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开源AI工作流
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Agent工作流

开源AI工作流

基于 TypeScript · 无代码搭建完整 AI 自动化流程
英文名:opencode-copilot-chat
⭐ 44 Stars 🍴 9 Forks 💻 TypeScript 📄 MIT 🏷 AI 8.0分
8.0AI 综合评分
aitypescriptchat
✦ AI Skill Hub 推荐

开源AI工作流 是 AI Skill Hub 本期精选Agent工作流之一。综合评分 8.0 分,整体质量较高。我们强烈推荐将其纳入你的 AI 工具库,帮助提升工作效率。

📚 深度解析

开源AI工作流 是一套完整的 AI Agent 自动化工作流方案。随着 AI 能力的不断提升,基于 Agent 的自动化工作流正在成为提升个人和团队效率的核心方式。区别于传统的 RPA 自动化(模拟鼠标键盘操作),AI Agent 工作流通过理解任务意图、动态规划执行路径,能够处理更复杂的非结构化任务。

开源AI工作流 工作流的设计遵循"最小配置,最大复用"原则:核心逻辑已经封装好,用户只需配置自己的 API Key 和业务参数即可快速上手。工作流内置错误处理和重试机制,在网络波动或 API 限速等情况下仍能稳定运行,适合作为生产环境的自动化基础设施。

在实际部署时,建议先在测试环境中运行 3-5 次,验证各个环节的输出结果符合预期,再部署到生产环境。AI Skill Hub 评分 8.0 分,是同类 Agent 工作流中的精选推荐。

📋 工具概览

开源AI工作流 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。

GitHub Stars
⭐ 44
开发语言
TypeScript
支持平台
Windows / macOS / Linux
维护状态
轻量级项目,按需更新
开源协议
MIT
AI 综合评分
8.0 分
工具类型
Agent工作流
Forks
9

📖 中文文档

以下内容由 AI Skill Hub 根据项目信息自动整理,如需查看完整原始文档请访问底部「原始来源」。

开源AI工作流 是一套完整的 AI Agent 自动化工作流方案。通过可视化的节点编排,将复杂的多步骤任务拆解为清晰的自动化流程,实现全程无人值守的智能处理。支持与数百种外部服务和 API 无缝集成,适合构建数据处理管线、业务自动化和 AI 辅助决策系统。

📌 核心特色
  • 可视化 Agent 工作流编排,无需编写复杂代码
  • 支持多步骤自动化任务链,实现全流程无人值守
  • 与外部 API、数据库和第三方服务无缝集成
  • 内置错误处理与自动重试机制,保障稳定运行
  • 提供可复用的自动化模板,快速在同类场景部署
🎯 主要使用场景
  • 自动化日常重复性工作,将精力集中于创造性任务
  • 构建数据采集 → 处理 → 输出的完整自动化管线
  • 实现跨平台、跨系统的数据流转和业务协同
以下安装命令基于项目开发语言和类型自动生成,实际以官方 README 为准。
安装命令
# 方式一:npm 全局安装
npm install -g opencode-copilot-chat

# 方式二:npx 直接运行(无需安装)
npx opencode-copilot-chat --help

# 方式三:项目依赖安装
npm install opencode-copilot-chat

# 方式四:从源码运行
git clone https://github.com/ltmoerdani/opencode-copilot-chat
cd opencode-copilot-chat
npm install
npm start
📋 安装步骤说明
  1. 访问 GitHub 仓库获取工作流文件
  2. 在对应平台(Dify / Flowise / Make 等)中找到「导入工作流」功能
  3. 上传工作流文件
  4. 按照提示配置必要的环境变量和 API Key
  5. 运行测试确认流程正常后投入使用
以下用法示例由 AI Skill Hub 整理,涵盖最常见的使用场景。
常用命令 / 代码示例
# 命令行使用
opencode-copilot-chat --help

