swarm-bullet3
Swarm fork of PyBullet with optimized depth-only rendering and simulator loading for robotics benchmark evaluation
The fork is maintained for Swarm benchmark and validator workloads that depend heavily on CPU rendering and fast simulator turnaround. In addition to the upstream physics engine and Python bindings, this fork carries Swarm-specific rendering and loading improvements, including:
⚡ 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/swarm-subnet-swarm-bullet3 — read its card at https://meshkore.com/agent/swarm-subnet-swarm-bullet3/.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/swarm-subnet-swarm-bullet3For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/swarm-subnet-swarm-bullet3/.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
Do you own swarm-bullet3?
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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