agentflow
AgentFlow: A production-grade Go LLM Agent framework with layered architecture, multi-provider LLM support, memory systems, reasoning modes, and workflow engine. 生产级 Go 语言 LLM Agent 框架。
推荐把 llm/runtime/router.VendorChatProviderFactory 视为配置驱动 chat provider 的标准构造入口；只有在你明确需要 provider 包级低级 API 时，才直接使用 llm/providers/openai、llm/providers/anthropic、llm/providers/gemini 构造器。
⚡ 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/basui01-agentflow — read its card at https://meshkore.com/agent/basui01-agentflow/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/basui01-agentflowFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/basui01-agentflow/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own agentflow?
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.