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zhayujie/CowAgent 2.1.9

2026-09-14 06:38 · ⭐ 4.7万 · GitHub Release 原文 ↗
#多智能体 #版本发布 #模型能力

zhayujie/CowAgent 2.1.9

一句话概括：这是 2.1.8 多 Agent 版本的精修版（refinement release），围绕多 Agent 协作、模型能力与渠道集成做了一轮改进与修复，未引入破坏性变更。

新增能力

修复的问题

多 Agent 相关 - 修复多 Agent 群聊中非 lead Agent 委派任务失败的问题，现在能正确识别成员 Agent。 - 修复非默认 Agent 生成的图片在 Web 控制台和桌面客户端无法渲染的问题。

渠道集成（Channel Integration） - 修复桌面客户端渠道无法启动的问题。 - 修复渠道停止流程中丢失 app_module 查找导致断连报错的问题（由 #3141 引入的回归）。 - 修复 QQ 渠道在 WebSocket 静默断开后不重连的问题，现在可自动重连。

模型相关 - 修复 fallback 过程中的凭据解析问题：现在按实际路由到的 provider 解析凭据，而非使用全局配置。感谢 @alanyz106（#3142）

其他改进与修复 - 配置文件容错：config.json 现在容忍 UTF-8 BOM；停止登录前的 401 轮询，避免未登录时的无效请求。 - 修复百度文心 IMAGE_CREATE 在不支持时崩溃的问题，改为返回错误信息（感谢 @c020627，#3144）。 - 修复 Midjourney 回复重试未正确递归进入发送逻辑的问题（感谢 @c020627，#3151）。 - 修复 silk 语音转码：先解码为独立的 wav，再重新编码为 mp3，避免覆盖源文件（感谢 @c020627，#3149）。 - 媒体 URL 分类改为根据解析后的 URL 路径判断媒体类型，修复媒体链接误判（感谢 @c020627，#3150）。 - 修复百度翻译在所有重试失败后不上报 API 错误的问题（感谢 @c020627，#3147）。 - 后台命令检测：将 run_in_background 限制用于长时运行进程，防止任务被过早标记为完成。 - 工具输出截断：当保留行被部分截断时，正确上报基于字节的截断原因（感谢 @c020627，#3137）。 - Web 移动端布局优化。 - 修复桌面客户端多 Agent team 菜单不显示的问题。

