neuroswarms
Neural swarming controller models for multi-agent and single-entity simulations.
This package contains the source code for a neural swarming controller model that supports simulations of both multi-agent swarming and single-entity navigation (based on the activity of an internal 'mental' swarm of virtual particles). Findings based on research using this code were published in the following paper that appeared in the Biological Cybernetics Special Issue on neuroscience-inspired robotics for navigation in complex environments.
⚡ 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/jdmonaco-neuroswarms — read its card at https://meshkore.com/agent/jdmonaco-neuroswarms/.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/jdmonaco-neuroswarmsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/jdmonaco-neuroswarms/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Do you own neuroswarms?
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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