Crawler Summary

GlassCrewAgent answer-first brief

一个基于crewai的玻璃材料智能体 GlassCrewAgent 基于 CrewAI 的多智能体协作系统,用于自动化玻璃材料研究与逆向设计。 概述 GlassCrewAgent 利用 8 个专业 AI 智能体协同工作,覆盖从文献检索、材料属性查询、玻璃组分生成、光电探测晶体逆向设计、FDTD 电磁仿真到 VASP 第一性原理计算的完整研究流程。系统提供 **Web 界面**(Flask + SSE 实时流式推送)和 **命令行**两种交互方式。 工作流 项目结构 快速开始 环境要求 - Python ≥ 3.12 - Conda(推荐)或 pip - $1(conda-forge 安装) - $1(可选,用于 DFT 计算,需超算平台) - $1(可选,用于本地论文语义搜索) 安装 环境配置 复制并编辑 .env 文件,填入你的 API 密钥: 启动 Web 界面提供两个标签页: - **📋 运行日志** — 终端风格实时滚动日志 - **📝 结果视图** — Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

GlassCrewAgent is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Agent DossierGITHUB REPOSSafety: 66/100

GlassCrewAgent

一个基于crewai的玻璃材料智能体 GlassCrewAgent 基于 CrewAI 的多智能体协作系统,用于自动化玻璃材料研究与逆向设计。 概述 GlassCrewAgent 利用 8 个专业 AI 智能体协同工作,覆盖从文献检索、材料属性查询、玻璃组分生成、光电探测晶体逆向设计、FDTD 电磁仿真到 VASP 第一性原理计算的完整研究流程。系统提供 **Web 界面**(Flask + SSE 实时流式推送)和 **命令行**两种交互方式。 工作流 项目结构 快速开始 环境要求 - Python ≥ 3.12 - Conda(推荐)或 pip - $1(conda-forge 安装) - $1(可选,用于 DFT 计算,需超算平台) - $1(可选,用于本地论文语义搜索) 安装 环境配置 复制并编辑 .env 文件,填入你的 API 密钥: 启动 Web 界面提供两个标签页: - **📋 运行日志** — 终端风格实时滚动日志 - **📝 结果视图** —

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Siqiany

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Siqiany

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Oct 9, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

0

Examples

6

Snippets

0

Languages

python

Executable Examples

text

文献检索 → 材料属性查询 → 组分生成 → FDTD 仿真 → 验证 → [迭代] → 最终报告

text

GlassCrewAgent/
├── app.py                         # Flask Web 界面(SSE 实时日志)
├── setup.py                       # 包配置
├── environment.yml                # Conda 环境依赖
├── requirements.txt               # Pip 依赖(版本锁定)
├── .env                           # 环境变量(API 密钥、连接配置)
├── templates/
│   └── index.html                 # Web 前端
├── src/GlassCrewAgent/
│   ├── crew.py                    # Crew 定义与智能体编排
│   ├── main.py                    # CLI 入口
│   ├── config/
│   │   ├── agents.yaml            # 智能体角色与目标
│   │   └── tasks.yaml             # 任务定义与协作流程
│   └── tools/
│       ├── generalCommon.py       # arXiv 检索与 PDF 阅读
│       ├── qdrant_search_tool.py  # 本地论文库语义搜索
│       ├── MPtools.py             # Materials Project API 查询
│       ├── VAE_tools.py           # CVAE 玻璃组分生成
│       ├── meep_tools.py          # FDTD 电磁仿真(Meep)
│       ├── vasp_tools.py          # VASP 入口(仅暴露 6 个高层工具)
│       ├── vasp_platform.py       # 超算平台交互(SSH/API)
│       ├── vasp_simulation.py     # VASP 输入生成与工作流编排
│       └── vasp_analysis.py       # VASP 结果解析与可视化
├── tests/                         # 测试文件
├── output/                        # 生成的报告与仿真结果
└── data/                          # VAE 模型、Qdrant 向量库

bash

# 克隆仓库
git clone <repo-url> && cd GlassCrewAgent

# 方式一:Conda(推荐)
conda env create -f environment.yml
conda activate GlassCrewAgent

# 方式二:pip + conda 混合
pip install -r requirements.txt
conda install -c conda-forge pymeep   # pymeep 仅在 conda-forge 可用

# 安装项目本身
pip install -e .

bash

# === LLM 配置(支持 DeepSeek / Qwen / OpenAI 兼容接口) ===
OPENAI_API_BASE=https://api.deepseek.com/v1
OPENAI_API_KEY=your-api-key
MODEL_NAME=deepseek-chat

# === Embedding 模型 ===
EMBEDDING_NAME=text-embedding-v2
EMBEDDING_API_BASE=https://dashscope.aliyuncs.com/compatible-mode/v1
EMBEDDING_API_KEY=your-api-key

