A high-level machine learning and deep learning library for PHP that provides over 40 algorithms and tools for the entire ML lifecycle.

Kronotop is a distributed, transactional document database built on FoundationDB. It offers cheap, isolated namespaces, ACID transactions, a JSON‑document model (Bucket), an ordered key‑value API (ZMap), and built‑in vector similarity search, all accessible via the familiar Redis RESP protocol.

A collection of reusable SKILL.md workflows that give AI agents persistent state, task tracking, and self-evolution capabilities for long-running projects.

An agent memory management layer that provides long-term, character-aware text and video memory for AI agents, serving as a high-performance alternative to Mem0.

A sequence modeling toolkit for training custom content generation models, featuring a modular architecture and scalable training for models over 70B parameters.

A self-hosted framework that turns an AI coding agent into a persistent Slack teammate that executes tasks on a user-controlled local machine.

A collection of domain-specific instructions that extend AI coding agents with expertise in ClickHouse and chdb for better schema design, query optimization, and infrastructure management.

codedb is a zero‑dependency, Zig‑based server that builds rich indexes (trigram, word, symbol, call‑graph) of a local codebase and exposes them via the Model Context Protocol (JSON‑RPC over stdio). AI coding assistants (Claude Code, Cursor, Gemini CLI, etc.) can query for file trees, outlines, symbol definitions, callers, and full‑text search in sub‑millisecond latency, dramatically reducing token usage. It runs as an MCP daemon (`codedb mcp`) or an HTTP server, updates incrementally via a file watcher, and ships signed binaries for macOS, Linux, and Windows.

An Emacs integration for Aider, bringing AI pair programming and automated code editing to the Emacs editor.

A .NET provider-agnostic SDK for building and orchestrating AI agents and workflows with built-in connectors to 30+ API providers and vector databases.

An AI-driven presentation platform that transforms topics or documents into professional, editable PPTs with automated outlining, research, imaging, and video export.

A comprehensive repository of structured AI conference paper records and a local search tool for analyzing academic literature from major venues like NeurIPS and ICLR.

An encrypted agent-to-agent network that provides AI agents with identity registry, discovery, Signal-encrypted messaging, and on-chain payment settlement via Solana.

A markdown filesystem that makes documentation writable, searchable, and versioned for both AI agents and humans, featuring native MCP support and Git-based auditing.

A local-first shared memory system for AI agents and on-device models that stores searchable memory in a single file on disk without requiring a hosted vector DB.

A lightweight agent workstation and command center for Codex CLI, Claude Code, and ACP-compatible agents, featuring task scheduling and a unified project workspace.

An AI agent workspace for developers to run multiple parallel AI-powered workflows and automate development tasks from a single environment.

GenAI Prices is a multi‑language library (Python, JS/TS, Go) that supplies up‑to‑date pricing data and lookup logic for hundreds of LLM models across dozens of providers, supporting historic rates, tiered pricing, and daily price variations.

A protocol and engine for a permissionless compute network that pools VRAM and compute from distributed GPUs to run massive AI models over the open internet.

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.

World-R1 is a reinforcement learning framework that improves 3D geometric consistency in text-to-video generation by aligning generated videos with 3D constraints without changing the base model architecture.

HY-SOAR is a reward-free post-training method for diffusion models that corrects exposure bias by teaching models to fix their own trajectory errors during generation.

A training framework for Diffusion-DPO that aligns image generation models like Stable Diffusion with human preferences using Direct Preference Optimization.

A PyTorch implementation of diffusion-based generative models for speech enhancement and dereverberation, removing noise and reverberation from audio signals.

A framework for creating LoRA adaptors that act as sliders to precisely control specific visual concepts in diffusion models like Stable Diffusion and FLUX.

An offline, open-source RAG system that lets you ingest local files, GitHub repos, and websites to chat with your data using local Ollama models.

A framework that uses XState state machines to manage AI agent control flow, ensuring agents only perform legal actions and remain deterministic and inspectable.

A suite of multimodal LLMs and datasets designed to enhance spatial reasoning and "spatial supersensing" in video understanding.

A lightweight 3D bounding box labeling tool for point clouds, used to generate training data for 3D object detection and 6D pose estimation.

A cross-platform .NET wrapper for the OpenCV library that enables image-processing functions to be used in .NET compatible languages.

A PyTorch library providing a high-level API for image semantic segmentation, featuring 12 architectures and over 800 pretrained encoders.

A comprehensive speech processing toolset for Node.js that provides offline and cloud-based text-to-speech, speech-to-text, and audio alignment tools without requiring Python or Docker.

A family of diffusion models for high-quality video and image generation from text or images, featuring Pro and Lite versions with strong English and Russian language support.

A local-first long-term memory system for AI agents that automatically captures and updates user preferences and facts across sessions to eliminate AI amnesia.

A collection of LangChain and LangGraph components that integrate AWS services like Bedrock, SageMaker, and DynamoDB for building AI agents and RAG applications.

A Python library for building predictable AI workflows by turning typed functions into structured LLM calls with automatic validation and retries.

A data analysis agent that converts natural-language questions into reproducible analysis workflows, including code execution, visualization, and report generation.

A collection of sample Java applications and patterns demonstrating how to build Generative AI and LLM-powered apps using the Spring AI framework.

An AI-powered video creation tool that transforms text prompts into fully edited videos with scripts, voiceovers, B-roll, and synchronized captions.

A world engine for emergent multi-agent outcomes that allows users to define rules and roles in YAML to simulate complex interactions, research communities, or games.

A markdown-based prompt engineering format and runtime that allows LLM prompts to be defined once and executed across multiple programming languages and model providers.

git‑lrc is a Go‑based tool that installs a global Git hook to run AI‑powered code reviews on every commit. It sends the diff to a configurable LLM (Gemini by default), returns inline comments, risk scores, and a slide‑deck summary, and records the review status in the commit message. Free for up to 30 k LOC/month; paid plans start at $32 per 100 k LOC.

An open-source LLM framework for extracting structured data and insights from documents with precise source references and automatic justifications.

An end-to-end AI platform that simplifies the orchestration of unstructured data, AI pipelines, and model deployment to build RAG and AI-first applications.

A private, local-first AI companion and art generation platform that combines a customizable chat partner with a layered creative canvas.

A no-code GUI and framework for fine-tuning large language models, enabling users to experiment with hyperparameters and advanced training techniques without coding.

A tool that converts trained scikit-learn and Keras models into portable C99 code for efficient inference on microcontrollers and embedded systems.

A native macOS app for Apple Silicon that provides a user-friendly interface to run LLMs, vision models, and image generation locally using the MLX framework.