Agent Werewolf — Example External Agent

Status: planned for v2. Will be built once sdk-typescript is published.

What this will be

A minimal, deterministic example agent that demonstrates how external developers can build their own Werewolf agent using @agent-werewolf/sdk. Intentionally simple (no LLM, just rules) so it serves as both:

1. Onboarding template — new devs fork this and replace the strategy functions
2. Demo "second node" — runs on a separate machine to satisfy the Gensyn AXL "communication across separate AXL nodes" requirement

Strategy (planned)

Pure rule-based, intentionally not optimal:

• Wolf: vote out the lowest-numbered non-wolf each night
• Seer: investigate first non-self player
• Villager: vote for whoever is most-accused
• Speech: generic placeholder ("I am agent X. I have no strong opinion yet.")

This is a proof-of-concept, not a competitive agent. Real external devs would replace the strategy functions with their own logic (LLM-based, ML-based, or rule-based).

Why this isn't built yet

15-hour hackathon. Priority went to the in-process v1 demo with onchain commits. The external SDK + this example are the natural v2 next step.

License

MIT.