Browser-based agent workspace and sandboxed app platform that lets organizations run AI agents to perform tasks and build shareable 'Gadgets'. Uses Gatekeepers for fine-grained, zero-trust access control and runs on Cloudflare Workers with multi-LLM support.
Turns books, long videos, and podcasts into executable, testable AI agent skills using a structured RIA‑TV++ pipeline. Produces multi-file skill packs (BOOK_OVERVIEW.md, SKILL.md, INDEX.md, DIGEST.md), applies triple verification and pressure tests, and can install skills into Claude Code/Cursor for agent use.
Generates editorial-quality diagrams as self-contained HTML files with inline SVG across 27 visual types; includes brand onboarding, agent-skill integrations (Claude Code, Codex, Pi), draw.io/Mermaid import, and static-first output with optional accessible motion.
Connects an LLM to a real browser over an editable CDP websocket so the agent can drive clicks, navigation, and generate missing helper code during tasks. The harness self-heals by writing reusable helpers, supports local or cloud browsers, and can optionally record sessions for debugging.
Orchestrates multiple LLM-backed agents locally using tmux and per-role git worktrees, converting role prompts into coordinated development workflows. Key features: configurable two-/four-/six-pack workflows, a durable handoff protocol, per-role backend selection and observable terminals.
Runs goal-driven penetration tests by orchestration of an LLM agent and an MCP toolchain to perform reconnaissance, vulnerability discovery, exploitation, and structured PoC/report generation; supports multiple LLM providers and local MCP integrations; for authorized security testing only.
Turns natural-language design briefs into deliverable web pages, app prototypes, slide decks, animations, and infographics. Its multi-direction workflow, brand-asset rules, and design checks help coding agents produce more distinctive visual work.
Monitors and detects risky behavior in enterprise AI agents via high-fidelity telemetry, security benchmarking, and a two-tier detector. Comprises ADR Sensor, ADR-Bench, and ADR Detector; deployed in production at Uber and validated on public benchmarks.
A curated collection of production-ready Agent Skills that turn tasks—presentation production, image generation, local KB retrieval, article assembly, and web-design—into agent-loadable skill folders. Uses a SKILL.md contract, supports multiple agent runtimes (Claude Code, Cursor, Codex), and offers modular install paths with pinned release zips.
Terminal-first developer workspace with an agentic AI side-panel that runs against your API keys or local models. Bundles a native PTY terminal, CodeMirror editor with AI edit diffs, file explorer, git history/graph, and a web preview in a ~7–8MB desktop app with no telemetry.
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.
A library of reusable agent skills that generate, inspect, and hand off CAD, robot-description, and fabrication artifacts. Exports STEP/STL/3MF, writes URDF/SDF/SRDF, slices meshes to G-code, previews files in-browser, and includes off-the-shelf STEP part lookup and benchmarks.