mirror of
https://github.com/tcsenpai/agenticSeek.git
synced 2025-06-06 11:05:26 +00:00
259 lines
6.9 KiB
Markdown
259 lines
6.9 KiB
Markdown
|
||
# AgenticSeek: Manus-like AI powered by Deepseek R1 Agents.
|
||
|
||
|
||
**A fully local alternative to Manus AI**, a voice-enabled AI assistant that codes, explores your filesystem, browse the web and correct it's mistakes all without sending a byte of data to the cloud. Built with reasoning models like DeepSeek R1, this autonomous agent runs entirely on your hardware, keeping your data private.
|
||
|
||
[](https://fosowl.github.io/agenticSeek.html)  
|
||
> 🛠️ **Work in Progress** – Looking for contributors!
|
||
|
||
|
||
|
||
|
||
|
||
## Features:
|
||
|
||
- **100% Local**: No cloud, runs on your hardware. Your data stays yours.
|
||
|
||
- **Voice interaction**: Voice-enabled natural interaction.
|
||
|
||
- **Filesystem interaction**: Use bash to navigate and manipulate your files effortlessly.
|
||
|
||
- **Code what you ask**: Can write, debug, and run code in Python, C, Golang and more languages on the way.
|
||
|
||
- **Autonomous**: If a command flops or code breaks, it retries and fixes it by itself.
|
||
|
||
- **Agent routing**: Automatically picks the right agent for the job.
|
||
|
||
- **Divide and Conquer**: For big tasks, spins up multiple agents to plan and execute.
|
||
|
||
- **Tool-Equipped**: From basic search to flight APIs and file exploration, every agent has it's own tools.
|
||
|
||
- **Memory**: Remembers what’s useful, your preferences and past sessions conversation.
|
||
|
||
- **Web Browsing**: Autonomous web navigation is underway.
|
||
|
||
|
||
### Searching the web with agenticSeek :
|
||
|
||
|
||
|
||
*See media/examples for other use case screenshots.*
|
||
|
||
---
|
||
|
||
## **Installation**
|
||
|
||
### 1️⃣ **Clone the repository**
|
||
|
||
```sh
|
||
git clone https://github.com/Fosowl/agenticSeek.git
|
||
cd agenticSeek
|
||
```
|
||
|
||
### 2️ **Create a virtual env**
|
||
|
||
```sh
|
||
python3 -m venv agentic_seek_env
|
||
source agentic_seek_env/bin/activate
|
||
# On Windows: agentic_seek_env\Scripts\activate
|
||
```
|
||
|
||
### 3️⃣ **Install package**
|
||
|
||
**Automatic Installation:**
|
||
|
||
```sh
|
||
./install.sh
|
||
```
|
||
|
||
**Manually:**
|
||
|
||
```sh
|
||
pip3 install -r requirements.txt
|
||
# or
|
||
python3 setup.py install
|
||
```
|
||
|
||
|
||
## Run locally on your machine
|
||
|
||
**We recommend using at least Deepseek 14B, smaller models struggle with tool use and forget quickly the context.**
|
||
|
||
### 1️⃣ **Download Models**
|
||
|
||
Make sure you have [Ollama](https://ollama.com/) installed.
|
||
|
||
Download the `deepseek-r1:7b` model from [DeepSeek](https://deepseek.com/models)
|
||
|
||
```sh
|
||
ollama pull deepseek-r1:7b
|
||
```
|
||
|
||
### 2️ **Run the Assistant (Ollama)**
|
||
|
||
Start the ollama server
|
||
```sh
|
||
ollama serve
|
||
```
|
||
|
||
Change the config.ini file to set the provider_name to `ollama` and provider_model to `deepseek-r1:7b`
|
||
|
||
NOTE: `deepseek-r1:7b`is an example, use a bigger model if your hardware allow it.
|
||
|
||
```sh
|
||
[MAIN]
|
||
is_local = True
|
||
provider_name = ollama
|
||
provider_model = deepseek-r1:7b
|
||
```
|
||
|
||
start all services :
|
||
|
||
```sh
|
||
./start_services.sh
|
||
```
|
||
|
||
Run the assistant:
|
||
|
||
```sh
|
||
python3 main.py
|
||
```
|
||
|
||
---
|
||
|
||
## **Run the LLM on your own server**
|
||
|
||
If you have a powerful computer or a server that you can use, but you want to use it from your laptop you have the options to run the LLM on a remote server.