# 基本用法
opencode-copilot-chat [options] <input>

# Node.js 代码中使用
const opencode_copilot_chat = require('opencode-copilot-chat');

const result = await opencode_copilot_chat.run(options);
console.log(result);
以下配置示例基于典型使用场景生成,具体参数请参照官方文档调整。
配置示例
# opencode-copilot-chat 配置说明
# 查看配置选项
opencode-copilot-chat --config-example > config.yml

# 常见配置项
# output_dir: ./output
# log_level: info
# workers: 4

# 环境变量(覆盖配置文件)
export OPENCODE_COPILOT_CHAT_CONFIG="/path/to/config.yml"
📑 README 深度解析 真实文档 完整度 68/100 含工作流图 查看 GitHub 原文 →
以下内容由系统直接从 GitHub README 解析整理,保留代码块、表格与列表结构。

简介

✨ Features Deep Dive

💰 OpenCode Zen paid models (requires balance)

Add a payment method to your Zen account to unlock these models at pay-as-you-go rates. OpenCode passes provider price drops through at cost. Prices per 1M tokens.

ModelContextMax OutputInput / Output per 1M tokens
claude-fable-5**1,000,000**128,000$10 / $50
claude-opus-5 / claude-opus-4-8 / claude-opus-4-7 / claude-opus-4-6**1,000,000**128,000$5 / $25
claude-sonnet-5**1,000,000**128,000$2 / $10
claude-sonnet-4-6 / claude-sonnet-4-5**1,000,000**64,000$3 / $15
claude-haiku-4-5200,00064,000$1 / $5
gpt-5.6-sol / gpt-5.6-terra / gpt-5.6-luna**1,050,000**128,000$0.20–$5 / $1.20–$30
gpt-5.5 / gpt-5.4**1,050,000**128,000$2.50–$5 / $15–$30
gpt-5.5-pro / gpt-5.4-pro**1,050,000**128,000$30 / $180
gpt-5.4-mini / gpt-5.4-nano / gpt-5.3-codex / gpt-5.2 / gpt-5.1 / gpt-5 / gpt-5-nano400,000128,000$0.05–$1.75 / $0.40–$14
gemini-3.6-flash / gemini-3.5-flash / gemini-3.5-flash-lite / gemini-3.1-pro / gemini-3-flash**1,048,576**65,536$0.30–$2 / $2.50–$12
grok-4.6500,000500,000$2 / $6
grok-build-0.1256,000256,000$1 / $2
deepseek-v4-pro / deepseek-v4-flash**1,000,000**384,000$0.14–$1.74 / $0.28–$3.84
qwen3.6-plus / qwen3.5-plus262,14465,536$0.20–$0.50 / $1.20–$3.00
kimi-k3**1,048,576**131,072$3 / $15
kimi-k2.7-code262,144262,144$0.95 / $4
kimi-k2.6262,14465,536$0.95 / $4
glm-5.3 / glm-5.3-flash**1,000,000**131,072$0.15–$1.40 / $0.50–$4.40
muse-spark-1.3 / muse-spark-1.2**1,048,576**131,072$1.25 / $4.25
glm-5.2**1,000,000**131,072$1.40 / $4.40
glm-5.1204,800131,072$1.40 / $4.40
minimax-m3512,000128,000$0.30 / $1.20
minimax-m2.7204,800131,072$0.30 / $1.20
Set opencodego.freeOnly: false to show paid Zen models in the picker (default shows only free models).

<details> <summary><b>🔬 How model metadata is resolved (3-tier fallback)</b></summary>

Limits and capabilities resolve in this priority order:

  1. Live metadata from OpenCode /models endpoint
  2. 6-hour models.dev snapshot cached in VS Code globalState
  3. Bundled fallback catalog shipped with the extension (works offline)

Deprecated/unavailable models are filtered before registration. Per-provider limits tracked separately (Go vs Zen) so shared models (e.g. glm-5.1, qwen3.6-plus) use correct values for each.

