@roarpeng/graphflow
A Context-Aware Multi-Agent Orchestration Engine
GraphFlow 为 Cursor / Claude Code 等编码 Agent 提供项目级的"感知与记忆"：把仓库索引成知识图谱，将 Agent 需要的上下文压缩 90%+ token（基准实测 98.7%），并通过 Episodic / Skill / Decision 三类节点让 Agent 跨会话复用项目经验。规划与执行通过 Bridge 模式委托给宿主 Agent 完成——GraphFlow 不持有 LLM 也能完整闭环。
⚡ 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/roarpeng-roarpenggraphflow — read its card at https://meshkore.com/agent/roarpeng-roarpenggraphflow/.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/roarpeng-roarpenggraphflowFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/roarpeng-roarpenggraphflow/.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 @roarpeng/graphflow?
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.