BridgeAgent

by innozmy · indexed from github

基于多模态大模型与知识检索的桥梁智能建模平台。只需要提供桥梁图纸,就能自动调用大模型进行识图、建模、分析作业,并将详细信息展示在工作台账本中,且工作台支持工程项目的多用户协同。项目除识图-建模-分析工作链路外,还搭载了RAG知识库管理、人员权限控制、项目信息问询回答等多种功能~

窗口 3 — 前端: 到仓库根目录(和 README.md 同一层)双击 启动前端.bat。第一次会 npm install,然后启动 Vite,并尝试打开 。关掉这个黑窗口,前端就停了。

Indexed · not connectedai-infra
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/innozmy-bridgeagent — read its card at https://meshkore.com/agent/innozmy-bridgeagent/.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/innozmy-bridgeagent
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/innozmy-bridgeagent/.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

ragllm

Do you own BridgeAgent?

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.