</details>

<details> <summary><b>🛣️ Endpoint routing per model family</b></summary>

FamilyEndpointWhy
Zen GPT (gpt-*)/responsesOpenAI native
Zen Gemini (gemini-*):streamGenerateContent?alt=sseGoogle native
Zen Claude (claude-*) + Go MiniMax (minimax-m2.*)/messagesAnthropic-compatible
Everything else (Qwen, DeepSeek, GLM, Kimi, MiMo…)/chat/completionsOpenAI-compatible

All Qwen models use /chat/completions because they use OpenAI-native tool-calling format. Routing to Anthropic /messages broke tool calls.

</details>

---

⚡ Quick Start (60 sec)

1.  Install or update VS Code 1.125+ ────────────────────────────── ✓
2.  Install this extension ──────────────────────────────────────── ✓
3.  Get an OpenCode Zen API key → opencode.ai/auth ─────────────── ✓
4.  Open Copilot Chat → click model → "Add Models" → OpenCode Zen ── ✓
5.  Paste API key → pick a free model → CHAT 🎉

<details> <summary><b>📖 Detailed step-by-step with screenshots</b></summary>

1. Install or update VS Code to version 1.125 or newer. OpenCode BYOK chat works without a GitHub sign-in or Copilot plan. 2. Install this extension from the VS Code Marketplace (or press F5 in this repo for dev mode). 3. Get an API key: - Free models: Sign up at opencode.ai → grab an OpenCode Zen key. Several models are truly free (Big Pickle, DeepSeek V4 Flash Free, MiMo-V2.5 Free, and others rotate). - Paid Zen models (optional): Add a payment method to your Zen account to unlock Claude Opus, GPT-5.5, Gemini, and other paid models at pay-as-you-go rates. Adding $20+ balance also improves rate limits on free models. - OpenCode Go (optional): Subscribe to OpenCode Go ($10/mo, $5 first month promo) for curated open models like DeepSeek V4 Pro, Kimi K3, GLM-5.3, Qwen3.8 Max, MiMo V2.5 Pro. 4. Open Copilot Chat (Cmd/Ctrl+Shift+I, or click the Copilot icon). 5. Click the model picker (current model name) → Add Models… 6. Select OpenCode Go or OpenCode Zen. 7. Press Enter to accept the default group name. 8. Paste your API key when prompted (stored by VS Code in your language-models configuration). 9. Pick the models you want enabled. 10. Select any OpenCode model from the picker and start chatting. 🚀

💡 Tips: - Go and Zen are separate provider groups: both can be active simultaneously. Switch anytime from the picker. - If a model shows in Language Models view but not the chat picker, hover its row and click the eye icon (👁) to enable it. - Set opencodego.freeOnly: false to reveal paid Zen models in the picker.

</details>

---

📊 Usage Tracking

- Go Usage Tracker: real-time burn-rate of OpenCode Go subscription: - Tracks 5-hour rolling ($12), weekly ($30), monthly ($60) tiers. - Server-synced meters: on startup and after each request the tracker pulls the official /zen/go/v1/usage endpoint with your Go key, so the Session/Weekly/Monthly percentages and "resets in" timers are account-wide and server-accurate (includes CLI, other devices, anything before the extension was installed). Falls back to local estimates when the endpoint is unreachable or the key/subscription is invalid. - Today / Yesterday and per-session spend stay device-local (the API does not return them). - Status bar: Go: 27%·62%·75%, with a ⚠ warning when any tier exceeds 80%. - Persisted in VS Code globalState; survives restarts. - Response usage bar: latest prompt/output/total/cache summary after each response. - Normalized usage DataPart: emits usage MIME so Copilot Chat's context widget shows accurate token counts.

Multiple Go accounts

You can use more than one OpenCode Go account in the same VS Code window. When a second Go API key is added via the Manage Language Models panel, the extension creates a new usage profile ("Profile 1", "Profile 2", etc.) on the first request made with each key.

