Your Intelligence, Orchestrated. Every builder. Every team. Every agent. For Everyone.

Composable agent runtime with enforced isolation boundaries

Open-Source Platform for Subagents and Agent Teams. Long-running, collaborative, proactive.

Crabbox: warm a box, sync the diff, run the suite.

A self-evolving Claude Code plugin. Context routing, memory bootup, smart delegation, self-correction — out of the box.

Tiny Rust port of Pi — a ~4 MB statically-linked coding agent CLI for old/low-resource Linux boxes. OpenAI + Anthropic providers, streaming tool calls (read/write/edit/bash), JSONL sessions, ratatui TUI, Agent Skills, Claude Code-style hooks, -p print mode.

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

Run Coding Agents in Sandboxes. Control Them Over HTTP. Supports Claude Code, Codex, OpenCode, and Amp.

A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end to end.

Run multiple agents in parallel sandboxed VMs, with a single command, on your PC or in the cloud

Minimal by design, explicitly multi-lang, production-ready and battle-tested collection of configs and plugins for your Claude Code agentic development workflows: mcp, configs, skills, agents and more.

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

Agent workflow for deadline-bound execution with evidence gates

Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.

Code Execution Sandbox Platform Solution for Individuals and Small Teams with MCP

Python sandboxes for llms