Breaking Change

性能数据 / 基准测试

升级方式

发布信息：Release date 2026.09.14 | Full Changelog

▸ Release Notes 英文原文（4578 字符）
🌐 [English](https://docs.cowagent.ai/releases/v2.1.9) | [中文](https://docs.cowagent.ai/zh/releases/v2.1.9) > This is a refinement release for the [2.1.8 multi-Agent version](https://docs.cowagent.ai/releases/v2.1.8), building on it with a series of improvements and fixes across multi-Agent collaboration, model capabilities, and channel integration. ## 🤝 Multi-Agent Experience Further polish around using multi-Agent teams: - **Multi-Agent session selection**: the in-session multi-Agent selector adds a lead-Agent marker that clearly separates the lead Agent from members, while simplifying the view in single-Agent setups. - **Collaboration fix**: fixed failures when delegating tasks from non-lead Agents in multi-Agent group chats, now correctly identifying member Agents. - **Member Agent image rendering**: fixed images generated by non-default Agents failing to render on the Web console and desktop client. - **Group-chat entry**: the desktop **Team** page adds a group-chat entry, so you can start a group session directly from an Agent team. <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/agent-group-chat-picker.png" alt="Multi-Agent group chat" width="800" /> ## 📡 Channel Integration Fixes Fixed key issues along the console's channel start/stop path for more stable channel integration: - **Desktop channel integration fix**: fixed channels failing to start in the desktop client. - **Channel stop fix**: fixed a lost `app_module` lookup during the channel stop flow that caused disconnect errors (a regression introduced by #3141). - **QQ channel reconnection**: fixed the QQ channel not reconnecting after a silent WebSocket disconnect; it now reconnects automatically. ## 🤖 Model Capabilities - **Model list configuration**: model providers can now configure a model list, setting the model name, model type, context window, max output, and more. Thanks @alanyz106 (#3146) <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/model-catalog-config.png" alt="Model list configuration" width="800" /> - **Multiple fallback models**: when the primary model fails, CowAgent now tries an ordered fallback chain in turn, replacing the previous single fallback model. Thanks @alanyz106 (#3125) <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/model-fallback-chain.png" alt="Multiple fallback models" width="800" /> - **Fallback credential fix**: fixed credential resolution during fallback, which now resolves credentials by the provider actually routed to rather than the global configuration. Thanks @alanyz106 (#3142) - **New image models**: added `gpt-image-2.5-flare` and `gpt-image-2.5-sunburst`. Thanks @cowagent (#3140) ## 🛠 Improvements & Fixes - **Config file tolerance**: tolerate a UTF-8 BOM in `config.json`, and stop the pre-login 401 polling to avoid invalid requests before sign-in. - **Image generation fixes**: - fixed Baidu Ernie `IMAGE_CREATE` crashing when unsupported, now returning an error message instead (Thanks @c020627 #3144). - fixed Midjourney reply retries not recursing into the send logic correctly (Thanks @c020627 #3151). - **Voice fix**: fixed silk voice transcoding by first decoding silk into a standalone wav and then re-encoding to mp3, avoiding overwriting the source file (Thanks @c020627 #3149). - **Media URL classification**: determine media type from the resolved URL path, fixing misclassified media links (Thanks @c020627 #3150). - **Baidu Translate**: fixed Baidu Translate not reporting the API error after all retries failed (Thanks @c020627 #3147). - **Background command detection**: restrict `run_in_background` to long-running processes, preventing tasks from being marked complete too early. - **Tool output truncation**: report the byte-based truncation reason correctly when kept lines are partially truncated (Thanks @c020627 #3137). - **Web mobile layout**: improved the console layout on mobile. - **Desktop client**: fixed the multi-Agent team menu not showing. ## 📦 How to Upgrade - **Source deployment**: run `cow update` for a one-click upgrade, or pull the latest code and restart. See the [upgrade guide](https://docs.cowagent.ai/guide/upgrade). - **Desktop client**: check for updates and update with one click inside the client, or get the latest version from the [download page](https://cowagent.ai/download/). **Release date**: 2026.09.14 | [Full Changelog](https://github.com/zhayujie/CowAgent/compare/2.1.8...2.1.9)
