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SkillsMay 12, 2026·2 min de lectura

CowAgent — Multichannel AI Assistant with Skills and Memory

CowAgent ships a long-running assistant with skills, browser tools, memory, and channel integrations for teams deploying one agent across chat and web.

Listo para agents

Este activo puede ser leído e instalado directamente por agents

TokRepo expone un comando CLI universal, contrato de instalación, metadata JSON, plan según adaptador y contenido raw para que los agents evalúen compatibilidad, riesgo y próximos pasos.

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Cualquier agent MCP/CLI
Tipo
Skill
Instalación
Single
Confianza
Confianza: Established
Entrada
Asset
Comando CLI universal
npx tokrepo install b864ec53-dde2-5419-8a44-4c0b20b6d633
Introducción

CowAgent ships a long-running assistant with skills, browser tools, memory, and channel integrations for teams deploying one agent across chat and web.

  • Best for: operators who need one assistant across chat channels, web console, and optional browser tooling
  • Works with: Python 3.7-3.13, CLI management, Playwright browser install, WeChat/Feishu/QQ/web channels, knowledge and memory modules
  • Setup time: 20-45 minutes

Practical Notes

  • Quant: the README supports Python 3.7 through 3.13, which is broader than many newer agent projects.
  • Quant: release notes in the README show frequent 2026 updates, including browser tools, skill hub, memory upgrades, and multiple model additions.

Rollout pattern

  • Start with one channel or the web console, not every supported channel at once.
  • Delay browser automation until the basic dialog, memory, and model configuration path is stable.
  • Use a cost-aware model selection because the README warns that agent mode consumes more tokens than normal chat mode.

Watchouts

This assistant reaches across local systems and external channels, so model cost controls, channel scoping, and browser permissions should be reviewed before broad deployment.

FAQ

Q: Can I skip source installs? A: Yes. The README provides one-line run scripts for Linux/macOS and PowerShell on Windows.

Q: What if I need browser actions? A: Install the optional browser layer with cow install-browser after the base service is stable.

Q: Why is model choice important? A: The maintainers explicitly note that agent mode can use more tokens than standard chat.

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Fuente y agradecimientos

Source: https://github.com/zhayujie/CowAgent > License: MIT > GitHub stars: 44,367 · forks: 10,081

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