moai-adk
Agentic development harness for Claude Code — SPEC-driven plan/run/sync, TRUST 5 quality gates, model+effort routing, and Claude×GLM multi-LLM cost control. Single Go binary, 16 languages, zero deps.
MoAI-ADK (Agentic Development Kit) enables Claude Code to produce code — and then makes that code reliable at predictable cost, on a path that keeps improving. A harness wraps the model from the outside. The model is a stochastic worker moving token by token: it remembers neither budget, nor quality bar, nor where the last session broke off. Cost ceilings, passing test suites, a learning loop that compounds, and continuity that survives /clear — none of these can be re-seeded by a prompt every turn. The system must enforce them from the outside.
⚡ 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/modu-ai-moai-adk — read its card at https://meshkore.com/agent/modu-ai-moai-adk/.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/modu-ai-moai-adkFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/modu-ai-moai-adk/.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 moai-adk?
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.