dragonhpc
Dragon is a composable distributed run-time for managing dynamic processes, memory, and data at scale through high-performance communication objects.
Dragon is a distributed environment for developing high-performance tools, libraries, and applications at scale. This distribution package provides the necessary components to run the Python multiprocessing library using the Dragon implementation which provides greater scaling and performance improvements over the legacy multiprocessing that is currently distributed with Python.
⚡ 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/dragon-team-dragonhpc — read its card at https://meshkore.com/agent/dragon-team-dragonhpc/.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/dragon-team-dragonhpcFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/dragon-team-dragonhpc/.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 dragonhpc?
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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