CowAgent vs Octop
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
Open-source personal AI assistant that plans tasks, uses tools, and keeps memory across chat platforms.
Open source · MIT
A self-hosted AI assistant that runs multiple agents for several users on your own machine.
The short answer
Choose CowAgent if you need…
- People who want a self-hosted personal assistant reachable from their everyday chat apps
- Developers who want an extensible agent framework with skills and MCP support
- Users who want to switch between several LLM providers without rewriting setup
- Teams experimenting with shared multi-agent conversations
Choose Octop if you need…
- Households or small teams that want a shared, self-hosted assistant
- People who want to keep conversations and credentials on their own machine
- Users who already chat through Feishu, DingTalk, WeCom, Telegram or Discord and want an AI assistant there
- Developers who want to delegate coding tasks to OpenCode or Claude Code through ACP
Side-by-side
| CowAgent | Octop | |
|---|---|---|
| Type | App | App |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 47.8k | 11.5k |
| Setup difficulty | Intermediate | Intermediate |
| How you get it | Install with a package manager | Download the app |
| Main language | Python | Python |
| Last code update | 4 days ago | 4 days ago |
What each one is
CowAgent
CowAgent is an open-source AI assistant meant to run 24/7 on a personal computer or server. It can plan multi-step tasks, use tools and skills, keep long-term memory and a knowledge base, and be reached through a web console or chat apps such as WeChat, Feishu, DingTalk, Telegram and Slack. You connect it to a model provider of your choice, such as Claude, GPT, Gemini or DeepSeek.
Octop
Octop is an open-source AI assistant that runs as a single process on your own computer. It serves a web dashboard, a command-line interface, chat integrations such as Feishu, Telegram and Discord, and scheduled tasks, with all data kept under ~/.octop/. Each user can have their own set of specialized agents, which suits households and small teams who want to keep their conversations and credentials local.
Best for
CowAgent
- People who want a self-hosted personal assistant reachable from their everyday chat apps
- Developers who want an extensible agent framework with skills and MCP support
- Users who want to switch between several LLM providers without rewriting setup
- Teams experimenting with shared multi-agent conversations
Octop
- Households or small teams that want a shared, self-hosted assistant
- People who want to keep conversations and credentials on their own machine
- Users who already chat through Feishu, DingTalk, WeCom, Telegram or Discord and want an AI assistant there
- Developers who want to delegate coding tasks to OpenCode or Claude Code through ACP
Strengths
CowAgent
- Supports many model providers and lets you route chat, vision, speech and embeddings to different vendors
- Offers a one-line installer, Docker option and desktop client for different setups
- MIT licensed with a large community and active development
Octop
- Keeps data local: the README states all data lives under ~/.octop/ with SQLite by default
- One process serves the web UI, CLI, chat channels and cron, which keeps setup simpler
- Supports multiple users and multiple experts per user, each with its own workspace
Not ideal for
CowAgent
- Users who need a simple hosted service with no setup, since the README centers on self-hosting or a separate online option
- People who are uncomfortable giving an AI agent access to their computer and external accounts, because it can control files, terminal and browser
- Users who only need a basic chatbot, since the feature set is broad and heavier to run
Octop
- People who need a mature, fully stable product: the release is tagged 1.0.3b1 and AgentTeams is marked Beta in the README
- Users who want a zero-setup hosted service, since Octop is designed to run on your own machine
- Anyone unwilling to manage a self-hosted process, its database and its connectors
Trade-offs
CowAgent
- Broad permissions (files, terminal, browser) raise security and privacy considerations that the user must manage
- The README is truncated and does not fully document every configuration option, so confidence in details is limited
- Running it 24/7 on a server requires opening a port and setting a web password, which adds setup work
Octop
- The README describes many features; some, like AgentTeams, are marked Beta
- Several features (remote desktop, browser automation, terminal AI) add setup and security considerations that the README only partly explains in the visible text
- The README shown here is truncated, so detailed setup and configuration steps could not be verified
Getting started
CowAgent
Linux / macOS one-line installer
bash <(curl -fsSL https://cdn.link-ai.tech/code/cow/run.sh)Windows (PowerShell) one-line installer
irm https://cdn.link-ai.tech/code/cow/run.ps1 | iexOctop
Clone the repository
git clone https://github.com/TencentCloud/OctopFrequently asked questions
What is the difference between CowAgent and Octop?
CowAgent: Open-source personal AI assistant that plans tasks, uses tools, and keeps memory across chat platforms. Octop: A self-hosted AI assistant that runs multiple agents for several users on your own machine. CowAgent suits people who want a self-hosted personal assistant reachable from their everyday chat apps, while Octop suits households or small teams that want a shared, self-hosted assistant.
Are CowAgent and Octop free?
CowAgent: Free and open source. Octop: Free and open source.
Is CowAgent or Octop more popular?
CowAgent has more GitHub stars (47.8k) than Octop (11.5k). Popularity isn't the same as fit — check which one matches your use case above.
What are other alternatives to CowAgent and Octop?
Other options people compare them with include OpenClaw, nanobot, MindsHub, Paperclip, Horizon.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.