Xpersona

Crawler Summary

mimo-content-hub answer-first brief

基于 CrewAI 和 MiMo 大模型构建的多 Agent 协同内容运营中枢。 MIMO Content Hub **多 Agent 协同自动化全链路内容运营中枢系统** 基于小米 MIMO 大模型平台构建的三 Agent 协同内容运营引擎，实现从热点追踪 → 文案撰写 → 三审三校的全流程自动化。 $1 $1 $1 --- 核心痛点 企业新媒体运营在以下环节存在严重的人力协同损耗与信息滞后： | 环节 | 痛点 | 当前耗时 | |------|------|----------| | 热点追踪 | 多源信息分散，人工筛选效率低 | 2-3 小时/天 | | 素材整合 | 跨平台搜集，格式不统一 | 1-2 小时/篇 | | 长文案撰写 | 从零构思，多轮修改 | 3-5 小时/篇 | | 三审三校 | 多人协作，沟通成本高 | 2-4 小时/篇 | **MIMO Content Hub 目标：将单篇内容产出周期从 8-14 小时压缩至 30 分钟。** --- 系统架构 Agent 职责 | Agent Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

mimo-content-hub 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

CardFactsSnapshotContractTrust
Agent DossierGITHUB REPOSSafety: 66/100

mimo-content-hub

基于 CrewAI 和 MiMo 大模型构建的多 Agent 协同内容运营中枢。 MIMO Content Hub **多 Agent 协同自动化全链路内容运营中枢系统** 基于小米 MIMO 大模型平台构建的三 Agent 协同内容运营引擎，实现从热点追踪 → 文案撰写 → 三审三校的全流程自动化。 $1 $1 $1 --- 核心痛点 企业新媒体运营在以下环节存在严重的人力协同损耗与信息滞后： | 环节 | 痛点 | 当前耗时 | |------|------|----------| | 热点追踪 | 多源信息分散，人工筛选效率低 | 2-3 小时/天 | | 素材整合 | 跨平台搜集，格式不统一 | 1-2 小时/篇 | | 长文案撰写 | 从零构思，多轮修改 | 3-5 小时/篇 | | 三审三校 | 多人协作，沟通成本高 | 2-4 小时/篇 | **MIMO Content Hub 目标：将单篇内容产出周期从 8-14 小时压缩至 30 分钟。** --- 系统架构 Agent 职责 | Agent

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

Fireworm123

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Unpublished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.

View Source

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

Fireworm123

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

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

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

┌──────────────────────────────────────────────────┐
│                ContentWorkflow                   │
│              (多 Agent 协同编排引擎)               │
└──────────────────────────────────────────────────┘
         │              │              │
    ┌────▼────┐   ┌────▼────┐   ┌────▼────┐
    │ Research │   │ Writing │   │ Editor  │
    │  Agent   │──▶│  Agent  │──▶│  Agent  │
    │ 联网搜索  │   │ RAG+写作 │   │ 三审三校 │
    └─────────┘   └─────────┘   └────┬────┘
         │              │              │
         │              │         ┌────▼────┐
         │              │         │  打回重写  │
         │              │         │  (闭环)   │
         │              │         └─────────┘
    ┌────▼────┐   ┌────────────┐
    │ WebSearch│   │ KnowledgeBase│
    │ WebScrape│   │  (ChromaDB) │
    └─────────┘   └────────────┘

bash

git clone https://github.com/your-org/mimo-content-hub.git
cd mimo-content-hub
pip install -e .

bash

cp .env.example .env
# 编辑 .env 填入你的 MIMO API Key 和其他配置

ini

MIMO_API_KEY=your_mimo_api_key_here
MIMO_API_BASE=https://api.mimo.xiaomi.com/v1
MIMO_MODEL=mimo-chat-large

bash

# 1. 索引品牌知识库
mimo-hub index -d ./knowledge_base

# 2. 执行内容运营工作流
mimo-hub run \
  -q "AI 行业趋势 2026" "大模型企业应用" \
  -t article social_post \
  --audience "企业管理者" \
  --tone "专业"

# 3. 查询知识库
mimo-hub query "品牌定位和核心价值主张" -k 5

# 4. 查看统计
mimo-hub stats

python

import asyncio
from src.orchestrator import ContentWorkflow
from src.models.content import ContentType

async def main():
    workflow = ContentWorkflow(quality_threshold=0.75)

    result = await workflow.run(
        search_queries=["新能源汽车 行业动态 2026"],
        content_types=[ContentType.ARTICLE, ContentType.SOCIAL_POST],
        target_audience="汽车行业从业者",
        tone="专业",
        seo_keywords=["新能源", "智能驾驶", "充电桩"],
        brand_guidelines="我们是一家新能源汽车科技公司的市场部...",
    )

    for draft in result.approved_drafts:
        print(f"✅ {draft.title}")

    print(f"Token 消耗: {result.total_tokens:,}")

asyncio.run(main())