▸ 主项目介绍 · zhayujie/CowAgent
▸ README 原文（同步于 2026-07-19 13:26）
<p align="center"><img src="https://github.com/user-attachments/assets/eca9a9ec-8534-4615-9e0f-96c5ac1d10a3" alt="CowAgent" width="420" /></p> <p align="center"> <a href="https://github.com/zhayujie/CowAgent/releases/latest"><img src="https://img.shields.io/github/v/release/zhayujie/CowAgent?cacheSeconds=3600" alt="Latest release"></a> <a href="https://github.com/zhayujie/CowAgent/blob/master/LICENSE"><img src="https://img.shields.io/badge/license-MIT-green.svg" alt="License: MIT"></a> <a href="https://github.com/zhayujie/CowAgent"><img src="https://img.shields.io/github/stars/zhayujie/CowAgent?style=flat-square&cacheSeconds=3600" alt="Stars"></a> <a href="https://docs.cowagent.ai/"><img src="https://img.shields.io/badge/Docs-cowagent.ai-blue?style=flat&logo=readthedocs&logoColor=white" alt="Docs"></a> </p> <p align="center"> <a href="https://trendshift.io/repositories/25763" target="_blank"><img src="https://trendshift.io/api/badge/repositories/25763" alt="zhayujie%2FCowAgent | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a> </p> <p align="center"> [English] | [<a href="docs/zh/README.md">中文</a>] | [<a href="docs/zh/README-Hant.md">繁體中文</a>] | [<a href="docs/ja/README.md">日本語</a>] </p> **CowAgent** is an open-source super AI assistant that proactively plans tasks, controls your computer and external services, creates and runs Skills, builds a personal knowledge base and long-term memory, and grows alongside you through self-evolution — a reference implementation of Agent Harness engineering. CowAgent is lightweight, easy to deploy, and built to extend. Plug in any major LLM provider and run it 24/7 on a personal computer or server, across the web and all major IM platforms. <p align="center"> <a href="https://cowagent.ai/">🌐 Website</a> &nbsp;·&nbsp; <a href="https://docs.cowagent.ai/intro/index">📖 Docs</a> &nbsp;·&nbsp; <a href="https://docs.cowagent.ai/guide/quick-start">🚀 Quick Start</a> &nbsp;·&nbsp; <a href="https://skills.cowagent.ai/">🧩 Skill Hub</a> &nbsp;·&nbsp; <a href="https://cowagent.ai/download/">💻 Download</a> &nbsp;·&nbsp; <a href="https://link-ai.tech/cowagent/create">☁️ Try Online</a> </p> <br/> ## 🌟 Highlights | Capability | Description | | :--- | :--- | | [Planning](https://docs.cowagent.ai/intro/architecture) | Decomposes complex tasks and executes them step by step, looping over tools until the goal is reached | | [Memory](https://docs.cowagent.ai/memory/index) | Three-tier architecture (context → daily → core), automatic Deep Dream distillation, hybrid keyword + vector retrieval | | [Knowledge](https://docs.cowagent.ai/knowledge/index) | Auto-curates structured knowledge into a Markdown wiki, builds an evolving knowledge graph with visual browsing | | [Evolution](https://docs.cowagent.ai/memory/self-evolution) | Self-Evolution reviews conversations automatically to improve skills, follow up on unfinished tasks, and consolidate memory and knowledge, growing through everyday use | | [Skills](https://docs.cowagent.ai/skills/index) | One-click install from [Skill Hub](https://skills.cowagent.ai/), GitHub, ClawHub; or create custom skills via natural-language conversation | | [Tools](https://docs.cowagent.ai/tools/index) | Built-in file I/O, terminal, browser, scheduler, memory retrieval, web search, and 10+ more tools — with native MCP integration | | [Channels](https://docs.cowagent.ai/channels/index) | Integrates with Web, WeChat, Feishu, DingTalk, WeCom, QQ, Official Accounts, Telegram, and Slack | | Multimodal | First-class support for text, images, voice, and files — recognition, generation, and delivery | | [Models](https://docs.cowagent.ai/models/index) | Claude, GPT, Gemini, DeepSeek, Qwen, GLM, Kimi, MiniMax, Doubao, and more — swap providers from the Web console with one click | | [Deploy](https://docs.cowagent.ai/guide/quick-start) | One-line installer, unified Web console, multiple deployment modes (local, Docker, server) | <br/> ## 🏗️ Architecture <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/architecture/en/architecture.png" alt="CowAgent Architecture" width="750"/> CowAgent is a complete **Agent Harness**: messages flow in through **Channels**; the **Agent Core** plans and reasons over memory, knowledge, and the available tools and