KADATH
Evolutionary multi-agent runtime that breeds, evaluates, and improves autonomous agents across reproducible epochs to converge on optimization of a goal.
KADATH takes a goal and spends an ungodly number of model tokens evolving agents that are progressively better at achieving it. Over multiple generations, a population of agents attempts the goal, gets independently graded against a measurable benchmark, learns from the strongest performers, mutates, reproduces, and weeds out weak approaches. Instead of betting everything on one prompt or one agent, KADATH uses repeated competition and selection to produce the best agent it can for the user's intended outcome.
⚡ 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/i3t4an-kadath — read its card at https://meshkore.com/agent/i3t4an-kadath/.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/i3t4an-kadathFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/i3t4an-kadath/.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 KADATH?
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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