AionUi
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Crawler Summary
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
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** —
Public facts
4
Change events
1
Artifacts
0
Freshness
Oct 9, 2026
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Oct 9, 2026
Vendor
Siqiany
Artifacts
0
Benchmarks
0
Last release
Unpublished
Key links, install path, and a quick operational read before the deeper crawl record.
Summary
Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.
Setup snapshot
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.
Vendor
Siqiany
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.
Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.
Extracted files
0
Examples
6
Snippets
0
Languages
python
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
Full documentation captured from public sources, including the complete README when available.
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** —
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。
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。
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
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
# 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 .
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
# 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:
| 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 |
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。# 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
| 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/ |
Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
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"
Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.
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
Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.
Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.
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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
}
]Sponsored
Ads related to GlassCrewAgent and adjacent AI workflows.