Docs & README

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

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

基于 CrewAI 和 MiMo 大模型构建的多 Agent 协同内容运营中枢。 MIMO Content Hub **多 Agent 协同自动化全链路内容运营中枢系统** 基于小米 MIMO 大模型平台构建的三 Agent 协同内容运营引擎，实现从热点追踪 → 文案撰写 → 三审三校的全流程自动化。 $1 $1 $1 --- 核心痛点 企业新媒体运营在以下环节存在严重的人力协同损耗与信息滞后： | 环节 | 痛点 | 当前耗时 | |------|------|----------| | 热点追踪 | 多源信息分散，人工筛选效率低 | 2-3 小时/天 | | 素材整合 | 跨平台搜集，格式不统一 | 1-2 小时/篇 | | 长文案撰写 | 从零构思，多轮修改 | 3-5 小时/篇 | | 三审三校 | 多人协作，沟通成本高 | 2-4 小时/篇 | **MIMO Content Hub 目标：将单篇内容产出周期从 8-14 小时压缩至 30 分钟。** --- 系统架构 Agent 职责 | Agent

Full README

MIMO Content Hub

多 Agent 协同自动化全链路内容运营中枢系统

基于小米 MIMO 大模型平台构建的三 Agent 协同内容运营引擎，实现从热点追踪 → 文案撰写 → 三审三校的全流程自动化。

Python License MIMO

核心痛点

企业新媒体运营在以下环节存在严重的人力协同损耗与信息滞后：

| 环节 | 痛点 | 当前耗时 | |------|------|----------| | 热点追踪 | 多源信息分散，人工筛选效率低 | 2-3 小时/天 | | 素材整合 | 跨平台搜集，格式不统一 | 1-2 小时/篇 | | 长文案撰写 | 从零构思，多轮修改 | 3-5 小时/篇 | | 三审三校 | 多人协作，沟通成本高 | 2-4 小时/篇 |

MIMO Content Hub 目标：将单篇内容产出周期从 8-14 小时压缩至 30 分钟。

系统架构

┌──────────────────────────────────────────────────┐
│                ContentWorkflow                   │
│              (多 Agent 协同编排引擎)               │
└──────────────────────────────────────────────────┘
         │              │              │
    ┌────▼────┐   ┌────▼────┐   ┌────▼────┐
    │ Research │   │ Writing │   │ Editor  │
    │  Agent   │──▶│  Agent  │──▶│  Agent  │
    │ 联网搜索  │   │ RAG+写作 │   │ 三审三校 │
    └─────────┘   └─────────┘   └────┬────┘
         │              │              │
         │              │         ┌────▼────┐
         │              │         │  打回重写  │
         │              │         │  (闭环)   │
         │              │         └─────────┘
    ┌────▼────┐   ┌────────────┐
    │ WebSearch│   │ KnowledgeBase│
    │ WebScrape│   │  (ChromaDB) │
    └─────────┘   └────────────┘

Agent 职责

| Agent | 核心能力 | 输入 | 输出 | |-------|---------|------|------| | Research Agent | 多关键词搜索 → 全文抓取 → LLM 长上下文分析 → 话题聚类 | 搜索关键词列表 | ResearchBrief (洞察摘要) | | Writing Agent | RAG 检索 → 长链推理 → 多形态文案生成 | ResearchBrief + 品牌知识库 | ContentDraft (内容草稿) | | Editor Agent | 三审三校 → 多维度评分 → 打回/通过判定 | ContentDraft | ReviewResult (审核结果) |

快速开始

环境要求

  • Python 3.11+
  • 小米 MIMO API Key

安装

git clone https://github.com/your-org/mimo-content-hub.git
cd mimo-content-hub
pip install -e .

配置

cp .env.example .env
# 编辑 .env 填入你的 MIMO API Key 和其他配置

关键配置项：

MIMO_API_KEY=your_mimo_api_key_here
MIMO_API_BASE=https://api.mimo.xiaomi.com/v1
MIMO_MODEL=mimo-chat-large

CLI 使用

# 1. 索引品牌知识库
mimo-hub index -d ./knowledge_base

# 2. 执行内容运营工作流
mimo-hub run \
  -q "AI 行业趋势 2026" "大模型企业应用" \
  -t article social_post \
  --audience "企业管理者" \
  --tone "专业"

