AI 工具AI TOOLS· BOTS

dsh-im

xmanrui/dsh-im

通过扫码或机器人凭据把IM机器人接入DeepSeek Harness（支持飞书、微信、钉钉、企业微信、QQ、Slack、Telegram、Discord和WhatsApp）。 Connect IM bots to DeepSeek Harness via QR code or credentials (9 channels).

根据公开文档整理，未运行实测；费用以项目官网为准。Based on public documentation, without runtime testing. Check the project site for pricing.

适用平台Platforms: 未确认Not confirmed
已识别的要求Documented requirements: API key
许可LICENSE: MIT

打开仓库Open repository

能力CAPABILITIES

它能帮你做成什么What it helps you do

上手GET STARTED

怎么装How to install

NPX

npx -y github:xmanrui/dsh-im install

选择与你的环境对应的方式。命令来自项目文档，未运行实测。Choose the option for your environment. Commands come from project documentation and have not been run-tested.

打开项目文档Open project documentation ↗

使用限制LIMITATIONS

限制与风险Limits and risk

以下要求与风险来自文档静态检查，未执行项目代码；扫描没有命中，不代表使用安全。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.

限制LIMITS

未知Unknown

01需要 API KeyREQUIRES API KEY: 是Yes
02需要本地环境NEEDS LOCAL RUNTIME: 未在文档中发现Not found in the docs
03需要 DockerNEEDS DOCKER: 未在文档中发现Not found in the docs
04难度DIFFICULTY: 需要 API KeyNeeds an API key

项目动态PROJECT ACTIVITY

它现在处在什么位置Where it stands right now

首次发现FIRST SEEN

11 OCT 202611 OCT 2026

状态STATUS

持续活跃Active

PROVENANCE · 这些结论的依据是什么Where these conclusions come from

来源 URLSource URL: https://github.com/xmanrui/dsh-im
原始数据哈希Raw data hash: dba99af2cfd5382484d6c730d176bf1a
解析时间Parsed at: 2026-10-11T23:34:59.159Z
最后一次验证Last verified: 2026-10-11T22:11:29.227Z
增长测量时间Growth measured: —
发现查询Discovery queries: focus:play:repo:telegram-bot
分类来源Category source: rules
焦点Focus: play (8)

完整解析证据 JSONFull parse evidence JSON

{
  "agents": [],
  "apiKey": "在插件凭据库中以环境变量名（`secretRef`，默认 `DASHSCOPE_API_KEY`）管理，密钥本身不进入机器人配置；转写模型、合成模型、回复音色和 ffmpeg",
  "docker": null,
  "taxonomy": {
    "scores": {
      "design": 0,
      "ai-tools": 9,
      "dev-tools": 0,
      "indie-web": 0,
      "skill-agent": 3,
      "productivity": 2
    },
    "primary": "ai-tools",
    "secondary": "bots"
  },
  "localRuntime": null,
  "skillMdTotal": 0,
  "skillMdErrors": [],
  "treeTruncated": false,
  "categoryScores": {
    "data": 0,
    "agent": 0,
    "media": 0,
    "design": 0,
    "browser": 0,
    "devtool": 0,
    "security": 0,
    "marketing": 0,
    "productivity": 5
  },
  "classification": [],
  "scannedSources": [
    "readme"
  ],
  "skillMdFetched": 0
}