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Normalizes wearable data — heart rate, sleep, activity, steps — from Garmin, Whoop, Apple Health and more behind one self-hosted API, so you write one integration instead of one per provider. Natural-language AI health automations are planned.
Generates natively editable PPTX from PDFs, DOCX, URLs, or Markdown — producing real PowerPoint shapes, text boxes, and charts (not images). An open-source, model-agnostic, local-first pipeline that integrates with multiple AI editors while keeping your data on-device.
Exposes models available in Kiro IDE/CLI (e.g., Claude and other provider models) as local OpenAI- and Anthropic-compatible proxy endpoints so tools and SDKs can use them. Key features: multi-account failover, streaming, tool-calling, VPN/proxy support, and Docker/Python deployments.
Detects and surgically removes Google's SynthID watermark from images using multi-resolution spectral analysis and a resolution-aware codebook; provides a V3 bypass with high PSNR and strong phase-coherence reduction. Research-focused and intended for analysis/defense, not misrepresentation.
Equips AI coding assistants like Claude Code and Cursor with 75+ executable tools, an MCP server, reusable skills, and a Python library to build on Databricks—Spark pipelines, jobs, dashboards, Unity Catalog resources, and ML workflows—from your editor.
Runs untrusted AI-agent code, commands, and file operations inside isolated sandboxes that scale from local Docker to Kubernetes. One Sandbox Protocol unifies both runtimes, with gVisor, Kata, and Firecracker isolation and SDKs across five languages.
Provides a plug-and-play inference engine that lets language models programmatically inspect, decompose, and recursively call themselves to handle very long contexts; supports local and cloud REPL sandboxes, multiple LLM backends, and trajectory logging/visualization.
Provides an agent-native personalized tutoring platform that combines persistent TutorBots, RAG-powered knowledge bases, and a CLI-first workflow. Designed for extensible agent skills, multi-channel deployment, and long-term learner memory.
Terminal-native AI coding agent that performs hash-anchored file edits, LSP-powered code intelligence, an IPython kernel, and orchestrated subagents—designed for in-terminal development workflows with reproducible, fine-grained code changes.
A Claude Code plugin for long-form serial fiction that keeps characters, timeline, and world rules consistent across hundreds of chapters. Facts are committed to a versioned state store, and review gates flag contradictions before each chapter.
Provides a DiT-based audio–video foundation model plus an official Python inference and LoRA trainer. Ships multiple production-ready pipelines (text/image/audio→video), checkpoints, and performance optimizations (FP8, distilled pipelines) for high-fidelity synchronized audio–video generation.
Provides a Python API, CLI, and agent skill to programmatically access Google NotebookLM — exposing features the web UI omits (batch imports/exports, PPTX slides, mind‑map JSON) and integrating with LLM agents like Claude Code and Codex.