An extension for the Pi coding agent that enables it to run interactive CLIs and subagents in an observable TUI overlay, allowing for real-time monitoring and user takeover.

A context budget layer for AI coding agents that indexes repositories into symbol graphs to enable precise, tiered retrieval of code and metadata.

A MoE-aware mixed-precision quantization technique for llama.cpp that reduces MoE model size and increases speed while maintaining high accuracy.

A self-hosted AI backend that provides a unified OpenAI-compatible API to connect private data sources and tools to local or hosted LLMs for governed agent deployment.

A Python package for probabilistic time series modeling that uses deep learning and PyTorch to generate forecasts with uncertainty intervals.

A lightweight Python library for creating portable and expressive data transformation DAGs, used to structure ML workflows, ETL pipelines, and RAG systems.

A Python library for building scalable synthetic data pipelines, providing bulk inference and structured output tools to curate high-quality datasets for post-training.

An open-source long-term memory layer for AI agents that enables persistent storage and recall of user preferences and conversational context across sessions.

A comprehensive LLM development suite based on PaddlePaddle that provides tools for efficient training, lossless compression, and high-performance inference across multiple hardware platforms.

An open-source platform for causal learning that recovers causal structures from observational data using a variety of discovery algorithms.

An AI-powered IDA Pro plugin that assists binary reverse engineering through LLM-driven function explanations, automated renaming, and semantic knowledge graphs.

A pure Go port of OpenAI's tokenizer for encoding and decoding text into tokens compatible with OpenAI's models.

A lightweight, self-hosted semantic cache for GenAI workloads that reduces LLM costs and latency by serving cached responses for similar prompts.

A native iOS and macOS workbench for testing and shipping with Apple's Foundation Models framework, featuring a prompt playground, tool integration, and adapter comparison.

An open-source, real-time context infrastructure that synchronizes AI agent sessions, allowing users to share and version context across different AI tools.

A deterministic CLI tool for detecting AI-associated 'slop' patterns and boilerplate in JavaScript and TypeScript repositories using normalized metrics.

An agent skill that mines a repository's history to create a stress-tested VISION.md file, serving as a concrete acceptance policy for project features and contributions.

An SQLite extension that adds graph database capabilities and Cypher query language support to SQLite, enabling embedded graph data storage and querying.

A Python-native toolkit for applied causal inference and econometrics that replaces the need to switch between Stata and R for empirical research workflows.

An agent-friendly bridge that turns ComfyUI workflows into callable skills for AI agents via a CLI and schema-based parameter mapping.

A QoS-based scheduling system for Kubernetes that optimizes resource utilization and reliability for hybrid workloads, including latency-sensitive services and batch jobs.

A secure, Rust-based Apache Iceberg REST Catalog that centralizes access control and table management across multiple compute engines.

A lightweight, self-hosted real-time NVIDIA GPU monitoring dashboard that supports single-machine or multi-node cluster tracking.

A uniform SDK for obtaining, parsing, and analyzing data from biosensors such as EEG, EMG, and ECG, simplifying the development of neurointerfaces.

A Bayesian marketing analytics library providing tools for Marketing Mix Modeling (MMM), Customer Lifetime Value (CLV), and customer choice analysis to optimize marketing ROI.

A Kubernetes API for deploying and managing multi-node AI inference workloads as unified groups of pods, supporting sharded LLMs and disaggregated architectures.

An SDK that allows AI agents to delegate workflows to the visible ChatGPT web interface, enabling structured interaction with Chat and Work experiences via a browser bridge.

A cloud infrastructure and deployment platform that allows users to provision servers and deploy apps across multiple clouds, featuring an MCP server for AI-agent managed DevOps.

A real-time status bar for Claude Code and the Claude macOS desktop app that displays rate limits, context window usage, and prompt-cache freshness.

A security skill for Claude Code that integrates the latest OWASP standards (2025-2026) to help developers find vulnerabilities and implement secure coding patterns.

A modern database client for VS Code and its forks that integrates with AI agents via MCP and Copilot to provide natural language querying and schema management.

A standalone CLI tool that orchestrates Claude Code or codex to autonomously execute implementation plans, featuring a multi-phase AI code review pipeline.

A collection of ComfyUI custom nodes that provide API-based access to a wide array of frontier AI models for image, video, audio, and 3D generation.

A token-compression framework for AI coding agents that reduces Japanese response redundancy to lower API costs and save context space.

An open-source self-hosted ML platform that combines an AutoML engine, a control plane for experiment management, and a web UI for a complete train-to-deploy workflow.

A lightweight search engine supporting full-text, vector, and hybrid search, enabling developers to build fast search and RAG-based chat experiences directly in their apps.

An open-source framework that provides both inherently interpretable glassbox models and tools to explain complex blackbox machine learning systems.

A native macOS menu bar app that lets users use their existing AI subscriptions with professional coding tools by proxying authentication and API routing.

A JAX library that provides PyTorch-like syntax for building neural networks and models by treating them as PyTrees, ensuring full compatibility with the JAX ecosystem.

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

A compiler project that provides a standardized bridge from the PyTorch ecosystem to MLIR, simplifying how hardware vendors deploy PyTorch models to target hardware.

An AI workstation that enables autonomous AI agents to operate a local browser, terminal, and knowledge base to automate complex workflows 24/7.

A minimal and safe Rust API wrapper for the NVIDIA CUDA toolkit, providing safe abstractions for GPU acceleration and kernel management.

A plugin for Claude Code and Codex CLI that provides AI agents with a curated, LLM-optimized knowledge base across 18 core AWS services for automated cloud engineering.

A unified shell environment for AI-driven development that integrates AI coding agents, git diffs, and task trackers into a single multi-pane terminal interface.

A high-performance operator library implemented in Triton that enables LLM training and inference to run across diverse AI accelerators using PyTorch APIs.

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

A collection of utilities, notebooks, and serving components for working with IBM's Granite Time Series Foundation Models for forecasting.