# === Materials Project API ===
MP_KEY=your-mp-api-key

# === VASP 超算连接(可选) ===
SUPERCOMPUTING_HOST=your-hpc-host
SUPERCOMPUTING_USERNAME=your-username
SUPERCOMPUTING_PRIVATE_KEY_PATH=/home/you/.ssh/id_rsa
VASP_MODULE_NAME=vasp-5.4.4
PMG_VASP_PSP_DIR=/path/to/potcar

bash

# Web 界面(浏览器访问 http://localhost:5000)
python app.py

# 命令行
python src/GlassCrewAgent/main.py

bash

# 运行所有测试
python -m pytest tests/ -v

# 单独测试模块
python -m pytest tests/test_MPtools.py -v
python -m pytest tests/test_meep_tools.py -v
python -m pytest tests/test_VAE_tools.py -v

# VASP 端到端测试
python tests/test_vasp_end_to_end.py mp-149

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

一个基于crewai的玻璃材料智能体 GlassCrewAgent 基于 CrewAI 的多智能体协作系统,用于自动化玻璃材料研究与逆向设计。 概述 GlassCrewAgent 利用 8 个专业 AI 智能体协同工作,覆盖从文献检索、材料属性查询、玻璃组分生成、光电探测晶体逆向设计、FDTD 电磁仿真到 VASP 第一性原理计算的完整研究流程。系统提供 **Web 界面**(Flask + SSE 实时流式推送)和 **命令行**两种交互方式。 工作流 项目结构 快速开始 环境要求 - Python ≥ 3.12 - Conda(推荐)或 pip - $1(conda-forge 安装) - $1(可选,用于 DFT 计算,需超算平台) - $1(可选,用于本地论文语义搜索) 安装 环境配置 复制并编辑 .env 文件,填入你的 API 密钥: 启动 Web 界面提供两个标签页: - **📋 运行日志** — 终端风格实时滚动日志 - **📝 结果视图** —

Full README

GlassCrewAgent

基于 CrewAI 的多智能体协作系统,用于自动化玻璃材料研究与逆向设计。

概述

GlassCrewAgent 利用 8 个专业 AI 智能体协同工作,覆盖从文献检索、材料属性查询、玻璃组分生成、光电探测晶体逆向设计、FDTD 电磁仿真到 VASP 第一性原理计算的完整研究流程。系统提供 Web 界面(Flask + SSE 实时流式推送)和 命令行两种交互方式。

工作流

文献检索 → 材料属性查询 → 组分生成 → FDTD 仿真 → 验证 → [迭代] → 最终报告

项目结构

GlassCrewAgent/
├── app.py                         # Flask Web 界面(SSE 实时日志)
├── setup.py                       # 包配置
├── environment.yml                # Conda 环境依赖
├── requirements.txt               # Pip 依赖(版本锁定)
├── .env                           # 环境变量(API 密钥、连接配置)
├── templates/
│   └── index.html                 # Web 前端
├── src/GlassCrewAgent/
│   ├── crew.py                    # Crew 定义与智能体编排
│   ├── main.py                    # CLI 入口
│   ├── config/
│   │   ├── agents.yaml            # 智能体角色与目标
│   │   └── tasks.yaml             # 任务定义与协作流程
│   └── tools/
│       ├── generalCommon.py       # arXiv 检索与 PDF 阅读
│       ├── qdrant_search_tool.py  # 本地论文库语义搜索
│       ├── MPtools.py             # Materials Project API 查询
│       ├── VAE_tools.py           # CVAE 玻璃组分生成
│       ├── meep_tools.py          # FDTD 电磁仿真(Meep)
│       ├── vasp_tools.py          # VASP 入口(仅暴露 6 个高层工具)
│       ├── vasp_platform.py       # 超算平台交互(SSH/API)
│       ├── vasp_simulation.py     # VASP 输入生成与工作流编排
│       └── vasp_analysis.py       # VASP 结果解析与可视化
├── tests/                         # 测试文件
├── output/                        # 生成的报告与仿真结果
└── data/                          # VAE 模型、Qdrant 向量库

快速开始

环境要求

  • Python ≥ 3.12
  • Conda(推荐)或 pip
  • Meep(conda-forge 安装)
  • VASP(可选,用于 DFT 计算,需超算平台)
  • Qdrant(可选,用于本地论文语义搜索)

安装

# 克隆仓库
git clone <repo-url> && cd GlassCrewAgent

# 方式一:Conda(推荐)
conda env create -f environment.yml
conda activate GlassCrewAgent

# 方式二:pip + conda 混合
pip install -r requirements.txt
conda install -c conda-forge pymeep   # pymeep 仅在 conda-forge 可用

# 安装项目本身
pip install -e .

环境配置

复制并编辑 .env 文件,填入你的 API 密钥:

# === LLM 配置(支持 DeepSeek / Qwen / OpenAI 兼容接口) ===
OPENAI_API_BASE=https://api.deepseek.com/v1
OPENAI_API_KEY=your-api-key
MODEL_NAME=deepseek-chat

