Open Manus - The Open Source Alternative To Manus.ai
Open Manis: The Open-Source Alternative to Manis AI
After my video yesterday on Manis AI, it definitely caught a lot of people's attention. There seems to be considerable hype around it—my Twitter timeline was filled with all sorts of creations and content related to Manis. However, there's one significant problem: Manis is only accessible through a waitlist. It's not open source, which frustrates many people who can't access it freely.
Today, I'm showcasing an open-source alternative called **Open Manis**. This was discovered thanks to my Discord community (link in the description below).
What is Manis?
If you haven't seen my previous video on Manis, I definitely recommend watching it to get a better understanding. In short, Manis is a general AI agent that connects thoughts and actions, outperforming OpenAI and DeepMind research in terms of performance.
To showcase its capabilities, here's an example: A prompt was sent to Manis that resulted in creating a dashboard for Nvidia stock. This dashboard fetched up-to-date data on the stock itself, tracking price variations over different time frames and assessing risk factors. All of this was accomplished through the Manis AI agent, which fully coded all the functionalities, created the app itself, and ensured it was functional by debugging and refining it for proper use.
Introducing Open Manis
Thanks to amazing contributors, we now have an open-source version of Manis that offers similar functionality. The only downside is that it doesn't have a UI like the original. To mimic Manis's AI agent capabilities, they've developed Open Manis RL, which improves large language model agent reasoning using reinforcement learning. The goal was to push the limits of AI agents deployed within Open Manis.
Open Manis in Action
Here's an example of Open Manis working in real-time: It ran a thorough SEO audit focusing on optimization strategies for a website. The AI agent scraped the content and provided a full report within seconds. The report included an executive summary, technical SEO analysis, and specific recommendations—all done with the help of Open Manis AI agents.
How to Install Open Manis Locally
There are two methods to install Open Manis:
1. Using Conda (which we'll cover here)
2. Using uv (which is recommended)
Prerequisites:
- Conda installed
- Python
- Git
- VS Code
- PIP
Installation Steps:
1. **Create a new Conda environment:**
```
conda create -n openmanis python=3.10
```
2. **Activate the environment:**
```
conda activate openmanis
```
3. **Clone the repository:**
```
git clone https://github.com/meta-gbt/open-manis.git
```
4. **Navigate to the Open Manis folder:**
```
cd open-manis
```
5. **Install dependencies:**
```
pip install -r requirements.txt
```
6. **Configure API keys:**
- Open VS Code and open the Open Manis folder
- Find the config file example in the folder
- Configure the LLM configurations and vision configurations (optional)
- If you don't want to spend on API keys, you can use alternatives like Groq or Hyperbolica, which let you access different models for free (with rate limits)
- Rename the file by removing ".example" from the end
- Save the file
7. **Run Open Manis:**
```
python main.py
```
Testing Open Manis
I tested Open Manis by having it create a weather app with live animations that dynamically change based on current weather conditions. After giving it this prompt, it worked in real-time to develop the application. The terminal showed all the edits being made live in action.
The resulting weather app showcased live animations based on the location input. While it wasn't linked to an actual weather API that would accurately show the real weather, it could depict different weather conditions like thunderstorms or moderate rain based on inputs.
Observations and Conclusion
I've seen some impressive things accomplished with Open Manis, such as creating CSV files and executing commands. However, I've noticed it's slower compared to the original Manis—this is one of the downsides to keep in mind. It's not as refined as Manis and might not give you the best results immediately since it's fairly new. It will likely be improved over time as more contributors work on it.
Huge props to the MetaGTP team for developing this prototype as an open-source alternative to Manis. I definitely recommend trying it out if you're still on the waitlist for Manis. It's a great alternative that will get the job done in terms of basic outputs.
Links from the video:
https://github.com/mannaandpoem/OpenManus
https://git-scm.com/downloads
https://code.visualstudio.com/download
https://app.hyperbolic.xyz
Other Resources:
https://petals.dev
https://sharegpt.com
https://powershellgpt.com
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