madara
Multi-Agent Distributed Adaptive Resource Allocation
The Multi-Agent Distributed Adaptive Resource Allocation (MADARA) Project is a middleware designed to provide core knowledge sharing capabilities for multi-agent robotics and real-time systems. MADARA includes a distributed knowledge base that aggregates changes to knowledge and sends them over an extensible transport system that currently supports UDP unicast, broadcast, and multicast, 0MQ, and RTTI DDS and PrismTech DDS.
⚡ 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/jredmondson-madara — read its card at https://meshkore.com/agent/jredmondson-madara/.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/jredmondson-madaraFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jredmondson-madara/.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 '{ ... }' Do you own madara?
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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