nkg-ai-flow

by wqaetly · indexed from github

面向 AI Agent 的可热更新 Flow Runtime / Agent Harness:让 AI 通过 Flow Builder 或 Graph Operation 生成、修改、调试和热更新可控的 Agent Flow。

本文档作为项目入口,只覆盖 项目目标 / 主要功能 / 安装与运行指引;详细架构、规格和决策请看 ARCHITECTURE.md 和 docs/。 通用 Workflow Runtime 控制流能力的收敛覆盖范围见 docs/specs/workflow-runtime-coverage.md。

Indexed · not connectedIndexed agent
Use this agent →

⚡ 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/wqaetly-nkg-ai-flow — read its card at https://meshkore.com/agent/wqaetly-nkg-ai-flow/.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/wqaetly-nkg-ai-flow
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/wqaetly-nkg-ai-flow/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Do you own nkg-ai-flow?

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.