No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Abhinesh2004 · Agent Tool · ★ 116
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RealmForge A Generative Agent Swarm for Persistent, Narratively-Coherent Simulated Worlds Imagine a living novel—one where every character possesses genuine memory, learns from their experiences, and drives their own story forward without a pre-written script. RealmForge is an open-source platform for orchestrating vast swarms of LLM-powered agents, each with unique identities, goals, and evolving relationships, all operating within a structured world model that persists across sessions. Built on the conceptual foundations of AgentOS-style frameworks, RealmForge moves beyond simple chat-based interactions to create emergent narratives, complex economies, and simulated societies that your community can explore, observe, and even influence. Think of it as a simulation engine for the imagination. Whether you are a worldbuilder seeking to populate your setting with believable inhabitants, a game designer prototyping deep NPC interactions, or a researcher studying emergent social behavior in language models, RealmForge provides the scaffolding.
| Stars | 116 |
| Forks | 0 |
| Language | HTML |
| Category | Agent Tool |
| Quality Score | 54.7198901781875/100 |
| Last Updated | 2026-08-19 |
| Created | 2026-06-28 |
| Est. Tokens | ~19k |
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mirage-cortex is Top Agent Swarm Simulation Tools for LLM World Modeling 2026. It is categorized as a Agent Tool with 116 GitHub stars.
mirage-cortex is primarily written in HTML. It covers topics such as agentos, ai-agents, ai-simulation.
You can find installation instructions and usage details in the mirage-cortex GitHub repository at github.com/Abhinesh2004/mirage-cortex. The project has 116 stars and 0 forks, indicating an active community.
The top alternatives to mirage-cortex on Agent Skills Hub include agentos, Agent-Wiz, conductor-orchestrator-superpowers. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.