Personal assistants · AI agent
CowAgent: review, pricing, security and alternatives
CowAgent is an open-source AI agent published by zhayujie, in the personal assistants family. A personal assistant that plans tasks, runs tools and skills, and retains memory across multiple communication channels. Its repository has 47,553 stars and its last commit is from October 24, 2026.
| Adoption (stars) | 32/40 | |
|---|---|---|
| Activity (commits, releases) | 30/30 | |
| Framework (licence, control, models) | 25/30 |
What CowAgent does
CowAgent belongs to the personal assistants family: general-purpose agents, often self-hosted and driven from a messaging app, that act for you on your files, accounts and services. On our grid it ranks #4 of the 46 projects of this family listed in the directory.
You use it from: messaging (Telegram, Slack, WhatsApp…). Usable models: GPT (OpenAI), DeepSeek, and Claude (Anthropic). It can run on your own machine or server.
Who is CowAgent for?
It targets individuals and freelancers who want an assistant able to act for them day to day, often from a messaging app. Typical tasks people give it:
- sort e-mail and draft replies
- manage a calendar and reminders
- look up information and summarise it
- run small recurring tasks
It is a good candidate if you want to talk to it from your usual messaging app, without opening another app and your data must stay on your machines.
Access and human control
According to its documentation, CowAgent can:
- read and send messages
We could not establish whether it asks for human approval before sensitive actions: test it first on an unimportant account or folder.
CowAgent pricing
The code is free, under the MIT licence.
Getting started with CowAgent
- Install it: the project ships as a Python package (install with
piporuv). The exact command is in the repository README. - Create an API key with the model provider and put it in an environment variable, never in a shared or versioned file.
- Give it a first playground with nothing at stake: a test folder, a secondary account or a throwaway project. Only open your real accounts once you have seen how it behaves.
- Give it a short, checkable task, review the result and its action log, then raise the difficulty step by step.
Security: risk level
A personal assistant often combines access to private data, reading outside content and sending messages: the combination that enables data leaks through prompt injection.
Three habits: least privilege (minimal rights, dedicated keys), human approval for irreversible actions, a sandbox for code execution. The AI agent security check reviews your setup in a few minutes.
Project activity and releases
Created on August 7, 2022, the zhayujie/CowAgent repository has 47,553 stars, 10,408 forks and 14 open issues, with 4,259 commits in total. It received changes this month.
Over the last 52 weeks: 2,079 commits, an average of 40 per week.
85 releases in total; 22 in the last twelve months. Latest release: 2.2.1, on October 14, 2026.
CowAgent vs other personal assistants
GitHub stars of the best-rated open-source projects in the personal assistants family. Stars measure attention, not quality: a heavily promoted project collects them fast, a specialised tool will have few.
CowAgent and other personal assistants at a glance
The 7 best-ranked agents in the same family, 7 of them open source. The score out of 100 only applies to open-source projects; for proprietary services we show the published entry price. A dash marks information the documentation does not state.
| Agent | Model | Score | Stars or entry price | Self-hostable | Human approval |
|---|---|---|---|---|---|
| CowAgent | open source | 87 | 47.6K ★ | yes | – |
| OpenClaw | open source | 95 | 392.9K ★ | yes | – |
| Hermes Agent | open source | 90 | 256.7K ★ | yes | – |
| nanobot | open source | 87 | 49.3K ★ | yes | – |
| QwenPaw | open source | 86 | 36K ★ | yes | – |
| ZeroClaw | open source | 85 | 33K ★ | yes | – |
| OpenHuman | open source | 82 | 42.3K ★ | yes | – |
| NanoClaw | open source | 80 | 31K ★ | yes | – |
How we rated it
Score: 87/100, computed only from public, verifiable data, with no subjective testing or partnership:
- Adoption 32/40: 47,553 stars on a log scale (40 points from about 200,000).
- Activity 30/30: last commit less than a month ago, 14 releases in six months, 2,079 commits in a year.
- Framework 25/30: licence, default human approval, self-hosting, model choice and documentation site.
The score does not say whether the agent will succeed at your tasks: it measures how solid the project is. The full grid is on the method page.
Verdict
CowAgent is one of the most solid projects in its family: followed, active and well framed.
Strengths
- Widely followed: 47.6K stars
- Very active development
- Frequent releases (22 in a year)
- Can run on your side: data under control
- Free choice of model
Avoid if…
- It would access personal or bank accounts unattended
Alternatives
Learn more
Frequently asked questions
Is CowAgent free?
The software is free (MIT licence). You still pay for the model calls, unless you use a local model.
Is CowAgent safe?
Our risk level: mid. Give it minimum rights and approve irreversible actions.
Which models does CowAgent use?
According to its documentation: GPT (OpenAI), DeepSeek, and Claude (Anthropic).
Can CowAgent be installed on your own server?
Yes, from the zhayujie/CowAgent repository. Data then stays with you, but security and updates are your job.
What are the alternatives to CowAgent?
In the same family: OpenClaw, Hermes Agent, nanobot, and QwenPaw.
CowAgent or OpenClaw: what is the difference?
Both belong to the personal assistants family. CowAgent has 47.6K stars against 392.9K for OpenClaw. The right choice mostly depends on the access you are willing to give it.
Related articles
- Open source or proprietary AI agent: how to decideOctober 25, 2026
- AI agent vs. chatbot: what's the difference?October 24, 2026
- Autonomous AI agents: how much should you let them do?October 12, 2026
- AI agent memory: how agents remember (and forget)October 11, 2026
Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score