A security monitoring tool that provides endpoint visibility, local detection, and optional pre-action blocking for AI agent activity across desktops, CLIs, and IDEs.

An AI code review tool that diagnoses architectural decay and technical debt by grounding its findings in twelve classic software engineering books.

A native macOS terminal with a programmable control API designed to help developers manage and monitor multiple concurrent AI coding agent sessions.

A library for training speculative decoding draft models that integrate directly with vLLM to reduce LLM inference latency without losing output quality.

A deep learning framework that abstracts away the engineering boilerplate of PyTorch, enabling researchers to pretrain and finetune AI models at scale across various hardware.

An open-source directory and scoring system for AI agent tools, MCP servers, and Claude skills that helps developers find high-quality, security-graded tools for agentic IDEs.

A structural analysis tool that provides coding agents with accurate dependency graphs, blast radius analysis, and project orientation to prevent breaking changes.

A command center for managing multiple AI agents, featuring a Kanban dashboard, automatic Git Worktree isolation for conflict-free coding, and multi-agent collaboration.

An on-device AI inference engine that enables the local and offline execution of GGUF-format LLMs across multiple platforms and languages.

A Python library for online machine learning on streaming data, allowing models to learn from new data points sequentially without needing to revisit past datasets.

A toolkit for building, backtesting, and deploying sports betting models that integrates with scikit-learn and supports automated bet placement via AI agents.

A PostgreSQL extension that adds high-speed graph search and traversal capabilities to existing relational tables using an optimized CSR-based execution layer.

A distributed GPU-accelerated framework compatible with PyTorch for scalable evolutionary computation, offering a vast library of algorithms and benchmark problems.

A remote Model Context Protocol (MCP) server that provides LLMs with tools for web search, academic research, and clean Markdown content extraction via Jina AI APIs.

An open-source observability platform that provides zero-code, full-stack monitoring and distributed tracing for cloud-native and AI applications using eBPF.

An opinionated coding-agent runtime and fork of pi-mono that provides a curated set of builtin extensions and dynamic prompting for AI coding assistants.

An engine-agnostic, high-performance model-routing gateway that centralizes worker management and balances traffic across self-hosted LLM engines and cloud providers.

A self-hosted AI agent platform that turns spare hardware into a distributed compute cluster, providing a framework-agnostic memory system and a full web-based desktop interface.

An MCP server that implements a structured penetration-testing methodology (recon, analysis, validation) to provide LLM-driven security audits with live verification.

A CLI tool that fetches and caches source code from npm, PyPI, crates.io, and GitHub to give coding agents access to package implementations.

A local web-development stack manager for Windows and macOS that provides one-click services and AI-driven control via an MCP server.

A Gemini OAuth plugin for Opencode that enables authentication via Google accounts to access Gemini plans and quotas.

A multi-provider profile and runtime manager that allows users to switch between different AI providers, local models, and account contexts via a unified CLI and dashboard.

Kite is an open-source Kubernetes workspace for multi-cluster operations, observability, and AI-assisted troubleshooting.

A framework for instruction-tuning and post-training open-source language models using SFT, DPO, and reinforcement learning with verifiable rewards.

A high-performance AI API proxy and gateway that unifies Claude, OpenAI, and Gemini APIs into a single entry point with built-in channel management and failover.

A machine-readable OpenAPI 3.1 specification of the OpenAI REST API used to generate typed clients and official SDKs.

A high-performance framework for pretraining, finetuning, and deploying 20+ LLMs with from-scratch implementations and no abstraction layers.

An autonomous software development system that converts GitHub issues or PRDs into validated, merged code using a series of AI-driven SDLC workflows.

An open-source RISC-V based hardware accelerator IP designed for ML inferencing in ultra-low-power wearable devices.

An automatic time series forecasting tool that uses an additive model to handle strong seasonality, holiday effects, and trend shifts.

IREE is an MLIR-based compiler and runtime that lowers machine learning models to a unified IR for efficient deployment across data centers, mobile, and edge devices.

A UI inspector and visual feedback tool for the browser that allows developers to measure and capture precise layout details to provide better feedback to coding agents.

A cross-language programming model for LLM applications that enables typed structured generation, agents, and workflows across TypeScript, Python, Java, C++, Go, and Rust.

A production-ready framework and codebase for building end-to-end LLM systems, covering training, RAG, and deployment on AWS.

A document conversion tool that turns PDFs, Office files, and images into AI-ready Markdown using multimodal vision models, supporting local inference for privacy and cost-efficiency.

A runtime interface for AI agents to execute commands in sandboxed shell environments across various local and remote platforms.

An NVIDIA Python library for building high-performance geometric neural networks that respect 3D symmetries using optimized CUDA kernels and segmented polynomials.

A comprehensive ComfyUI extension suite that optimizes VRAM for large video models and provides visual tools and dashboards to simplify complex AI workflows for beginners.

A unified Linux game library manager that aggregates games from Steam, Lutris, Heroic, and emulators into a single, cover-focused interface.

A catalog of standardized skills for AI coding agents that provide the specialized knowledge and scripts needed to deploy and optimize AI workloads on AMD hardware.

A multi-account OAuth manager for the official Codex CLI that enables account switching, health-aware rotation, and project-scoped storage to bypass rate limits.

A framework for designing the structural topology of AI agents, combining a 9-stage knowledge graph pipeline for memory and task-graph patterns for execution orchestration.

An open-source toolchain that democratizes deep learning for drug discovery, materials science, quantum chemistry, and biology.

A framework for reinforcement learning and search/planning in games, providing a collection of environments and algorithms for multi-agent and single-agent research.

A cloud-native, Kubernetes-native control plane for deploying and managing scalable and cost-effective LLM inference infrastructure.

An MLX-native server for Apple Silicon that lets you run Claude Code 100% locally, eliminating API limits and proxies for faster, private on-device AI coding.

A self-hosted, open-source alternative to LangSmith Deployments that allows you to run LangGraph agents on your own infrastructure using the same SDK and APIs.