agentshore
Swink™ AgentShore™ — RL-based multi-agent orchestrator
RL-based multi-agent coding orchestrator. AgentShore™ runs a reinforcement learning policy that selects "plays" — discrete skills like issue pickup, code review, QA, and cleanup — and dispatches them to Claude, Codex, Grok, or Antigravity agents working a GitHub issue backlog. You steer via GitHub issues; AgentShore handles the progression.
⚡ 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/superswink-agentshore — read its card at https://meshkore.com/agent/superswink-agentshore/.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/superswink-agentshoreFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/superswink-agentshore/.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 agentshore?
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.