Verified project record

zhayujie/CowAgent

zhayujie/cowagent is an AI assistant and agent harness designed for 24/7 operation across multiple platforms. It supports task planning, tool usage, long-term memory, multi-model routing, and requires a configured LLM provider for inference.

Project overview

The project provides a reference implementation of Agent Harness engineering with decoupled layers, combined with a nightly Deep Dream process that processes memories into long-term entries.

Project type: MCP · AI Agent · Workflow
Use cases: Documents & Office · Knowledge Q&A · Automation
Deployment: Refer to project documentation
License: MIT

Best for

Developers, general users, or enterprise teams who need a persistent AI agent that automates tasks, manages personal knowledge, and operates across multiple chat platforms.

Key capabilities

Decomposes complex tasks and executes them step by step, looping over tools until the goal is reached.
Maintains context, daily, and core memory tiers with Deep Dream distillation and hybrid keyword + vector retrieval.
Auto-curates structured knowledge into a Markdown wiki and builds an evolving knowledge graph.
Automatically reviews conversations to improve skills, follow up on unfinished tasks, and consolidate memory.
Supports one-click installation of skills from Skill Hub, GitHub, and others, plus conversational authoring of custom skills.
Includes file I/O, terminal, browser, scheduler, memory retrieval, web search, and more.
Serves multiple channels in parallel including Web, WeChat, Telegram, Slack, DingTalk, and more.
Provides support for text, images, voice, and files for recognition, generation, and delivery.

Limitations and risks

Agent mode has access to the local operating system, restricting safe deployment to trusted environments.
Agent mode consumes substantially more tokens than regular chat.

Getting started

Run the one-line installer script or execute docker compose up. After initialization, open http://localhost:9899 to access the Web console.

Alternatives and comparisons

Fair-code platform to build and deploy AI agents and workflows with a visual canvas, custom code, and deep integrations.
A small, readable self-hosted AI agent core that provides long-running capabilities including WebUI, chat channels, tools, memory, MCP, and model routing.
An extensible, type-safe AI workflow automation platform with a no-code builder, where contributed pieces automatically become available as MCP servers.

Project comparisons

Evidence and sources

GitHub project description: Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge.
README: 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…
README: 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; *…
README: 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.
README: 2026.02.03: v2.0.0 — Major upgrade to a super Agent assistant with multi-step task planning, long-term memory, and the Skills framework.

Reviewed at: 2026-07-17T07:44:27Z

Open original GitHub project