- Auto-switch: the status bar and SVG hover card follow the model you last used. If you chat with a model from a different account, the panel switches automatically. - QuickPick: click the status bar to see which profile is active and switch to another profile. - Commands: OpenCode Go: Rename Active Profile and `OpenCode Go: Delete Profile` help you manage your profiles. The label you give a profile appears in the status bar and SVG title. - Storage isolation: each profile has its own globalState storage namespace (opencodego.usageLog.v1.<fingerprint>) so data never mixes. - SQLite: when 2+ profiles exist, the extension does not consult the shared opencode.db (which is per-machine and cannot be attributed to a specific API key). Accuracy falls back to in-memory entries for multi-account setups.

Upgrading from a single-account install? Your existing usage data is migrated into Profile 1 the first time a second profile is created. Your original stats are preserved; nothing is lost.

🎬 Demo

<p align="center"> <img src="docs/screenshots/model-picker.gif" alt="Copilot Chat model picker showing OpenCode models" width="480" /> </p>

Selecting an OpenCode model from the Copilot Chat model picker.

---

🔧 Settings

SettingDefaultDescription
opencodego.apiBaseUrlhttps://opencode.ai/zen/go/v1Base URL for a Go-compatible gateway; the extension appends the required API routes. Reload after changing.
opencodezen.apiBaseUrlhttps://opencode.ai/zen/v1Base URL for a Zen-compatible gateway; the extension appends the required API routes. Reload after changing.
opencodego.temperature0.2Sampling temperature (02)
opencodego.maxTokens0Max output token override (0 = per-model max)
opencodego.maxInputTokens0Context window override (0 = per-model default)
opencodego.debugReasoningfalseLog reasoning_content to Output panel
opencodego.requestTimeoutSeconds600Total request timeout
opencodego.streamIdleTimeoutSeconds120Cancel if stream goes idle
opencodego.showUsageStatusBartrueShow usage summary in status bar
opencodego.showProviderPrefixtrueInclude OpenCode Go / OpenCode Zen in model names
opencodego.visionProxyWholeConversationfalseVision proxy: describe the whole conversation instead of only the message with a new image (more context, more tokens)
opencodego.freeOnlytrueZen: free models only. false = include paid
opencodego.enabledtrueRegister the OpenCode Go provider. false removes it from Language Models & every picker (keys kept)
opencodezen.enabledtrueRegister the OpenCode Zen provider. false removes it from Language Models & every picker (keys kept)
opencodego.agentsWindowtrueExpose agent-host model variants (targetChatSessionType) for the Agents window
opencodego.showAgentModelsInManagePanelfalseShow agent vendors in Manage Language Models panel
opencodego.stripThinkTags"auto"Strip <think> tags (never/auto/always)
opencodego.thinking.deepseek"off"off/low/medium/high/max
opencodego.thinking.glm"off"off/high/max
opencodego.thinking.kimi"off"on/off
opencodego.thinking.minimax"off"off/on
opencodego.thinking.mimo"off"off/low/medium/high
opencodego.thinking.qwen"off"auto/on/off
opencodego.thinking.qwenBudget"auto"auto/4096/16384/32768/81920

<details> <summary><b>📜 Full settings reference with descriptions</b></summary>

All settings live under the OpenCode namespace in VS Code Settings. Run Preferences: Open Settings (UI) and search opencode.

</details>

---

📊 GitHub Copilot vs This Extension

GitHub Copilot has four tiers now: Free, Pro ($10/mo), Pro+ ($39/mo), and Max ($100/mo). Here's how BYOK via OpenCode compares:

