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zhayujie/CowAgent 2.1.6

2026-08-12 08:32 · ⭐ 4.6万 · GitHub Release 原文 ↗
#子代理 #桌面客户端 #安全加固

zhayujie/CowAgent 2.1.6

v2.1.6 的核心是引入子代理（Sub Agents）并行执行机制，同时增强桌面客户端、推理能力展示与安全加固，并修复了多项稳定性问题。未提及存在需要迁移的 breaking change。

新能力

安全与稳定性

其他改进与修复

升级方式

▸ Release Notes 英文原文（5169 字符）
🌐 [English](https://docs.cowagent.ai/releases/v2.1.6) | [中文](https://docs.cowagent.ai/zh/releases/v2.1.6) ## 🤝 Sub Agents The main Agent can hand independent tasks off to sub agents and run them in parallel — improving results, lowering context cost, and speeding up work that can happen at the same time: - **Isolated context**: the intermediate work stays out of the main conversation, saving tokens and keeping the model focused. - **Parallel execution**: several sub agents can run at once, and the main Agent gathers their results when they finish. Both the Web console and the desktop client show the full run. - **Customizable**: two built-in types, `general-purpose` and `explore`, plus your own — drop a `.md` file under the workspace `subagents/` directory to define a type with its own system prompt and tool set. - **On by default**: no setup needed; the main Agent decides when to delegate. Toggle it under Config → Agent, and tune nesting depth, concurrency, and timeout in `config.json`. <img src="https://cdn.jsdelivr.net/gh/zhayujie/cowagent-assets@main/screenshots/en/cow-subagent-demo.png" width="800" /> Thanks @AaronZ345 (#2976) Docs: [Sub Agents](https://docs.cowagent.ai/multi-agent/subagent) ## 🖥 Desktop Client - **Scheduled-task notifications**: the client receives scheduled and pushed messages and raises OS notifications. - **Update panel**: the update dialog now links to the release notes, so you can see what changed. - **Custom provider models**: custom providers get a free-form model input. - **Startup fixes**: fixed the backend startup hanging, added automatic port retry, and surfaced the real error on failure. Download: [CowAgent Desktop](https://cowagent.ai/download/) Docs: [Desktop Client](https://docs.cowagent.ai/guide/desktop) ## 🧠 Reasoning Effort & Thinking - **Reasoning-effort settings**: native `reasoning_effort` configuration across Claude, Qwen, Kimi, and more, remembered per model. Thanks @tshicheng (#3007, #3009) - **Claude thinking**: Claude's thinking process can now be shown in the Web console and the desktop client, making its reasoning easier to follow. ## 🔒 Security Hardening - **Guarded self-evolution writes**: unattended writes now get validation and rollback, writes are serialized per workspace, and the protected write paths were narrowed so task files in the workspace are no longer touched by mistake. Thanks @lisheng-SenLee (#3011, #3016) - **Skill path validation**: skill install validates each file path more thoroughly. Thanks @LHMQ878 (#3006) - **Dependency upgrades**: the desktop client bumps js-yaml and linkify-it, fixing two exploitable denial-of-service issues. Thanks @anupamme ## 💾 Memory & Retrieval - **Pluggable vector backend**: memory's vector storage and retrieval sit behind a single interface, with SQLite as the default, making it easy to plug in an external vector store later. Thanks @AaronZ345 (#3021) - **Index repair**: fixed trigram FTS5 index corruption on chunk updates; a corrupted shared database now self-repairs. Docs: [Memory](https://docs.cowagent.ai/memory) ## 🛠 Improvements & Fixes - **Custom image providers**: image generation supports custom providers, with live credential refresh and cleanup on deletion. Thanks @AaronZ345 (#3022) - **Reliable SSE reconnection**: the Web SSE lifecycle is now complete, reconnecting with event replay after a network drop and cutting message loss on long tasks. Thanks @lisheng-SenLee (#3014) - **Reasoning display**: fixed several issues with tool cards, file links, and image display in reasoning mode. - **Rate-limit backoff**: capped the backoff when the LLM is rate-limited, avoiding long waits. Thanks @tim-korso (#3018) - **Quiet scheduled tasks**: a scheduled task with nothing to report no longer sends an empty message. Thanks @kowkowhuang (#3001) - **Service stop time**: fixed an end-of-day time (such as 23:59) being rejected as a service stop time. Thanks @Iams4kura (#3020) - **Domain scheme**: fixed an explicit http/https scheme in `WEBSITES_DOMAIN` not being honored. Thanks @6vision (#3015) - **WeChat media**: fixed personal WeChat failing to send or receive images, files, and other media over unreliable networks, and refined image recognition. - **Feishu channel**: fixed new messages being dropped when their delivery lagged. - **Telegram**: fixed Markdown rendering and a long summary dropping attached files. - **File replies**: fixed a file reply dropping the accompanying text and other attachments, and a tool's file link stranding the client's tool card. - **Docker**: installs tzdata so the `TZ` environment variable takes effect. ## 📦 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**: 2026.08.12 | [Full Changelog](https://github.com/zhayujie/CowAgent/compare/2.1.5...2.1.6)
▸ 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.