Provides a local-first web-intelligence layer for AI agents: search, fetch, crawl, extract, cache, find-similar and agent-style research without API keys or per-query billing, running as an MCP server, REST daemon, or SDK.
Build and run node-based AI image and video generation pipelines locally — chain prompts, models, reference images and automations on an infinite canvas. Key differentiators: multi-model pipelines and local-first operation (bring your own kie.ai key), so you keep media and credits under your control.
Connects coding agents to local reverse‑engineering tools so an agent can inspect binaries, apps, and websites and return traced code, evidence, and reconstruction workflows. Supports native (Ghidra/Hopper/IDA), JavaScript/Electron, .NET, APKs, firmware and network captures via an MCP server and CLI.
Turns plain-English system or process descriptions into polished, themeable architecture, workflow, sequence, data-flow and lifecycle diagrams as a self-contained HTML file, with one-click theme toggle, copy-to-clipboard and export to PNG/JPEG/WebP/SVG (native up-to-4× rasterization).
Runs multiple AI agents in parallel inside a single macOS browser, giving each agent an isolated Space that can use your real logins without touching your tabs; controllable via an ego-browser JavaScript skill to perform web automation with fewer tokens and faster task completion.
Runs a local-first AI agent runtime that drives your desktop and automates workflows — browsing, file edits, approved shell commands, document extraction, and scheduled tasks — while integrating local or cloud LLMs (llama.cpp/TurboQuant) and embedding as an HTTP service or Tauri sidecar.
Terminal-native AI coding assistant optimized for the deepseek-v4 model. Provides configurable "thinking" modes and reasoning-intensity controls, agent skills for extensibility, MCP integration, and a shared config with a VSCode plugin.
Charting engine and interpretation dataset for Zi Wei Dou Shu (Purple Star Astrology): deterministic natal chart algorithm, Four Transformations, pattern rules, and large v3/v4 interpretation datasets. Code MIT and data CC BY 4.0; judgment library and AI backend are closed.
Build native desktop apps authored with declarative .native markup and TypeScript (or Zig) compiled to native code, with no browser or JS runtime in the binary. Ships a component catalog, deterministic rendering, hot reload, and an embedded automation server for AI agent workflows.
Lets AI agents produce expressive, polished charts from compact, human-editable semantic specs; the compiler infers layout, scales, and labels and emits Vega-Lite, ECharts, or Chart.js outputs, with an MCP server for agent-driven chart creation and rendering.
Routes code-based AI agents through repeatable reverse-engineering and pentesting workflows and orchestrates local and remote tools (jadx, Frida, IDA, BurpSuite) so agents can triage APKs, binaries, JS, firmware, and CTFs without guessing the toolchain. Includes master routing rules, tool-index detection, MCP integration, and a field-journal for reusable lessons.