CowAgent

CowAgent is an open-source AI assistant and agent framework that decomposes complex user requests into steps and executes them autonomously using a planner, tools, and a library of skills. Out of the box it ships with file I/O, terminal access, headless-browser control, and web search, so an agent can research a topic, draft a document to disk, run a shell command, and open a page without the operator wiring each capability by hand. A three-tier memory system separates short-term context, working memory, and a persistent knowledge base, which lets long-running sessions accumulate facts about a project or user without blowing the context window on every turn. The framework is model-agnostic: Claude, GPT, Gemini, DeepSeek, Qwen, GLM, Kimi, MiniMax and Doubao are all supported through a one-click switcher, so teams can route cheap traffic to a local or Chinese model and reserve frontier models for hard steps. A skill marketplace lets the community publish reusable capabilities (scrapers, connectors, task templates) that can be added to an agent as easily as a browser extension, and deployments can front-end the same agent through a web UI, a messaging bot, or a terminal REPL. It targets developers and small operations teams who want an autonomous assistant that runs on their own servers, respects their data boundary, and can be extended in code rather than configured through a closed SaaS console. Typical workflows include automating repetitive ops chores, building a personal research agent that browses and summarises across sessions, orchestrating multi-tool coding tasks, and shipping an internal chatbot that can actually take action rather than just chat. Because it is MIT-licensed and has a large GitHub following, it is a reasonable substrate for teams that want something between a raw LLM SDK and a locked-down agent platform like Manus or Devin.