skills; **Models** generate the response, which is sent back through the originating channel. Every layer is decoupled and independently extensible. Read more in [Architecture](https://docs.cowagent.ai/intro/architecture). <br/> ## 🚀 Quick Start A one-line installer takes care of dependencies, configuration, and startup: **Linux / macOS:** ```bash bash <(curl -fsSL https://cdn.link-ai.tech/code/cow/run.sh) ``` **Windows (PowerShell):** ```powershell irm https://cdn.link-ai.tech/code/cow/run.ps1 | iex ``` **Docker:** ```bash curl -O https://cdn.link-ai.tech/code/cow/docker-compose.yml docker compose up -d ``` Once started, open `http://localhost:9899` to access the **Web console** — your one-stop hub to chat with the Agent, configure models, connect channels, and install skills. > Deploying on a server? Set `web_host` to `0.0.0.0` in `config.json` to make the console reachable from outside, and set `web_password` to protect it. Don't forget to open port `9899` in your firewall or security group. > 📖 Detailed guides: [Quick Start](https://docs.cowagent.ai/guide/quick-start) · [Install from Source](https://docs.cowagent.ai/guide/manual-install) · [Upgrade](https://docs.cowagent.ai/guide/upgrade) After installation, manage the service with the [cow CLI](https://docs.cowagent.ai/cli/index): ```bash cow start | stop | restart # service control cow status | logs # status and logs cow update # pull latest code and restart cow skill install <name> # install a skill cow install-browser # install browser automation ``` > 💻 Desktop client: download the **[CowAgent Desktop client](https://cowagent.ai/download/)** (macOS / Windows) — the backend is bundled, ready to use out of the box. <br/> ## 🤖 Models CowAgent supports all mainstream LLM providers. **Chat, vision, image generation, ASR/TTS, and embeddings** can each be routed to a different vendor. Providers are configured directly in the Web console — no manual file editing required. | Provider | Featured Models | Chat | Vision | Image Gen | ASR | TTS | Embedding | | --- | --- | :-: | :-: | :-: | :-: | :-: | :-: | | [Claude](https://docs.cowagent.ai/models/claude) | claude-sonnet-5 / fable-5 | ✅ | ✅ | | | | | | [OpenAI](https://docs.cowagent.ai/models/openai) | gpt-5.6 series | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | [Gemini](https://docs.cowagent.ai/models/gemini) | gemini-3.5-flash | ✅ | ✅ | ✅ | | | | | [DeepSeek](https://docs.cowagent.ai/models/deepseek) | deepseek-v4-flash / pro | ✅ | | | | | | | [Qwen](https://docs.cowagent.ai/models/qwen) | qwen3.7-plus | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | [GLM](https://docs.cowagent.ai/models/glm) | glm-5.2, glm-5v-turbo | ✅ | ✅ | | ✅ | | ✅ | | [Doubao](https://docs.cowagent.ai/models/doubao) | doubao-seed-2.1 series | ✅ | ✅ | ✅ | | | ✅ | | [Kimi](https://docs.cowagent.ai/models/kimi) | kimi-k3 | ✅ | ✅ | | | | | | [MiniMax](https://docs.cowagent.ai/models/minimax) | MiniMax-M3 | ✅ | ✅ | ✅ | | ✅ | | | [ERNIE](https://docs.cowagent.ai/models/qianfan) | ernie-5.1 | ✅ | ✅ | | | | | | [MiMo](https://docs.cowagent.ai/models/mimo) | mimo-v2.5 / pro | ✅ | ✅ | | | ✅ | | | [LinkAI](https://docs.cowagent.ai/models/linkai) | One key for 100+ models | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ | | [Custom](https://docs.cowagent.ai/models/custom) | Local models / third-party proxy | ✅ | | | | | | > For details on each provider, see the [Models overview](https://docs.cowagent.ai/models/index). <br/> ## 💬 Channels A single Agent instance can serve multiple channels in parallel. Most channels can be onboarded right from the Web console. | Channel | Text | Image | File | Voice | Group | | --- | :-: | :-: | :-: | :-: | :-: | | [Web Console](https://docs.cowagent.ai/channels/web) (default) | ✅ | ✅ | ✅ | ✅ | | | [Telegram](https://docs.cowagent.ai/channels/telegram) | ✅ | ✅ | ✅ | ✅ | ✅ | | [Slack](https://docs.cowagent.ai/channels/slack) | ✅ | ✅ | ✅ | | ✅ | | [Discord](https://docs.cowagent.ai/channels/discord) | ✅ | ✅ | ✅ | | ✅ | | [WeChat](https://docs.cowagent.ai/channels/weixin) | ✅ | ✅ | ✅ | ✅ | | | [Feishu / Lark](https://docs.cowagent.ai/channels/feishu) | ✅ | ✅ | ✅ | ✅ | ✅ | | [DingTalk](https://docs.cowagent.ai/channels/dingtalk) | ✅ | ✅ | ✅ | ✅ | ✅ | | [WeCom Bot](https://docs.cowagent.ai/channels/wecom-bot) | ✅ | ✅ | ✅ | ✅ | ✅ | | [QQ](https://docs.cowagent.ai/channels/qq) | ✅ | ✅ | ✅ | | ✅ | | [WeCom App](https://docs.cowagent.ai/channels/wecom) | ✅ | ✅ | ✅ | ✅ | | | [WeChat Customer Service](https://docs.cowagent.ai/channels/wechat-kf) | ✅ | ✅ | ✅ | ✅ | | | [WeChat Official Account](https://docs.cowagent.ai/channels/wechatmp) | ✅ | ✅ | | ✅ | | > See the [Channels overview](https://docs.cowagent.ai/channels/index) for setup details. <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/web-console-chat.png" alt="CowAgent Web Console" width="800"/> *The Web console is the default channel and the unified entry point to configure models, channels, skills, memory, and more.