Persistent Linux workspaces for agentic development.

Run AI coding agents in hardened container sandboxes.

Containment for AI agents - user isolation, sandboxed execution, network controls, backup/rollback. TLA+ verified.

MCPCAN is a centralized management platform for MCP services. It deploys each MCP service using a container deployment method. The platform supports container monitoring and MCP service token verification, solving security risks and enabling rapid deployment of MCP services. It uses SSE, STDIO, and STREAMABLEHTTP access protocols to deploy MCP。

Unified CLI for running AI coding agents in isolated containers. Includes built-in local metrics collection, HTTP traffic tracking, and an analytics dashboard to track agent actions.

Secure MCP runtime for AI agents to operate local machines, servers, and containers with multi-device orchestration.

A modern, container-friendly, optionally-distributed, fault-tolerant, highly available, leader-electing, highly configurable, precompiled, multi-architecture, portable, security-hardened, production-ready cron replacement

A collection of AI agent skills for Hermes Agent — research, creative, productivity, devops, and more. Each skill is self-contained and tested.

A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs directly on Anthropic's Agents SDK

The easiest way to run multiple Claude Code sessions, each in its own container, with a dashboard to manage them all. Quick setup with battle-tested sensible defaults and skills.

A Python framework for modular, self-contained skill management for machines.

An MCP server that executes Python code in isolated rootless containers with optional MCP server proxying. Implementation of Anthropic's and Cloudflare's ideas for reducing MCP tool definitions context bloat.

The container platform tailored for Kubernetes multi-cloud, datacenter, and edge management ⎈ 🖥 ☁️

All-in-One Sandbox for AI Agents that combines Browser, Shell, File, MCP and VSCode Server in a single Docker container.

🤖 A visualization mcp & skills contains 25+ visual charts using @antvis. Using for chart generation and data analysis.

A Model Context Protocol (MCP) server that enables LLMs to run ANY code safely in isolated Docker containers.

A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.

Agent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export.

Animated technical diagrams from plain English or Mermaid — a Claude skill, self-contained HTML/SVG.

A self-contained browser engine that fetches, renders, and extracts web content as Markdown, JSON, or screenshots — no Chromium, no API key, no setup.

38 editorial diagram types for Claude Code, Codex, and Pi. Self-contained HTML + SVG. No shadows. No Mermaid slop.

A local sandbox for your AI agents

Convert AI coding agent sessions (Claude Code, Cursor, Codex, Gemini, OpenCode, Kimi Code, Hermes) into self-contained, embeddable HTML replays

Self-hostable workflow orchestrator for teams whose main work isn't orchestration. Declarative YAML over your scripts, SSH commands, containers, etc; keep workflows separate from business logic. One binary, no database, runs on limited H/W resources. Alternative to Airflow / Cron / Job Scheduler.