Open Agent Studio is the first cross platform desktop application built to enable Agentic Process Automation as an open-source alternative and replacement for UIpath and all other RPA tools today.
Download for Windows and Mac at https://openagent.studio.
We founded Cheat Layer during the pandemic to help people who had lost their jobs and businesses rebuild online using GPT-3. We personally helped hundreds pro bono before turning to AI for help.
In August 2021, we were the first startup to get approved by openAI to sell GPT-3 for automation. We were the first to publish our framework for agents, Project Atlas, in July 2022.
Businesses today are threatening to fire employees and replace them with AI. We believe within 2 years, the AI necessary to generate most of those businesses will be a commodity.
In a future where the AI in your pocket can generate custom, secure, and free versions of all the most expensive business software, we believe there'll be a level playing field that removes the barrier to build these businesses. More small businesses will build competitive brands through personal relationships, better quality service, and network effects through unique data. We invite you to join us in building this future together faster.
This is an older public version of our internal private repo which will be updated in the coming days with the latest updates to Open Agent Studio 7.0.0 whch can be downloaded at openagent.studio now.
Semantic targets distils the underlying intent of a target to english, so they still work even if services completely change their designs. This enables building robust, future-proof, agents.
Semantic targets can be dynamic or robust based on how strict the language is.
Check docs.cheatlayer.com for more details.
Install Python 3.10 You need to install python 3.10 to enable agents to install any arbitrary python library when solving general problems.
You can get Python 3.10 from the Windows Store.
Python 3.1 for Cheat Layer Desktop Windows Store Python 3.1
Download the Software: Visit the official Cheat Layer website and download the latest version of Cheat Layer Desktop.
To get the latest version of Cheat Layer Desktop. Navigate to the cheat layer web page, click on the option for interactive onboarding, and then proceed to download Cheat Layer Desktop.
Run the Installer: Locate the downloaded file and decompress the file.
Extracting the compressed files from .zip file Extracting Cheat Layer Desktop Follow the on-screen instructions to finish the decompression process.
Initiating Cheat Layer Desktop for the first time involves navigating through Windows security prompts. Upon launching the application, Windows may display security warnings. Users should select "More info".
Then select the option "Run anyway"
Then, follow this quick start guide to dive deeper into Cheat Layer Desktop:
Windows 11
i5 Intel CPU (llama.cpp does not support ARM cpus currently, but you may be able to compile the dll yourself for Surface laptops)
8 GB RAM
Python 3.10
OSX
Mac M1 CPU
Mac Intel CPU
8 GB RAM
Python 3.10
Chrome Extension Installed Locally in new Chrome Profile
100% Display Scale
Cheat Layer Desktop requires users to keep the display scaling set to 100%.
We currently only support single monitor agents, but in the future we can train multi-monitor agents. Please ensure you use one monitor and the same resolution the agent creator uses for publishes agents.
Go to System Preferences > Security & Privacy.
Click the Privacy tab.
Scroll through the list on the left to find Full Disk Access or Files and Folders.
Click the lock icon at the bottom left to make changes (you may need to enter your administrator password).
Check if terminal and cheatlayeror a related process is listed and has a checkmark next to it. If not, you can add it by clicking the plus sign (+) and navigating to the application in your Applications folder.
Add "terminal" to the "accessibility" and "screen recording" lists.
Then click the "General" tab, and click run apps from the App Store and approved developers.
We forked the https://github.com/jchanvfx/NodeGraphQt framework for the UI.