# 3. 查询知识库
mimo-hub query "品牌定位和核心价值主张" -k 5

# 4. 查看统计
mimo-hub stats

编程调用

import asyncio
from src.orchestrator import ContentWorkflow
from src.models.content import ContentType

async def main():
    workflow = ContentWorkflow(quality_threshold=0.75)

    result = await workflow.run(
        search_queries=["新能源汽车 行业动态 2026"],
        content_types=[ContentType.ARTICLE, ContentType.SOCIAL_POST],
        target_audience="汽车行业从业者",
        tone="专业",
        seo_keywords=["新能源", "智能驾驶", "充电桩"],
        brand_guidelines="我们是一家新能源汽车科技公司的市场部...",
    )

    for draft in result.approved_drafts:
        print(f"✅ {draft.title}")

    print(f"Token 消耗: {result.total_tokens:,}")

asyncio.run(main())

项目结构

mimo-content-hub/
├── src/
│   ├── agents/               # 三个核心 Agent
│   │   ├── base.py           # Agent 基类
│   │   ├── research_agent.py # 研究 Agent
│   │   ├── writing_agent.py  # 写作 Agent
│   │   └── editor_agent.py   # 主编 Agent
│   ├── orchestrator/         # 协同编排
│   │   └── workflow.py       # 主工作流
│   ├── tools/                # 外部工具
│   │   ├── web_search.py     # 联网搜索
│   │   └── web_scraper.py    # 网页抓取
│   ├── rag/                  # RAG 知识库
│   │   ├── knowledge_base.py # ChromaDB 向量存储
│   │   └── embeddings.py     # 嵌入向量生成
│   ├── models/               # 数据模型
│   │   ├── content.py        # 内容模型
│   │   └── review.py         # 审核模型
│   ├── config/               # 配置管理
│   │   └── settings.py
│   └── utils/                # 工具函数
│       ├── logger.py         # 结构化日志
│       └── token_counter.py  # Token 统计
├── docs/
│   ├── architecture.md       # 详细架构文档
│   └── mimo-application.md   # MIMO Token 申请书
├── tests/                    # 单元测试
├── .env.example              # 配置模板
├── pyproject.toml            # 项目元数据
└── README.md

Token 消耗估算

| 阶段 | 组件 | 单次消耗 | 说明 | |------|------|---------|------| | 搜索 & 抓取 | 网络 IO | 0 tokens | 不消耗 LLM | | 研究分析 | Research Agent | 50K-80K | 15篇文章 × 长上下文处理 | | 文案撰写 | Writing Agent | 30K-50K | RAG + 长链推理 | | 三审三校 | Editor Agent | 20K-40K | 三轮审核 | | 打回重写 | Writer + Editor | 20K-30K/轮 | 平均 1-2 轮 | | 单篇合计 | — | 120K-200K | 以一篇文章为例 | | 日均预估 | (10-15篇) | 200万-300万 | 覆盖全渠道内容需求 |

效率提升

| 指标 | 人工模式 | MIMO Content Hub | 提升 | |------|---------|-----------------|------| | 单篇文案周期 | 8-14 小时 | 20-30 分钟 | 96%+ | | 审核周期 | 2-4 小时 | 2-3 分钟 | 98%+ | | 日均内容产出 | 1-2 篇 | 10-15 篇 | 600%+ | | 品牌调性一致性 | 70-80% | 95%+ | 标准化 |

技术栈

  • LLM 平台: 小米 MIMO (OpenAI 兼容 API)
  • Agent 框架: 自研 Agent 基类 + 编排器
  • RAG 引擎: ChromaDB + 自定义 Embedding
  • 异步 IO: httpx + asyncio
  • 结构化日志: structlog
  • 数据校验: Pydantic v2
  • 重试机制: tenacity (指数退避)

License

MIT License — 详见 LICENSE

Contract & API

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

MissingGITHUB REPOS

Endpoints

Dossier APISnapshot APIContract APITrust API

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-fireworm123-mimo-content-hub/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-fireworm123-mimo-content-hub/contract"
curl -s "https://www.xpersona.co/api/v1/agents/crewai-fireworm123-mimo-content-hub/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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Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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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-fireworm123-mimo-content-hub/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-fireworm123-mimo-content-hub/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-fireworm123-mimo-content-hub/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-fireworm123-mimo-content-hub/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-fireworm123-mimo-content-hub/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-fireworm123-mimo-content-hub/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T01:52:44.121Z"
    }
  },
  "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": "Fireworm123",
    "href": "https://github.com/fireworm123/mimo-content-hub",
    "sourceUrl": "https://github.com/fireworm123/mimo-content-hub",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:22:12.477Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-fireworm123-mimo-content-hub/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-fireworm123-mimo-content-hub/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:22:12.477Z",
    "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-fireworm123-mimo-content-hub/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-fireworm123-mimo-content-hub/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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