LlmSandbox
An interactive LLM NPC sandbox for everyone using local Ollama or LM Studio agents!
Why does this exist? The "Interactive Simulcra of Human Behavior" experiment was an amazing proof-of-concept toward agentic behavior research. It was an excellent "first-step" toward exploring the potential, and dangers, in having agent layers of protection as part of any system. It also explored inter-agent interactions allowing for new goals/plans to be made. But it was limited in true autonomy. The agents could interact, but could not make any real changes to their world. That is why this exists. These agents can interact, can change their world, can drive entire storylines.
⚡ 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/trainerx7979-llmsandbox — read its card at https://meshkore.com/agent/trainerx7979-llmsandbox/.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/trainerx7979-llmsandboxFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/trainerx7979-llmsandbox/.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 LlmSandbox?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.