Voice2Action
ALICE and its prior work, Voice2Action: Language Models as Agent for Efficient Real-Time Interaction in Virtual Reality
This package uses LLMs (Large Language Models) to analyze user instruction through action and entity extraction, and divides the execution tasks into canonical interaction subsets with error prevention from the game engine feedback. It combines an "Expand" interaction technique to create an innovative selection and manipulation mechanism for enhanced user experiences.
⚡ 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/yang-su2000-voice2action — read its card at https://meshkore.com/agent/yang-su2000-voice2action/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/yang-su2000-voice2actionFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/yang-su2000-voice2action/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Voice2Action?
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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