- by x32x01 ||
If you want to automate real tasks on your computer without paying for an expensive AI subscription, DeepSeek Harness is worth a look.
Harness is presented as a local, open-source AI agent from DeepSeek that can handle tasks directly on your computer. In my own tests, I used it for three different automation tasks in a single day without paying for a subscription.
Here are the three experiments.
I asked Harness to:
I had previously tested Goose with around 100 books for a similar task, but Harness handled the larger collection in my test without the same usage limitation.
⚠️ Important: Always make a backup before allowing an AI agent to move, rename, or modify large numbers of files.
I asked Harness to:
This is the kind of task where an AI agent can save a lot of manual work because it can analyze the files and then perform the organizational actions for you.
I connected Harness to my Facebook account through MCP and asked it to work with my page, "Kalam Bara El Sandoq."
The goal was to collect the comments from each post or article and organize them into a single Excel file on my computer.
I asked it to keep the comments for each post in a separate sheet and then generate a detailed report analyzing the comments.
The complete task took around 10 minutes, and the results were excellent in my test.
This example shows why AI agents can be more useful than simple chatbots. Instead of only answering a question, the agent can connect to external services, work with data, create files, and complete a multi-step task.
You can extend the program by adding plugins, similar to installing extensions in a web browser.
This can potentially add capabilities such as:
For these tests, the author noted that DeepSeek-V4.1-Flash was free and performed well enough that an external API was generally unnecessary for these tasks.
The important point is that Harness is not limited to being a simple conversational interface. The goal is to give an AI model access to tools that allow it to actually perform tasks.
https://www.deepseek.com/en/harness/
After installing it, the setup described in the original test involves signing in with a DeepSeek account.
That makes them powerful, but it also means you should be careful when giving them access to important data.
Before experimenting with large folders, make a backup of your files.
This is especially important when an agent is allowed to rename, move, modify, or delete files automatically.
Instead of manually performing dozens or hundreds of repetitive actions, you can describe the goal and let the agent handle multiple steps.
The experiments above covered three very different workflows:
These are personal test results, not guaranteed completion times. Your results can vary depending on the files, computer, connected services, and task complexity.
Instead of simply generating text, an AI agent can potentially analyze files, organize information, interact with connected services, create reports, and automate repetitive workflows.
If you are interested in AI automation, MCP, local AI agents, or computer-based workflows, Harness is definitely an interesting tool to experiment with.
And if you are new to some of the technical concepts used here, you can use an AI assistant to explain them or look for practical tutorials and videos on YouTube.
The original author also points readers toward a broader AI automation course covering additional tools and ways to connect them together.
Harness is presented as a local, open-source AI agent from DeepSeek that can handle tasks directly on your computer. In my own tests, I used it for three different automation tasks in a single day without paying for a subscription.
Here are the three experiments.
📚 1. Organizing 500 Books Automatically
I had a folder containing around 500 books, with unclear filenames and mixed subjects.I asked Harness to:
- Analyze the book titles and, when needed, the first few pages.
- Divide the books into seven categories such as history, business, health, and others.
- Move each book into the appropriate category folder.
- Clean up the book titles so they were easier to understand.
I had previously tested Goose with around 100 books for a similar task, but Harness handled the larger collection in my test without the same usage limitation.
⚠️ Important: Always make a backup before allowing an AI agent to move, rename, or modify large numbers of files.
🎥 2. Organizing 50 Short Videos
The second test involved a folder containing 50 short videos with unclear titles and content.I asked Harness to:
- Briefly describe what each video contained.
- Classify the videos.
- Create or use appropriate folders.
- Move each video to the correct folder.
This is the kind of task where an AI agent can save a lot of manual work because it can analyze the files and then perform the organizational actions for you.
📊 3. Collecting Facebook Comments with MCP
The third experiment was more interesting.I connected Harness to my Facebook account through MCP and asked it to work with my page, "Kalam Bara El Sandoq."
The goal was to collect the comments from each post or article and organize them into a single Excel file on my computer.
I asked it to keep the comments for each post in a separate sheet and then generate a detailed report analyzing the comments.
The complete task took around 10 minutes, and the results were excellent in my test.
This example shows why AI agents can be more useful than simple chatbots. Instead of only answering a question, the agent can connect to external services, work with data, create files, and complete a multi-step task.
🧩 Everything Is a Plugin
One of the interesting ideas behind Harness is its "Everything is a plugin" approach.You can extend the program by adding plugins, similar to installing extensions in a web browser.
This can potentially add capabilities such as:
- ⏰ Scheduling tasks to run automatically.
- 📱 Controlling the program remotely from a phone.
- 🔌 Connecting additional tools and services.
- 🤖 Extending the agent with new workflows.
🤖 Which AI Models Can Harness Use?
According to the original experience, the main models powering the agent are from DeepSeek, while external models can also be used through APIs.For these tests, the author noted that DeepSeek-V4.1-Flash was free and performed well enough that an external API was generally unnecessary for these tasks.
The important point is that Harness is not limited to being a simple conversational interface. The goal is to give an AI model access to tools that allow it to actually perform tasks.
⬇️ Where to Get DeepSeek Harness
You can find DeepSeek Harness here:https://www.deepseek.com/en/harness/
After installing it, the setup described in the original test involves signing in with a DeepSeek account.
⚠️ Back Up Your Files Before Testing
AI agents can perform real operations on your computer, including organizing and moving files.That makes them powerful, but it also means you should be careful when giving them access to important data.
Before experimenting with large folders, make a backup of your files.
This is especially important when an agent is allowed to rename, move, modify, or delete files automatically.
💡 Why AI Agents Like Harness Are Interesting
The biggest difference is the shift from "ask AI a question" to "give AI a task."Instead of manually performing dozens or hundreds of repetitive actions, you can describe the goal and let the agent handle multiple steps.
The experiments above covered three very different workflows:
| Task | Files/Data | Approx. Time |
|---|---|---|
| Organizing books | 500 books | 9 minutes |
| Organizing videos | 50 videos | 7 minutes |
| Facebook comment analysis | Multiple posts | 10 minutes |
🚀 Final Thoughts
DeepSeek Harness is interesting because it brings AI closer to real computer automation.Instead of simply generating text, an AI agent can potentially analyze files, organize information, interact with connected services, create reports, and automate repetitive workflows.
If you are interested in AI automation, MCP, local AI agents, or computer-based workflows, Harness is definitely an interesting tool to experiment with.
And if you are new to some of the technical concepts used here, you can use an AI assistant to explain them or look for practical tutorials and videos on YouTube.
The original author also points readers toward a broader AI automation course covering additional tools and ways to connect them together.