|
||
|
||
### 1️⃣ **Set up and start the server scripts**
|
||
|
||
On your "server" that will run the AI model, get the ip address
|
||
|
||
```sh
|
||
ip a | grep "inet " | grep -v 127.0.0.1 | awk '{print $2}' | cut -d/ -f1
|
||
```
|
||
|
||
Note: For Windows or macOS, use ipconfig or ifconfig respectively to find the IP address.
|
||
|
||
Clone the repository and then, run the script `stream_llm.py` in `server/`
|
||
|
||
```sh
|
||
python3 server_ollama.py
|
||
```
|
||
|
||
### 2️⃣ **Run it**
|
||
|
||
Now on your personal computer:
|
||
|
||
Clone the repository.
|
||
|
||
Change the `config.ini` file to set the `provider_name` to `server` and `provider_model` to `deepseek-r1:7b`.
|
||
Set the `provider_server_address` to the ip address of the machine that will run the model.
|
||
|
||
```sh
|
||
[MAIN]
|
||
is_local = False
|
||
provider_name = server
|
||
provider_model = deepseek-r1:14b
|
||
provider_server_address = x.x.x.x:5000
|
||
```
|
||
|
||
Run the assistant:
|
||
|
||
```sh
|
||
./start_services.sh
|
||
python3 main.py
|
||
```
|
||
|
||
## **Run with an API**
|
||
|
||
Clone the repository.
|
||
|
||
Set the desired provider in the `config.ini`
|
||
|
||
```sh
|
||
[MAIN]
|
||
is_local = False
|
||
provider_name = openai
|
||
provider_model = gpt4-o
|
||
provider_server_address = 127.0.0.1:5000 # can be set to anything, not used
|
||
```
|
||
|
||
Run the assistant:
|
||
|
||
```sh
|
||
./start_services.sh
|
||
python3 main.py
|
||
```
|
||
|
||
---
|
||
|
||
## Providers
|
||
|
||
The table below show the available providers:
|
||
|
||
| Provider | Local? | Description |
|
||
|-----------|--------|-----------------------------------------------------------|
|
||
| Ollama | Yes | Run LLMs locally with ease using ollama as a LLM provider |
|
||
| Server | Yes | Host the model on another machine, run your local machine |
|
||
| OpenAI | No | Use ChatGPT API (non-private) |
|
||
| Deepseek | No | Deepseek API (non-private) |
|
||
| HuggingFace| No | Hugging-Face API (non-private) |
|
||
|
||
|
||
To select a provider change the config.ini:
|
||
|
||
```
|
||
is_local = False
|
||
provider_name = openai
|
||
provider_model = gpt-4o
|
||
provider_server_address = 127.0.0.1:5000
|
||
```
|
||
`is_local`: should be True for any locally running LLM, otherwise False.
|
||
|
||
`provider_name`: Select the provider to use by its name, see the provider list above.
|
||
|
||
`provider_model`: Set the model to use by the agent.
|
||
|
||
`provider_server_address`: can be set to anything if you are not using the server provider.
|
||
|
||
## FAQ
|
||
**Q: What hardware do I need?**
|
||
|
||
7B Model: GPU with 8GB VRAM.
|
||
14B Model: 12GB GPU (e.g., RTX 3060).
|
||
32B Model: 24GB+ VRAM.
|
||
|
||
**Q: Why Deepseek R1 over other models?**
|
||
|
||
Deepseek R1 excels at reasoning and tool use for its size. We think it’s a solid fit for our needs other models work fine, but Deepseek is our primary pick.
|
||
|
||
**Q: I get an error running `main.py`. What do I do?**
|
||
|
||
Ensure Ollama is running (`ollama serve`), your `config.ini` matches your provider, and dependencies are installed. If none work feel free to raise an issue.
|
||
|
||
**Q: How to join the discord ?**
|
||
|
||
Ask in the Community section for an invite.
|
||
|
||
**Q: Can it really run 100% locally?**
|
||
|
||
Yes with Ollama or Server providers, all speech to text, LLM and text to speech model run locally. Non-local options (OpenAI or others API) are optional.
|
||
|
||
**Q: How come it is older than manus ?**
|
||
|
||
we started this a fun side project to make a fully local, Jarvis-like AI. However, with the rise of Manus, we saw the opportunity to redirected some tasks to make yet another alternative.
|
||
|
||
**Q: How is it better than manus ?**
|
||
|
||
It's not but we prioritizes local execution and privacy over cloud based approach. It’s a fun, accessible alternative!
|
||
|
||
## Contribute
|
||
|
||
We’re looking for developers to improve AgenticSeek! Check out open issues or discussion.
|
||
|
||
## Authors:
|
||
> [Fosowl](https://github.com/Fosowl)
|
||
> [steveh8758](https://github.com/steveh8758)
|