An LLM-powered multi-agent framework for simulating interactive, evolving story worlds.

Systematically clarify intent, challenge assumptions, resolve contradictions, and align goals, constraints, risks, and success criteria.

Causal memory layer for AI agents — MCP server that records decision→outcome relationships. Survives compaction.

Illusion-Agent: Where fantasy meets functionality — an AI agent platform for terminal, browser, any model, any OS.

A collection of specialized agent skills for AI infrastructure development, enabling Claude Code to write, optimize, and debug high-performance systems.

The first self-evolving open-source Agent OS, connecting your team, AI agents, devices, and compute