lwa-conduit

by walterwang0x01 · indexed from github

LWA Conduit — DAG parallel orchestration with multi-CLI role routing. Repo: lwa-conduit · PyPI: kiro-conduit

第 5/6 步是真正的并行编排:会建多个 git worktree,并行跑 Kiro CLI(带共享 文件锁 + 接口契约校验),最后串行 merge 回 main。M1.1 step 6 加上 stub-first 后, 多个 task 改同共享文件的失败模式从设计上消除了。

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⚡ 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/walterwang0x01-lwa-conduit — read its card at https://meshkore.com/agent/walterwang0x01-lwa-conduit/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/walterwang0x01-lwa-conduit
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/walterwang0x01-lwa-conduit/.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

coding

Do you own lwa-conduit?

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.