Ai
Showing 36 of 320 projects
An end-to-end framework for building custom AI applications and agents directly integrated with databases.
A compiler that extends SQL with AI capabilities to train, predict, and evaluate machine learning models directly from SQL statements.
A declarative infographic visualization engine that generates and renders high-quality infographics from AI-friendly syntax.
An open-source, Git-native platform-as-a-service for building, deploying, and scaling applications with self-hosted infrastructure.
MockServer is an HTTP(S) mock server and proxy for mocking, recording, and debugging integrations with external systems.
An engine-agnostic deep learning framework for Java developers, providing a high-level API for model training and inference.
An open-source graph-vector database built in Rust that unifies application data, vectors, and graphs for AI applications.
A React component library and SDK for building AI-driven user interfaces with enterprise-grade components and data stream management.
A modern toolkit for POSIX shell that provides a standard library of modules and an on-demand package system, optimized for AI agents.
A Slack bot that reads and summarizes webpages, documents, and videos using ChatGPT, with voice chat capabilities.
A self-learning vector database with graph intelligence, local AI, and PostgreSQL integration, built for real-time adaptation.
A C++17 library for creating flexible, reactive Behavior Trees, primarily for robotics and game AI.
A CLI tool and library that uses LLMs to generate Infrastructure-as-Code templates, configuration files, and utilities from natural language prompts.
A Rust-based middleware framework for building low-latency, composable, and distributed AI robotic applications using dataflow graphs.
An AI assistant that answers technical questions about codebases, documentation, and programming concepts with source-grounded answers and diagram generation.
A fully customizable AI chat component for websites, connecting to any API or hosting models directly in the browser.
A Neovim plugin that integrates the opencode AI assistant for editor-aware research, code reviews, and requests.
A desktop app that reconstructs Claude Code's full execution trace from local session logs, showing every tool call, subagent, and token.
A debugging and visualization tool for data science, deep learning, and reinforcement learning in Jupyter Notebook.
A Python framework for developing and backtesting algorithmic trading strategies with machine learning.
A collection of autonomous driving datasets and evaluation code for advancing machine perception and self-driving research.
A Ruby client library for the OpenAI API, supporting GPT-5, Realtime WebRTC, and all major endpoints.
A unified web interface for text-to-speech, voice cloning, and audio generation with support for dozens of AI models.
A local-first knowledge base that enables AI assistants to persistently read and write structured notes using the Model Context Protocol.
A powerful Godot Engine addon for creating robust AI systems using behavior trees.
A desktop app for running multiple AI coding sessions in parallel git worktrees to test, compare, and manage AI-assisted development workflows.
An MCP server and plugin that connects AI agents like Claude and Cursor to Unity for AI-assisted game development and runtime AI integration.
A CLI and companion app that spins up a complete, pre-wired local LLM stack with hundreds of services using a single command.
A TypeScript/JavaScript framework for building resilient, stateful language agents as directed graphs.
A hat-based orchestration framework that keeps AI agents in a loop until a task is complete, supporting multiple backends and human interaction.
A Swift community-driven package for interacting with the OpenAI API and other compatible providers.
An AI-powered tool that automatically generates detailed and customizable README files from any code repository.
A lightweight deep learning library with a functional API for composing models, compatible with PyTorch, TensorFlow, and MXNet.
An extensible open-source toolkit for detecting, mitigating, and explaining bias in machine learning datasets and models.
An annotation-driven low-code data platform for building admin backends and AI applications with zero frontend code.
A React data visualization library designed for AI-assisted development, supporting network graphs, streaming data, and coordinated dashboards.
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