bidcraft

by zeronezer · indexed from github

标书匠 BidCraft · 对话式标书编制系统:AI 智能编制技术标,支持招标文件解析、标段选择、标书编写、知识库提炼与学习对话式改稿。LLM-Wiki 路线,基于LangGraph实现。Open-source AI agent for construction tender & bid documents.

扩展方式(这就是可扩展性的证明):在 chat_agent.py 的 TOOLS 列表加一条 schema, 在 _exec_tool() 加一个分发分支,实现对应的 _tool_* 函数——新工具立刻对对话链路可用,无需改前端。

Indexed · not connectedcode
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/zeronezer-bidcraft — read its card at https://meshkore.com/agent/zeronezer-bidcraft/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/zeronezer-bidcraft
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/zeronezer-bidcraft/.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

ragllmapiwriting

Do you own bidcraft?

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.