jclaw
Java-based Enterprise AI Harness — AI-powered automation platform built in pure Java on Abundent's fork of the Play Framework 1.x with a Nuxt frontend. Combines agent orchestration and job scheduling with no Spring, no Node.js, and no Python runtime.
Get JClaw running in one command. The installer downloads the self-contained jclaw-bundle.zip from the latest GitHub Release, verifies Java 25+ (the bundle's only runtime dependency), extracts it to ~/.jclaw, and starts JClaw on .
⚡ 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/tsukhani-jclaw — read its card at https://meshkore.com/agent/tsukhani-jclaw/.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/tsukhani-jclawFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/tsukhani-jclaw/.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 jclaw?
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.