FofaMap is a Python CLI that blends FOFA asset search with an AI‑driven agent. It can run classic FOFA queries, translate natural‑language requests into multiple queries, self‑reflect to improve results, grade evidence, export to XLSX/CSV/JSONL, and optionally generate a Nuclei scan plan that requires manual approval. It also provides a REST API and one‑click integration as a tool for AI coding assistants (Cursor, Claude, LM Studio, etc.).

An AI-native database designed for LLM applications that provides high-speed hybrid search across dense and sparse embeddings, tensors, and full-text data.

A skill layer for AI agents that provides a registry and resolver to find, audit, and install the most suitable and trusted reusable skills for specific tasks.

A tiny, self-hosted notification inbox for developers that pushes app events and errors directly to an iOS app via APNs without third-party relays.

A .so loader for static Linux binaries that allows musl-linked executables to load glibc-linked GPU drivers and shared objects without needing a second libc.

A collection of opinionated configurations, sandboxing rules, and hooks for Claude Code to enable secure, high-throughput autonomous AI coding.

An automated video distribution pipeline that handles everything from file monitoring and AI-generated copywriting to multi-platform uploading via browser automation.

A Rust implementation of the Free Spaced Repetition Scheduler (FSRS) that provides tools for scheduling, parameter optimization, and simulation for memory retention apps.

A free, open-source AI API quota monitoring tool that tracks usage and spending across multiple providers in a local dashboard to prevent unexpected throttling.

A tool that continuously synchronizes Chrome browser sessions from a Mac to a remote Linux server, allowing AI agents to use existing authenticated sessions without manual login.

A Rust-native persistent memory substrate for AI agents that enables local semantic retrieval, graph relationships, and adaptive learning across sessions.

An efficient scaling library for reinforcement learning with LLMs that optimizes training and inference across large GPU clusters using a distributed Ray-based architecture.

VeOmni is a versatile framework for scaling the pre-training and post-training of single- and multi-modal models across various hardware accelerators using a modular, trainer-free design.

An open-source communication protocol suite that enables AI agents to securely authenticate, discover, and collaborate across different platforms using standardized identities and messaging.

A Python-based AI inference pipeline toolkit for weather and climate science that provides a unified API to integrate various AI models and data sources.

nnsight is a Python library that lets you trace, read, and modify any intermediate tensor of a PyTorch model (including Hugging Face, Diffusers, and vLLM models) without writing hooks. You write normal Python inside a `with model.trace(...):` block; the library injects your code during the forward pass, lets you save values, compute gradients, generate text step‑by‑step, batch prompts, or run the same trace remotely on NDIF‑hosted large models. Install with `pip install nnsight` and use wrappers like `TransformersModel` to start probing or editing model internals.

A family of streaming Markdown renderers for AI chat and LLM token streams, providing stable partial states and smooth rendering across multiple JS frameworks.

A collection of pre-trained foundation models for materials chemistry that predict atomistic properties across 89 chemical elements.

A centralized guardrail system for AI agents that enforces runtime safety rules to block prompt injections and PII leaks without changing agent code.

An open-source alternative to Claude Artifacts and v0 that allows users to generate and securely execute AI-generated code across multiple frameworks like Next.js and Python.

A CUDA Tile kernel library providing tutorials and examples for tile-based GPU programming to optimize deep learning operators and LLM inference.

A real-time engine for AI agents on the JVM that provides streaming transports, enterprise governance, and durable session management for production-grade agent services.

LitServe is a Python-based framework for building custom inference servers, allowing developers to define their own logic for batching, routing, and orchestration for models, agents, and RAG pipelines.

An AI-powered documentation generator that uses a multi-agent architecture to analyze codebases and automatically create READMEs and AI assistant configuration files.

A platform-agnostic configuration language and SDK for describing AI agents and workflows, enabling portability across different agentic frameworks via runtime adapters.

The official Ruby SDK for the Model Context Protocol, enabling developers to build MCP servers and clients to expose tools and resources to AI hosts.

A tool for Rust projects that computes the CRAP metric to identify complex, poorly tested functions where bugs are most likely to occur.

An MLIR-based machine-learning compiler that converts pre-trained neural networks from frameworks like PyTorch and ONNX into optimized bmodel files for TPU execution.

A high-fidelity LLM inference system simulator used to study performance, plan capacity, and test scheduling optimizations without requiring continuous GPU access.

A zero-config deployment CLI for full-stack projects that enables one-command creation and deployment of a frontend, Worker backend, and database.

The official OpenAI .NET API library that provides convenient, type-safe access to the OpenAI REST API for .NET applications.

An AI model optimization toolkit that composes the best optimization techniques to create efficient ONNX models for cloud or edge inference based on hardware and performance constraints.

An asynchronous Rust library for the OpenAI API and compatible providers, featuring type-safe requests, SSE streaming, and automatic rate-limit retries.

An anti-detection browser server for AI agents that uses C++ engine-level fingerprint spoofing to bypass bot detection via a REST API and CLI.

Docker images for ComfyUI that provide pre-configured environments for NVIDIA, AMD, Intel, and CPU setups to simplify deployment of the node-based AIGC GUI.

A library for fine-tuning LLMs, vision, audio, and OCR models natively on Apple Silicon using an Unsloth-compatible API for easy prototyping and scaling to cloud GPUs.

A context engineering layer for AI agents that reduces token costs and improves accuracy by dynamically selecting and injecting only the relevant tools and skills for each turn.

A GPU-accelerated optimization engine for solving large-scale linear, quadratic, and vehicle routing problems in near real-time.

A collection of pipelines for LLM development that streamlines synthetic data generation, training, and evaluation across local workstations and large-scale GPU clusters.

A suite of Python packages for Neuro AI, providing tools for curated dataset fetching, high-performance data loading, and scalable model training and benchmarking.

A cross-platform notification system for Claude Code and Codex CLI that provides system alerts, sounds, and webhooks to notify users when AI agents complete tasks or require input.

A Spec-Driven Development tool consisting of a desktop app, CLI, and AI agent skills to visually track and manage specifications, change proposals, and tasks.

A collection of trustworthy AI works from Huawei Noah's Ark Lab, featuring a causal structure learning toolchain and a time series foundation model.

A speculative decoding implementation for Apple Silicon that uses block-diffusion draft models to accelerate LLM inference without losing output quality.

A self-contained, full-stack toolkit for single-node LLM reinforcement learning and post-training, supporting both CUDA and Apple Silicon.

Octocode is a structural code intelligence tool that transforms a codebase into a navigable knowledge graph via an MCP server, enabling AI agents to understand dependencies and perform semantic search.

A high-performance job queue for Bun that replaces Redis with SQLite or PostgreSQL, featuring built-in MCP support for AI agents.

A portable, accelerated SQL query, search, and LLM-inference engine written in Rust that enables real-time, data-grounded AI applications without complex ETL pipelines.