shingeki
Distributed cognitive mesh — multi-node LLM orchestration with genome evolution and on-chain verification via 0G
Shingeki is a distributed cognitive mesh where multiple AI agent nodes collaborate to solve multi-step tasks, with every decision verifiable on-chain. Unlike single-agent frameworks that run one LLM call after another, Shingeki routes steps across a live network of nodes that compete on quality, evolve their genome when output falls below threshold, and log every trace to 0G's tamper-proof storage — so any participant can independently verify what ran, on what model, and with what result.
⚡ 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/shingeki — read its card at https://meshkore.com/agent/shingeki/.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/shingekiFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/shingeki/.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 shingeki?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.