An Emacs comint shell that allows users to interact with multiple LLM providers (OpenAI, Claude, Gemini, etc.) directly within their editor.

An open-source real-time AI image generator powered by Juggernaut Lightning Flux and Together AI.

A one-stop AI live-streaming platform that integrates LLMs, streaming TTS, and virtual avatars to create interactive AI bots for multiple streaming platforms.

A workflow layer for AI coding CLIs that adds specialized skills, project knowledge bases, and verification gates to ensure agents complete tasks reliably.

A Git-native control plane that turns Markdown files into repeatable, version-controlled AI agent workflows with built-in behavioral evaluations.

AgentKey is a genuine open‑source tool that adds one‑click, subscription‑based internet access to many LLM agents. It installs a skill and a tiny MCP client, authenticates via a browser, and then lets the agent fetch tweets, Reddit threads, YouTube transcripts, on‑chain data, stock quotes, product listings, etc., without the user handling individual API keys.

A Python-based UI framework for rapidly building web apps, demos, and internal tools without needing to write JavaScript, CSS, or HTML.

A toolkit providing standardized, easy-to-use implementations of popular object detection metrics like Average Precision and IOU to ensure consistent benchmarking across different datasets.

A Lossless Context Management plugin for OpenClaw that replaces message truncation with a DAG-based summarization system and SQLite storage to ensure agents never forget conversation history.

An AI-native ecommerce search platform that uses semantic search and personalization to improve product discovery and conversion for online brands.

A tool that instantly converts Python functions into microservices with auto-generated web APIs and interactive GUIs using FastAPI and Streamlit.

Flux Gym provides a Gradio web UI that lets you train FLUX diffusion LoRAs on 12‑20 GB GPUs. It wraps Kohya‑ss training scripts, offering full script options, automatic model download, optional sample‑image generation, and one‑click publishing to Hugging Face. Install via Pinokio, Docker, or manual venv setup.

A small-parameter Chinese Llama2 implementation providing a full pipeline for pre-training, SFT, and inference, designed to help beginners learn LLM development.

A framework for developing AI agents for Atari 2600 games, providing a standardized interface between the Stella emulator and agent design.

VOICEVOX Engine is an open‑source HTTP server that wraps the VOICEVOX Japanese TTS core. It lets you send text (or a detailed synthesis query) via REST endpoints and receive WAV audio, with support for streaming, user dictionaries, presets, voice morphing, singing synthesis, and optional GPU acceleration. Docker images and a mock mode make deployment easy, and the API is documented at /docs.

Apache OpenNLP is a Java library offering classic NLP tools—tokenization, POS tagging, NER, parsing, etc.—via a modular, Maven‑based architecture and both API and CLI interfaces.

A lightweight background daemon for Claude Code that enables scheduled tasks, periodic heartbeats, and remote control via Telegram, Discord, and Slack.

Poco is a collaborative AI agent workspace that provides a secure sandbox for code execution, project management, and team collaboration via channels and shared artifacts.

An AI accelerator for scikit-learn that speeds up training and inference for tabular data using hardware-specific optimizations for CPUs and GPUs.

A modern web interface for chatting with local LLMs through Ollama, featuring local chat history and Markdown support.

A self-hosted search gateway for AI agents that aggregates multiple search providers into a single Perplexity-compatible API with automatic fallback for high reliability.

The depthai library is the software framework for the Luxonis platform, allowing developers to create AI and computer vision applications on Luxonis hardware.

AugMix is a data processing technique that mixes augmented images and enforces consistent embeddings to improve the robustness and and uncertainty calibration of image classification models.

EnsoAI is an Electron‑based desktop workbench that couples Git worktree management with persistent AI‑agent sessions (Claude, Gemini, Codex, etc.). It provides a built‑in Monaco editor, visual Git UI, 3‑way merge tool, and one‑click IDE bridging, enabling developers to work on multiple branches in parallel while each branch enjoys its own dedicated LLM context.

A batched, nested tensor collection for PyTorch that allows treating a group of tensors as a single tensor for slicing, reshaping, and device transfers.

A framework for efficient, globally distributed AI model training over the internet, featuring fault-tolerant communication and optimized network bandwidth utilization.

An MCP server that automates the Gemini web interface via CDP, enabling AI agents to perform text chat, image generation, and image extraction.

