and analyzes the sources shaping AI answers.

Graft is an open‑source TypeScript/Node.js tool that builds a local, markdown‑based knowledge graph of a codebase (summaries, key snippets, typed links) using tree‑sitter for structural parsing and optional LLM summarisation. The graph is cached in a `graft/` folder, refreshed only on file changes, and automatically wired into coding agents like Claude Code, Cursor, Codex, and Gemini. Benchmarks claim up to 46 % fewer tool calls, 42 % token savings, 60 % latency reduction, and a 12‑point correctness boost on SWE‑bench. Integration is via a single `graft init` command that writes agent‑specific instruction files; the CLI also offers search, visualization, and telemetry controls. The project is MIT‑licensed and targets faster, cheaper AI‑assisted development.

A modular agent harness and self-extensible coding agent CLI that provides a unified LLM API and state management for AI-driven development.

An adaptive web scraping framework that features self-healing selectors, anti-bot bypass capabilities, and a scalable spider framework for concurrent crawls.

An enterprise world model and bitemporal knowledge graph that integrates ontology and time-awareness to provide a trustworthy, auditable foundation for AI agents and decision-making.

A framework that enables AI agents to control a web browser like a human, allowing them to perform tasks such as filling forms and extracting data through plain-language instructions.

A browser-based design tool for sketching Material 3 Expressive screens and converting them into natural-language prompts for AI coding tools.

Agent Reach is an open‑source Python CLI that equips any LLM‑based AI agent with ready‑made, auto‑updating ways to read webpages, fetch YouTube subtitles, query Reddit, pull GitHub data, and access many other platforms. It selects, installs, and health‑checks the best open‑source tools for each service, registers a `SKILL.md` for the agent, and provides a `doctor` command to diagnose channel status. The project is free, MIT‑licensed, and focuses on safety (local credential storage, no system changes without explicit `--system`).

A local-first workspace for research agents that enables autonomous research loops, parallel exploration, and reproducible experiment tracking via git-native worktrees.

An open-source, agentic video production system that automates research, scripting, asset generation, and editing to create professional videos from plain-text prompts.