**Copilot Free****Copilot Pro $10/mo****Copilot Pro+ $39/mo****OpenCode for Copilot Chat**
💰 **Cost**$0$10/mo$39/mo**$0** with free Zen models · Go is **$10/mo** subscription
🤖 **Models**GPT-5 mini, Haiku 4.5 (2,000 completions)Pro catalog + Claude Code/Codex agentsPremium (Opus)**30+ models**: DeepSeek V4, Kimi K3, GLM-5.3, Qwen3.8, MiMo V2.5, MiniMax M3, + rotating free models
🧠 **Reasoning controls**Per-model (GitHub decides)Per-model (GitHub decides)**Per-family thinking effort** you control (DeepSeek max, Qwen thinking_budget, etc.)
🖼️ **Multimodal**LimitedYes (limited)Yes (limited)**Vision + PDF + Audio + Video** (per-model)
🔧 **Agent Mode / tool-calling**✅ **Full** (read, edit, terminal)
📊 **Usage transparency**OpaqueOpaqueAudit logs**Status bar burn-rate** + diagnostics report
🔌 **Provider**GitHub onlyGitHub onlyGitHub only**Bring any OpenCode key**: Go ($10/mo subscription) or Zen (free + paid), run both at once
🎁 **Free frontier models?**❌ (paid tier only)✅ **Rotating free models** via Zen (Big Pickle + 7 currently)
🚫 **Rate limit**2,000 completions/moUnlimited (rate-limited)4× Pro creditsPer OpenCode tier (Zen free has low limits without balance; Go has generous limits)
Model bridge, not completions replacement. OpenCode BYOK models work in VS Code Chat without a Copilot plan or GitHub sign-in. Standard inline suggestions, next-edit suggestions, semantic search, and embedding-backed features still require GitHub/Copilot support. OpenCode requests bypass Copilot billing entirely: you pay OpenCode directly (or nothing, on Zen free).

❓ FAQ

<details> <summary><b>Do I need Copilot Pro, Pro+, or Max?</b></summary>

No. On supported VS Code versions, BYOK chat works without a Copilot plan and without signing in to GitHub. Add OpenCode from Chat: Manage Language Models and select a model in Chat. Requests are billed only by OpenCode and do not consume Copilot requests.

Inline suggestions, next-edit suggestions, semantic search, and embedding-backed features still require GitHub/Copilot support. This extension provides chat, agent tool calls, and utility-model access; it does not replace standard Copilot autocomplete.

</details>

<details> <summary><b>Is it really free? What's the catch?</b></summary>

OpenCode Zen offers rotating free models, no balance required. Currently free: Big Pickle, DeepSeek V4 Flash Free, MiMo-V2.5 Free, Hy3 Free, Laguna S 2.1 Free, Ling-3.0-tiny Free, Nemotron 3 Ultra Free, Nemotron 3.5 Lightning Free (all limited-time, per the OpenCode docs). Without a balance, rate limits are low. Adding $20+ to your Zen balance significantly improves rate limits on free models. Paid Zen models (Claude Opus, GPT-5.6, Gemini, etc.) require adding a payment method; they're pay-as-you-go.

OpenCode Go is a subscription: $10/mo ($5 first month promo) with generous usage limits (5h/$12, weekly/$30, monthly/$60). It unlocks curated open models like DeepSeek V4 Pro, Kimi K3, GLM-5.3, Qwen3.8 Max, MiMo V2.5 Pro. When you hit the limit, you can continue using the free Zen models.

This extension is free and open source: you never pay us. You pay OpenCode directly (or nothing, on Zen free).

</details>

<details> <summary><b>Does Agent Mode / tool-calling work?</b></summary>

Yes, fully. The extension forwards VS Code tool schemas in the correct format for each endpoint (OpenAI tool_calls or Anthropic tool_use). Copilot Agent can read files, search, edit, and run terminal commands through any OpenCode model.

</details>

<details> <summary><b>Where is my API key stored?</b></summary>

In your VS Code language-models configuration: add it via Chat: Manage Language Models → Add Models… → OpenCode Go / OpenCode Zen. VS Code stores the key in its encrypted language-models storage, it never leaves your machine, and it is only sent to opencode.ai.

</details>

<details> <summary><b>Can I use Go and Zen at the same time?</b></summary>

Yes. They're separate provider groups. Add both via Language Models → Add Models…, enter each key separately, and switch between them from the chat model picker anytime.

</details>

<details> <summary><b>Can this import models from a local <code>opencode serve</code> instance?</b></summary>

Not safely through the VS Code language-model provider contract yet. opencode serve exposes OpenCode sessions and agents, whose tools execute inside OpenCode, rather than a Chat Completions, Responses, or Messages inference endpoint that can return VS Code tool calls. Registering only its model list would produce entries that lose Copilot's tool loop and permission UI.