* <br/> ## 🧠 Memory & Knowledge Base **Long-term memory** uses a three-tier architecture: conversation context (short-term) → daily memory (mid-term) → MEMORY.md (long-term). A nightly **Deep Dream** pass distills scattered memories into refined long-term entries and a narrative journal. See [Long-term Memory](https://docs.cowagent.ai/memory/index) · [Deep Dream](https://docs.cowagent.ai/memory/deep-dream). **Personal knowledge base** complements the time-ordered memory by organizing structured knowledge **by topic**. The Agent automatically curates valuable information from conversations, maintains cross-references and indexes, and the Web console offers an interactive knowledge-graph view. See [Personal Knowledge Base](https://docs.cowagent.ai/knowledge/index). <table> <tr> <td width="50%"> <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/web-console-memory.png" alt="Long-term Memory" /> <p align="center"><em>Long-term Memory · Three-tier architecture + Deep Dream</em></p> </td> <td width="50%"> <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/web-console-knowledge.png" alt="Personal Knowledge Base" /> <p align="center"><em>Knowledge Base · Auto-curated Markdown wiki</em></p> </td> </tr> </table> <br/> ## 🔧 Tools & Skills **Tools** are atomic capabilities the Agent uses to interact with system resources. **Skills** are higher-level workflows defined by a manifest file that compose multiple tools to accomplish complex tasks. ### Tool System **Built-in tools** cover file I/O (`read` / `write` / `edit` / `ls`), terminal (`bash`), file sending (`send`), memory retrieval (`memory`), environment variables (`env_config`), web fetching (`web_fetch`), scheduling (`scheduler`), web search (`web_search`), vision (`vision`), and browser automation (`browser`). **MCP protocol** integrates the open ecosystem of [Model Context Protocol](https://modelcontextprotocol.io) servers. A single `mcp.json` is enough — supports stdio / SSE transports, hot reload, and zero-code integration. Learn more: [Tools overview](https://docs.cowagent.ai/tools/index) · [MCP integration](https://docs.cowagent.ai/tools/mcp). ### Skills System - **[Skill Hub](https://skills.cowagent.ai/)** — open skill marketplace: browse, search, install in one click - **GitHub / ClawHub / URL and more** — install skills from any source - **Conversational authoring** — generate custom skills through dialogue with `skill-creator`; turn any workflow or third-party API into a reusable skill ```bash /skill list # list installed skills /skill search <keyword> # search the marketplace /skill install <name> # one-click install ``` Learn more: [Skills overview](https://docs.cowagent.ai/skills/index) · [Creating Skills](https://docs.cowagent.ai/skills/create). <br/> ## 🏷 Changelog > **2026.07.08:** [v2.1.3](https://github.com/zhayujie/CowAgent/releases/tag/2.1.3) — [Desktop client](https://cowagent.ai/download/) for macOS / Windows, knowledge base document management, on-demand MCP tool retrieval, Traditional Chinese support, new models. > **2026.06.18:** [v2.1.2](https://github.com/zhayujie/CowAgent/releases/tag/2.1.2) — Web console upgrades (scheduled task management, knowledge base categories, multiple custom model providers), Self-Evolution improvements, new models (kimi-k2.7-code, glm-5.2), security hardening and refinements. > **2026.06.09:** [v2.1.1](https://github.com/zhayujie/CowAgent/releases/tag/2.1.1) — Self-Evolution, Web console upgrades (message management, parallel sessions), cross-platform MCP enhancements with concurrent calls, new models (MiniMax-M3, qwen3.7-plus), Python 3.13 support. > **2026.06.01:** [v2.1.0](https://github.com/zhayujie/CowAgent/releases/tag/2.1.0) — Internationalization, new channels (Telegram, Discord, Slack, WeChat Customer Service), CLI interaction upgrades, streamlined one-line install, MCP Streamable HTTP