# === Embedding 模型 ===
EMBEDDING_NAME=text-embedding-v2
EMBEDDING_API_BASE=https://dashscope.aliyuncs.com/compatible-mode/v1
EMBEDDING_API_KEY=your-api-key

# === Materials Project API ===
MP_KEY=your-mp-api-key

# === VASP 超算连接(可选) ===
SUPERCOMPUTING_HOST=your-hpc-host
SUPERCOMPUTING_USERNAME=your-username
SUPERCOMPUTING_PRIVATE_KEY_PATH=/home/you/.ssh/id_rsa
VASP_MODULE_NAME=vasp-5.4.4
PMG_VASP_PSP_DIR=/path/to/potcar

启动

# Web 界面(浏览器访问 http://localhost:5000)
python app.py

# 命令行
python src/GlassCrewAgent/main.py

Web 界面提供两个标签页:

  • 📋 运行日志 — 终端风格实时滚动日志
  • 📝 结果视图 — Markdown 渲染的最终报告,支持下载

智能体

| 智能体 | 职责 | 工具 | |---|---|---| | searcher | 文献检索 | arXiv 搜索、Qdrant 语义搜索、PDF 阅读 | | mp_agent | 材料属性查询 | Materials Project API(结构、带隙、介电常数等) | | composition_generator | 玻璃组分生成 | CVAE 模型(折射率、阿贝数 → 组分) | | photoelectric_inverse_designer | 光电探测晶体逆向设计 | CVAE(波长/带隙 → 新化学式)+ MatterGen GPU 晶体 | | fdtd_simulation_agent | FDTD 电磁仿真 | Meep(透射率/反射率、场分布、谐振频率) | | vasp_calculation_expert | DFT 第一性原理计算 | VASP(结构优化、能带、态密度) | | reviewer | 结果验证 | 组分合理性、仿真结果交叉验证 | | manager | 流程编排 | 任务分发、迭代控制、最终报告生成 |

工具能力

文献检索

  • arXiv 论文搜索与批量下载
  • 本地 PDF 全文解析(PyMuPDF)
  • Qdrant 向量库语义检索(E5 嵌入模型)

材料属性(Materials Project)

  • 晶体结构信息、密度、对称性
  • 带隙查询(按化学式 / 材料 ID)
  • 介电常数、体积/密度查询
  • 按元素搜索材料

玻璃组分生成(CVAE)

  • 输入:目标折射率、阿贝数、平均色散
  • 输出:77 种组分比例 + 玻璃化转变温度 Tg

光电探测晶体逆向设计(新增 CVAE)

  • 输入:目标波长(可选显式带隙)和禁用元素
  • 输出:新的电中性半导体化学式;不将带隙代理表述为探测率、响应率等器件指标
  • 默认第二阶段:MatterGen 按元素体系为每个候选化学式生成一个晶体结构(CUDA 必须可用)。项目会自动发现已安装的 MatterGen;如安装位置不同,配置 PHOTOELECTRIC_MATTERGEN_EXECUTABLE;如模型缓存不在默认位置,再配置 PHOTOELECTRIC_MATTERGEN_HF_HOME。设置 generate_crystal=False 可只输出化学式。

FDTD 电磁仿真(Meep)

  • 1D/2D/3D 仿真单元
  • 连续波 / 高斯脉冲光源
  • 色散材料(Lorentzian 模型)
  • 透射率/反射率谱计算
  • 电场分布提取
  • 谐振频率分析

VASP DFT 计算

  • 一键态密度 + 能带结构计算
  • 结构优化 → SCF → 非自洽能带
  • 9+ 种可视化(DOS、能带、轨道投影、收敛图)
  • HTML 报告生成
  • 双模式连接:SSH / REST API(AK/SK 认证)

测试

# 运行所有测试
python -m pytest tests/ -v

# 单独测试模块
python -m pytest tests/test_MPtools.py -v
python -m pytest tests/test_meep_tools.py -v
python -m pytest tests/test_VAE_tools.py -v

# VASP 端到端测试
python tests/test_vasp_end_to_end.py mp-149

输出

| 内容 | 路径 | |---|---| | 最终报告 | output/final_glass_report_{timestamp}.md | | Meep 仿真 | output/meep_simulations/ | | VASP 计算 | src/GlassCrewAgent/data/vasp_calculations/ |

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/crewai-siqiany-glasscrewagent/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-siqiany-glasscrewagent/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-siqiany-glasscrewagent/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

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Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-siqiany-glasscrewagent/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-siqiany-glasscrewagent/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-siqiany-glasscrewagent/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-siqiany-glasscrewagent/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-siqiany-glasscrewagent/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-siqiany-glasscrewagent/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-09T21:54:02.398Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Siqiany",
    "href": "https://github.com/siqiany/GlassCrewAgent",
    "sourceUrl": "https://github.com/siqiany/GlassCrewAgent",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T15:56:32.256Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-siqiany-glasscrewagent/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-siqiany-glasscrewagent/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T15:56:32.256Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-siqiany-glasscrewagent/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-siqiany-glasscrewagent/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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