agenticSeek

A open, local Manus AI alternative. Powered with Deepseek R1. No APIs, no $456 monthly bills. Enjoy an AI agent that reason, code, and browse with no worries.

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AgenticSeek is a voice-enabled AI assistant powered by DeepSeek R1 agents, offering a fully local alternative to cloud-based AI services. It allows users to interact with their filesystem, code in multiple languages, and perform various tasks autonomously. The tool is equipped with memory to remember user preferences and past conversations, and it can divide tasks among multiple agents for efficient execution. AgenticSeek prioritizes privacy by running entirely on the user's hardware without sending data to the cloud.

README:

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.

🛠️ Work in Progress – Looking for contributors!

Do a web search to find tech startup in Japan working on cutting edge AI research

Make a snake game in Python

Scan my network with nmap, find out who is connected?

Hey can you find where is contract.pdf?

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.

Searching the web with agenticSeek :

See media/examples for other use case screenshots.

Installation

Make sure you have chrome driver, docker and python3.10 (or newer) installed.

For issues related to chrome driver, see the Chromedriver section.

1️⃣ Clone the repository and setup

git clone https://github.com/Fosowl/agenticSeek.git
cd agenticSeek
mv .env.example .env

2️ Create a virtual env

python3 -m venv agentic_seek_env
source agentic_seek_env/bin/activate     
# On Windows: agentic_seek_env\Scripts\activate

3️⃣ Install package

Automatic Installation:

./install.sh

Manually:

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 installed.

Download the deepseek-r1:14b model from DeepSeek

ollama pull deepseek-r1:14b

2️ Run the Assistant (Ollama)

Start the ollama server

ollama serve

Change the config.ini file to set the provider_name to ollama and provider_model to deepseek-r1:14b

NOTE: deepseek-r1:14bis an example, use a bigger model if your hardware allow it.

[MAIN]
is_local = True
provider_name = ollama
provider_model = deepseek-r1:14b
provider_server_address = 127.0.0.1:11434

start all services :

sudo ./start_services.sh

Run the assistant:

python3 main.py

See the Usage section if you don't understand how to use it

See the Known issues section if you are having issues

See the Run with an API section if your hardware can't run deepseek locally

Usage

Warning: currently the system that choose the best AI agent routing system will work poorly with non-english text. This is because the agent routing currently use a model that was trained on english text. We are working hard to fix this. Please use english for now.

Make sure the services are up and running with ./start_services.sh and run the agenticSeek with python3 main.py

sudo ./start_services.sh
python3 main.py

You will be prompted with >>> This indicate agenticSeek await you type for instructions. You can also use speech to text by setting listen = True in the config.

Here are some example usage:

Coding/Bash

Help me with matrix multiplication in Golang

Scan my network with nmap, find if any suspicious devices is connected

Make a snake game in python

Web search

Do a web search to find cool tech startup in Japan working on cutting edge AI research

Can you find on the internet who created agenticSeek?

Can you find on which website I can buy a rtx 4090 for cheap

File system

Hey can you find where is million_dollars_contract.pdf i lost it

Show me how much space I have left on my disk

Find and read the README.md and follow the install instruction

Casual

Tell me a joke

Where is flight ABC777 ? my mom is on that plane

what is the meaning of life ?

After you type your query, agenticSeek will allocate the best agent for the task.

Because this is an early prototype, the agent routing system might not always allocate the right agent based on your query.

Therefore, you should be very explicit in what you want and how the AI might proceed for example if you want it to conduct a web search, do not say:

Do you know some good countries for solo-travel?

Instead, ask:

Do a web search and find out which are the best country for solo-travel

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

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/

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-r1:14b. Set the provider_server_address to the ip address of the machine that will run the model.

[MAIN]
is_local = False
provider_name = server
provider_model = deepseek-r1:14b
provider_server_address = x.x.x.x:5000

Run the assistant:

sudo ./start_services.sh
python3 main.py

Run with an API

Clone the repository.

Set the desired provider in the config.ini

[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:

sudo ./start_services.sh
python3 main.py

Speech to Text

The speech-to-text functionality is disabled by default. To enable it, set the listen option to True in the config.ini file:

listen = True

When enabled, the speech-to-text feature listens for a trigger keyword, which is the agent's name, before it begins processing your input. You can customize the agent's name by updating the agent_name value in the config.ini file:

agent_name = Friday

For optimal recognition, we recommend using a common English name like "John" or "Emma" as the agent name

Once you see the transcript start to appear, say the agent's name aloud to wake it up (e.g., "Friday").

Speak your query clearly.

End your request with a confirmation phrase to signal the system to proceed. Examples of confirmation phrases include:

"do it", "go ahead", "execute", "run", "start", "thanks", "would ya", "please", "okay?", "proceed", "continue", "go on", "do that", "go it", "do you understand?"

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 it's 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.

Known issues

Chromedriver Issues

Known error #1: chromedriver mismatch

Exception: Failed to initialize browser: Message: session not created: This version of ChromeDriver only supports Chrome version 113 Current browser version is 134.0.6998.89 with binary path

This happen if there is a mismatch between your browser and chromedriver version.

You need to navigate to download the latest version:

https://developer.chrome.com/docs/chromedriver/downloads

If you're using Chrome version 115 or newer go to:

https://googlechromelabs.github.io/chrome-for-testing/

And download the chromedriver version matching your OS.

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: 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 steveh8758

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