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agenticSeek

Fosowl/agenticSeek

Autonomous agent for local AI tasks, web browsing, and coding

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

170views this month

27k stars3.0k forksLast push Sep 13, 2026 Python GPL-3.0

Decision brief

agenticSeek is a fully local AI agent that operates autonomously, capable of web browsing and coding without relying on external APIs or high-cost subscriptions.

Good fit when

  • Use agenticSeek when you need a fully local AI agent that can perform autonomous tasks, web browsing, and coding without the need for external APIs or high-cost subscriptions.
  • Consider agenticSeek if your use case requires complete data privacy and you do not want to rely on cloud services or external APIs.

Avoid when

  • Avoid using agenticSeek if your hardware cannot support running LLMs locally, as it does not provide an option to use external APIs for LLM services.
  • Do not use agenticSeek if you require stealth mode for web browsing, as the Docker volume mount approach may not work with `undetected_chromedriver`.
Pricing:
freemium - agenticSeek is free to use, but users must cover the cost of running the software on their local hardware.

Observed Sep 18, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (4d since push)
As of Sep 18, 2026
Provenance
Not a fork · Personal account
As of Sep 18, 2026
Security (OSV)
206 low (206 low)
As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install agenticSeek
PyPI

How it fits your stack(10)

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Evidence and technical details

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Overview

Fosowl/agenticSeek is a fully local AI agent that operates autonomously, capable of web browsing and coding, without reliance on external APIs or high-cost subscriptions.

Capability facts

Deploy
Self-host

Source: dockerfile:docker-compose.yml · Sep 18, 2026

Docker
Dockerfile present

Source: dockerfile:docker-compose.yml · Sep 18, 2026

Languages
python

Source: github.language+pyproject.toml · Sep 18, 2026

Categories

Tags

README

3. Start Docker Make sure Docker is installed and running on your system. You can start Docker using the following commands: On Linux/macOS: Open a terminal and run: Or launch Docker Desktop from your applications menu if installed. On Windows: Start Docker Desktop from the Start...

For agents

This page has a .md twin and JSON over the API.

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