For a local OpenAI/Anthropic-compatible inference server, use VS Code's Custom Endpoint provider directly. Native OpenCode-server support is tracked in #88.

</details>

<details> <summary><b>What should I include when the extension fails in an elevated/admin VS Code?</b></summary>

Run OpenCode Go: Diagnostics or OpenCode Zen: Diagnostics and attach the Runtime section plus the failing request summary. It identifies whether the elevated launch selected a different VS Code binary, extension installation, host, workspace trust state, or Windows integrity level. The extension requires VS Code 1.125 or newer.

</details>

<details> <summary><b>A model shows in Language Models but not the chat picker?</b></summary>

Hover its row in the Language Models view and click the eye icon (👁) to toggle visibility.

</details>

<details> <summary><b>Tool calls loop forever on Qwen?</b></summary>

Known issue with qwen3.6-plus-free on broad agent tasks (see issue #1). Workaround: set opencodego.thinking.qwen: "off" and use a narrower task scope, or switch to a paid Qwen model.

</details>

<details> <summary><b>How do I use OpenCode models in the Agents window (Copilot CLI)?</b></summary>

Agent models are enabled by default (opencodego.agentsWindow: true), and the extension auto-enables the two VS Code core settings they need (chat.agentHost.byokModels.enabled and extensions.supportAgentsWindow) on first activation, then offers a Reload Now button.

After reloading, open the Agents window, start a Copilot CLI session, and pick any OpenCode model from the picker. Only if you set opencodego.autoEnableAgentsWindow: false do you need to configure those settings manually. See the Agents Window section above for details.

</details>

<details> <summary><b>How do I report a bug or request a model?</b></summary>

Open an issue: pick the Bug Report or Feature Request template. Include the diagnostics report (OpenCode Go: Diagnostics or OpenCode Zen: Diagnostics).

</details>

---

🇨🇳 中文文档镜像 AI 翻译 2026-07-12
英文原文章节由系统翻译为中文摘要,便于快速理解。完整原文见上方 "📑 README 深度解析"。
📌 简介

opencode-copilot-chat 是一款为开发者设计的增强型插件,旨在通过 OpenCode Zen 平台为 GitHub Copilot Chat 提供更强大的模型支持。它允许用户在原有的 Copilot 界面中集成高性能的付费模型,打破原有模型的限制,为复杂的编程任务提供更智能的对话体验。

⚡ 功能介绍

本插件深度集成了 OpenCode Zen 的高级模型能力,支持包括 Claude 系列在内的多种顶级大模型。通过扩展 Copilot Chat 的模型选择能力,开发者可以根据任务复杂度灵活切换模型。此外,插件内置了精细化的用量追踪系统,能够实时监控 Token 消耗情况,确保开发成本在可控范围内。

📋 环境依赖

使用本插件需要具备 OpenCode Zen 账户及相应的余额。对于需要调用 Claude-Opus 等高级模型的场景,用户需在 Zen 账户中绑定支付方式,采用 Pay-as-you-go(按需付费)模式。不同模型拥有不同的 Context Window(上下文窗口)和 Token 计费标准,请根据实际需求配置相应的 API 权限。

🚀 使用教程

只需 60 秒即可完成快速上手:首先确保已安装免费版的 GitHub Copilot Chat 扩展;接着安装本插件;随后前往 opencode.ai/auth 获取您的 OpenCode Zen API key;在 Copilot Chat 界面点击模型选择器,选择 "Add Models" 并找到 OpenCode Zen;最后粘贴 API key 并选择模型即可开始对话。

⚙️ 配置说明(含 MCP / env)

用户可以通过 VS Code 设置对插件进行精细化配置。支持设置 `opencodego.temperature`(采样温度,范围 0-2)以控制生成内容的随机性,以及通过 `maxTokens` 和 `maxInputTokens` 覆盖模型的默认上下文限制。此外,开启 `debugReasoning` 可在日志中查看模型的推理过程,方便调试。