support, new models (claude-opus-4-8, MiMo). > **2026.05.22:** [v2.0.9](https://github.com/zhayujie/CowAgent/releases/tag/2.0.9) — Model management, MCP protocol support, persistent browser sessions, new models (gpt-5.5, gemini-3.5-flash, qwen3.7-max), deployment hardening. > **2026.05.06:** [v2.0.8](https://github.com/zhayujie/CowAgent/releases/tag/2.0.8) — Feishu channel overhaul (voice, streaming, QR onboarding), DeepSeek V4 and Baidu Qianfan support, scheduler tool upgrades. > **2026.04.22:** [v2.0.7](https://github.com/zhayujie/CowAgent/releases/tag/2.0.7) — Built-in image generation (GPT Image 2, Nano Banana), new models (Kimi K2.6, Claude Opus 4.7, GLM 5.1), memory and knowledge enhancements. > **2026.04.14:** [v2.0.6](https://github.com/zhayujie/CowAgent/releases/tag/2.0.6) — Knowledge base, Deep Dream memory distillation, smart context compression, multi-session Web console. > **2026.04.01:** [v2.0.5](https://github.com/zhayujie/CowAgent/releases/tag/2.0.5) — Cow CLI, Skill Hub open source, browser tool, WeCom Bot QR onboarding. > **2026.02.03:** [v2.0.0](https://github.com/zhayujie/CowAgent/releases/tag/2.0.0) — Major upgrade to a super Agent assistant with multi-step task planning, long-term memory, and the Skills framework. Full history: [Release Notes](https://docs.cowagent.ai/releases/overview) <br/> ## 🤝 Community & Support [File an issue](https://github.com/zhayujie/CowAgent/issues) on GitHub, or scan the QR code below to join our WeChat community: <img width="130" src="https://img-1317903499.cos.ap-guangzhou.myqcloud.com/docs/open-community.png"> <br/> ## 🔗 Related Projects - **[Cow Skill Hub](https://github.com/zhayujie/cow-skill-hub)** — open skill marketplace for AI Agents; works with CowAgent, OpenClaw, Claude Code, and more - **[bot-on-anything](https://github.com/zhayujie/bot-on-anything)** — lightweight LLM application framework with integrations for Slack, Telegram, Discord, Gmail, and more - **[AgentMesh](https://github.com/MinimalFuture/AgentMesh)** — open-source multi-agent framework for solving complex problems through team collaboration <br/> ## 🏢 Enterprise Services [**LinkAI**](https://link-ai.tech/) is an all-in-one AI Agent platform for enterprises and developers, offering managed hosting and enterprise-grade support for CowAgent: - **🚀 Zero-deployment hosted runtime** — spin up a [CowAgent online assistant](https://link-ai.tech/cowagent/create) in under a minute, no server required - **🧠 Agent infrastructure** — unified access to LLMs, knowledge bases, databases, skills, and workflows; plug-and-play building blocks that extend what CowAgent can do - **🏢 Team & enterprise features** — workspaces, role-based access, audit logs, and private deployment for production use cases For enterprise inquiries: sales@simple-future.tech or [scan the QR code](https://cdn.link-ai.tech/consultant.jpg) to reach our team on WeChat. <br/> ## 🛠️ Development & Contributing All kinds of contributions are welcome — new features, bug fixes, performance improvements, docs, or sharing your own skills on the [Skill Hub](https://skills.cowagent.ai/submit). See [CONTRIBUTING.md](/CONTRIBUTING.md) to get started, then open an Issue to discuss or send a PR directly. ⭐ Star the project to show your support, and Watch → Custom → Releases to get notified of new versions. PRs and Issues are always welcome. ## 🌟 Contributors ![cow contributors](https://contrib.rocks/image?repo=zhayujie/CowAgent&max=1000) <br/> ## ⚠️ Disclaimer 1. This project is licensed under the [MIT License](/LICENSE) and is intended for technical research and learning. You are responsible for complying with applicable laws and regulations in your jurisdiction; the maintainers assume no liability for any consequences arising from use of this project. 2. **Cost & safety:** Agent mode consumes substantially more tokens than regular chat — pick models that balance quality and cost. The Agent has access to your local operating system, so only deploy it in trusted environments. 3. CowAgent is a pure open-source project and does not participate in, authorize, or issue any cryptocurrency. <br/> ## 📌 Project Renaming Notice This project was previously named `chatgpt-on-wechat` and is now officially **CowAgent**. The old GitHub URL redirects automatically; existing users may optionally run `git remote set-url origin https://github.com/zhayujie/CowAgent.git` to update the local remote.