A KV-cache compression method for long-reasoning LLMs that uses trigonometric frequency-domain compression to reduce memory usage by 10.7x and boost throughput by 2.5x without accuracy loss.

A Python SDK for PromptLayer that enables prompt versioning, tracing, and monitoring for LLM applications and agents across multiple AI providers.

An open-source platform for interactive learning that provides scalable individual feedback, automatic assessment, and optional LLM-powered tutoring for universities.

A BERT-based relation extraction model for Chinese text that identifies semantic relationships between entities, achieving over 95% accuracy on the Baidu DuIE dataset.

An MCP server that uses Nano Banana Pro to automatically generate architecture diagrams, flowcharts, and sequence diagrams from codebases and system documentation.

A medical image segmentation framework featuring MSNet and M2SNet architectures that use multi-scale subtraction to accurately isolate pathologies like polyps and lung infections.

Tuna-2 is a unified multimodal model that replaces complex vision encoders and VAEs with direct pixel embeddings to improve both image understanding and generation.

FEDOT is an open‑source Python AutoML framework that automatically designs and optimises machine‑learning pipelines (including preprocessing, feature engineering and models) using evolutionary algorithms. It supports classification, regression, clustering, and time‑series forecasting, integrates with popular ML libraries, offers a simple high‑level API, and provides reproducible pipeline export.

A PyTorch library for maintaining Exponential Moving Average (EMA) versions of models to improve stability and performance, featuring post-hoc synthesis and target representation routing.

A modular and extensible framework for building RAG applications quickly by providing a plug-and-play architecture and reducing boilerplate.

A ComfyUI node for Wan2.2 that fixes slow-motion issues in image-to-video generation by increasing motion amplitude and improving camera movement responsiveness.

A comprehensive TensorFlow Keras pipeline for YOLOv2, v3, and v4 object detection, supporting diverse backbones, advanced training techniques, and on-device deployment.

A high-performance semantic memory system for AI agents that introduces Git-like version control, hierarchical semantic paths, and cryptographic integrity to memory management.

A CLI tool and SDK for running AI agents in isolated, ephemeral microVMs with network allowlisting and secure secret injection via MITM proxy.

PaperForge Research OS v3 is a Python‑based tool that unifies AI‑assisted paper writing, experiment orchestration, artifact tracking, and verifiable publishing. It stores every claim‑to‑evidence link in a SQLite “Scientific Memory”, enforces three execution profiles (writing‑only, research, full), and supports local, Docker, SSH, Slurm, Kubernetes and cloud compute back‑ends. The CLI (`paperforge …`) and a local web UI let users run workflows, approve proposals, compile LaTeX with built‑in templates (generic, CVPR, IEEE, Elsevier), and release a deterministic source bundle after secret‑scanning. Designed for reproducible academic work, it is open‑source under a non‑commercial license.

MORL‑Baselines is a PyTorch library of reliable multi‑objective reinforcement‑learning algorithms (single‑ and multi‑policy, SER/ESR). It follows the MO‑Gymnasium API, provides utilities, automatic W&B logging, and integrates with the Open RL Benchmark for reproducible experiments.

Flock is a Docker‑based service that runs a Claude‑Code powered dev team you control via chat (Telegram, VK, or a text‑only adapter). From a single message it plans, writes, tests, reviews and opens a PR, with optional loops for self‑verification, goal evaluation, scheduled jobs and CI watching. Each chat gets its own isolated workspace and branch, and the system works with GitHub/GitLab/Gitea using a PAT. Deployment is a one‑line `docker compose up -d` after filling a small `.env` file; the core logic lives in `core/agents/` and adapters are thin wrappers.

A local-first macOS app for Apple Silicon that provides private, on-device transcription for meetings, voice memos, and system-wide dictation, outputting structured Markdown files.

A DeepSeek-native coding agent for the terminal that can read code, edit files, and run commands to autonomously solve development tasks.

AI DIAL Chat is a real, full‑stack chat application (React front‑end + NestJS back‑end) that connects to EPAM’s AI DIAL Core LLM service. Delivered as an Nx monorepo, it ships modular UI libraries, multi‑provider OIDC auth, Swagger/OpenAPI docs, and an embeddable iframe overlay. The repo includes scripts for building, testing, and publishing, plus migration guides from a legacy version.

LightM-UNet is a lightweight fusion of UNet and Mamba for medical image segmentation, offering high performance with only 1M parameters.