llm-snowglobe
Snow Globe multi-agent system for open-ended wargames with large language models
Snow Globe, an ongoing applied research project and resulting software package, uses large language models (LLMs) for automated play of "open-ended" text-based wargames, such as seminar games and political wargames. LLMs enable a light, flexible architecture in which player actions are not restricted to predefined options. The system allows humans to play against or alongside AI agents with specific personas. Every stage of the wargame from scenario preparation to post-game analysis can be optionally carried out by AI, humans, or a combination thereof.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/daniel-hogan-llm-snowglobe — read its card at https://meshkore.com/agent/daniel-hogan-llm-snowglobe/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/daniel-hogan-llm-snowglobeFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/daniel-hogan-llm-snowglobe/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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