❓ FAQ 摘要

关于订阅等级的常见疑问:您并不需要购买 Copilot Pro、Pro+ 或 Max 等高级订阅版本。即使是 GitHub Copilot Free(免费版)用户也可以使用本插件。通过 BYOK(自带密钥)模式,插件会绕过 Copilot 原有的模型限制,直接调用 OpenCode Zen 提供的 API 能力。

📚 实用指南(长尾问题)
适合谁
  • 构建多智能体协作系统的 Agent 开发者
  • 跨境业务、多语言内容运营团队
最佳实践
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)
部署方案
  • CLI:直接 npm install -g / pip install,命令行调用
  • 云端托管:可放在 Vercel / Railway / Fly.io 等 PaaS 平台
相关搜索
opencode-copilot-chat 中文教程opencode-copilot-chat 安装报错怎么办opencode-copilot-chat Agent 工作流opencode-copilot-chat 与同类工具对比opencode-copilot-chat 最佳实践opencode-copilot-chat 适合谁用

⚡ 核心功能

👥 适合谁
  • 构建多智能体协作系统的 Agent 开发者
  • 跨境业务、多语言内容运营团队
⭐ 最佳实践
  • Agent 任务先做 dry-run 验证工具调用链,再开启自主执行
⚠️ 常见错误
  • API key 直接提交到 git 仓库(请用 .env 并加入 .gitignore)

👥 适合人群

自动化工程师和运维人员项目经理和业务分析师希望减少重复性工作的专业人士数字化转型团队

🎯 使用场景

  • 自动化日常重复性工作,将精力集中于创造性任务
  • 构建数据采集 → 处理 → 输出的完整自动化管线
  • 实现跨平台、跨系统的数据流转和业务协同

⚖️ 优点与不足

✅ 优点
  • +MIT 协议,可免费商用
  • +大幅减少重复性人工操作
  • +可视化流程,清晰直观
  • +可扩展性强,支持复杂场景
⚠️ 不足
  • 初始配置和调试需投入一定时间
  • 强依赖外部服务的稳定性
  • 复杂场景需具备一定技术基础
⚠️ 使用须知

AI Skill Hub 为第三方内容聚合平台,本页面信息基于公开数据整理,不对工具功能和质量作任何法律背书。

建议在沙箱或测试环境中充分验证后,再部署至生产环境,并做好必要的安全评估。

📄 License 说明

✅ MIT 协议 — 最宽松的开源协议之一,可自由商用、修改、分发,仅需保留版权声明。

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❓ 常见问题 FAQ

opencode-copilot-chat 是一款TypeScript开发的AI辅助工具。开源AI工作流:Use 30+ AI models (DeepSeek, Kimi, GLM, Claude, GPT-5.5, Gemini, Grok) in GitHub。⭐44 · TypeScript 主要应用场景包括:智能工作流自动化。
💡 AI Skill Hub 点评

经综合评估,开源AI工作流 在Agent工作流赛道中表现稳健,质量优秀。如果你已有明确的使用需求,可以直接上手体验;如果还在评估阶段,建议对比同类工具后再做决策。

⬇️ 获取与下载
⬇ 下载源码 ZIP

✅ MIT 协议 · 可免费商用 · 直接从 aiskill88 服务器下载,无需跳转 GitHub

📚 深入学习 开源AI工作流
查看分步骤安装教程和完整使用指南,快速上手这款工具
🌐 原始信息
原始名称 opencode-copilot-chat
原始描述 开源AI工作流:Use 30+ AI models (DeepSeek, Kimi, GLM, Claude, GPT-5.5, Gemini, Grok) in GitHub。⭐44 · TypeScript
Topics aitypescriptchat
GitHub https://github.com/ltmoerdani/opencode-copilot-chat
License MIT
语言 TypeScript
🔗 原始来源
🐙 GitHub 仓库  https://github.com/ltmoerdani/opencode-copilot-chat 🌐 官方网站  https://opencode.ai

收录时间:2026-06-17 · 更新时间:2026-06-20 · License:MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。

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