AI/TLDR

AgenticSeek

Private, fully local AI assistant that browses, codes, and plans on your own hardware

Assistants & ChatbotsOpen source
Language
Python
License
GPL-3.0
$git clone https://github.com/Fosowl/agenticSeek.git

Overview

AgenticSeek is an open-source, voice-enabled AI assistant built to run entirely on your own machine. It positions itself as a private, local alternative to Manus AI: it can browse the web, write and run code, and break large tasks into steps without sending your files, conversations, or searches to any cloud service.

The project is designed around local reasoning models such as Deepseek, Magistral, or Qwen running through providers like Ollama or LM Studio, so you can keep everything on your hardware. If your machine is not powerful enough, it can also connect to API providers such as OpenAI, Google Gemini, Deepseek, or TogetherAI instead.

AgenticSeek picks the best agent for each request automatically. You describe what you want, and it routes the job to the right specialist agent, whether that means searching and reading the web, writing code, or planning and coordinating a multi-step task across several agents.

What it does

  • Fully local and private: everything runs on your machine with no cloud dependency or data sharing
  • Autonomous web browsing that can search, read pages, extract information, and fill in web forms hands-free
  • Autonomous coding assistant that can write, debug, and run programs in Python, C, Go, Java, and more
  • Smart agent selection that automatically chooses the best agent for each task you ask
  • Plans and executes complex tasks by splitting big goals into steps across multiple AI agents
  • Voice-enabled interaction with text-to-speech and speech-to-text (in progress)

Getting started

AgenticSeek runs fully in Docker by default and ships with a web interface. You need Git, Python 3.10.x, and Docker Engine with Docker Compose installed before you start.

Clone the repository and create your env file

Clone the project, enter the directory, and copy the example environment file so you can edit it.

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

Configure your local provider in config.ini

Edit config.ini to point AgenticSeek at a local provider and a model your hardware can run. A reasoning model such as Deepseek is recommended. API keys are optional when running locally.

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

Start your local model provider

Export the provider listen address and start your provider. This example uses Ollama; make sure your model is available before launching AgenticSeek.

shsh
export OLLAMA_HOST=0.0.0.0:11434
ollama serve

Start the services and open the web interface

Launch all Docker services (searxng, redis, frontend, and backend). The first run can take up to 30 minutes to download images, so wait until the backend is healthy, then open the web interface.

shsh
./start_services.sh full  # macOS / Linux
start start_services.cmd full  # Windows
# then open http://localhost:3000/

Commands and code are distilled from the project's own documentation — always check the official repo for the latest.

When to use it

  • Run a private AI assistant that browses, codes, and plans entirely offline so sensitive files and conversations never leave your machine
  • Automate web research tasks such as searching, reading pages, and extracting or filling in information hands-free
  • Generate, debug, and run code in languages like Python, C, Go, and Java without supervision
  • Break a large multi-step project into smaller tasks and let multiple coordinated agents work through them

How AgenticSeek compares

AgenticSeek alongside other open-source assistants & chatbots tools AI/TLDR tracks, ranked by GitHub stars.

ToolStarsWhat it does
OpenClaw★ 390kOpenClaw is a self-hosted personal AI assistant that answers you on WhatsApp, Telegram, Slack, Discord, and many other channels, with voice and a live visual canvas.
Hermes Agent★ 246kA self-improving personal AI agent from Nous Research that builds skills from experience, remembers across sessions, and reaches you on Telegram, Discord, Slack, and more.
Odysseus★ 87.3kA self-hosted AI workspace that puts chat, agents, deep research, documents, email, notes, tasks and calendar behind one Docker Compose stack, over local or API models.
CowAgent★ 47kA self-hosted assistant that plans and executes tasks with built-in file, terminal, browser and search tools, and answers across a web console plus a dozen messaging platforms.
AstrBot★ 40.6kAn all-in-one agent chatbot platform that puts LLM conversations, tools, knowledge bases and a plugin marketplace inside messaging apps like Telegram, Slack, Discord, QQ and Feishu.
OpenHuman★ 39.8kA local-first desktop personal AI for macOS, Windows and Linux that keeps a compressed memory tree on your machine and orchestrates checkpointed research and automation workflows.
MindsHub★ 39.7kAn agent workspace for knowledge work and software development that runs swappable open-source agent harnesses against your choice of frontier or open models.
AgenticSeek★ 27.2kPrivate, fully local AI assistant that browses, codes, and plans on your own hardware