English | [中文](./README_CHS.md) | [繁體中文](./README_CHT.md) | [Français](./README_FR.md) | [日本語](./README_JP.md) | [Português (Brasil)](./README_PTBR.md) | [Español](./README_ES.md) | [Türkçe](./README_TR.md) *A **100% local alternative to Manus AI**, this voice-enabled AI assistant autonomously browses the web, writes code, and plans tasks while keeping all data on your device. Tailored for local reasoning models, it runs entirely on your hardware, ensuring complete privacy and zero cloud dependency.* ### Why AgenticSeek ? * 🔒 Fully Local & Private - Everything runs on your machine — no cloud, no data sharing. Your files, conversations, and searches stay private. * 🌐 Smart Web Browsing - AgenticSeek can browse the internet by itself — search, read, extract info, fill web form — all hands-free. * 💻 Autonomous Coding Assistant - Need code? It can write, debug, and run programs in Python, C, Go, Java, and more — all without supervision. * 🧠 Smart Agent Selection - You ask, it figures out the best agent for the job automatically. Like having a team of experts ready to help. * 📋 Plans & Executes Complex Tasks - From trip planning to complex projects — it can split big tasks into steps and get things done using multiple AI agents. * 🎙️ Voice-Enabled - Clean, fast, futuristic voice and speech to text allowing you to talk to it like it's your personal AI from a sci-fi movie. (In progress) ### **Demo** > *Can you search for the agenticSeek project, learn what skills are required, then open the CV_candidates.zip and then tell me which match best the project* https://github.com/user-attachments/assets/b8ca60e9-7b3b-4533-840e-08f9ac426316 Disclaimer: This demo, including all the files that appear (e.g: CV_candidates.zip), are entirely fictional. We are not a corporation, we seek open-source contributors not candidates. > 🙏 This project started as a side-project and has zero roadmap and zero funding. It's grown way beyond what I expected by ending in GitHub Trending. Contributions, feedback, and patience are deeply appreciated. ## Prerequisites Before you begin, ensure you have the following software installed: * **Git:** For cloning the repository. [Download Git](https://git-scm.com/downloads) * **Python 3.10.x:** We strongly recommend using Python version 3.10.x. Using other versions might lead to dependency errors. [Download Python 3.10](https://www.python.org/downloads/release/python-3100/) (pick a 3.10.x version). * **Docker Engine & Docker Compose:** For running bundled services like SearxNG. * Install Docker Desktop (which includes Docker Compose V2): [Windows](https://docs.docker.com/desktop/install/windows-install/) | [Mac](https://docs.docker.com/desktop/install/mac-install/) | [Linux](https://docs.docker.com/desktop/install/linux-install/) * Alternatively, install Docker Engine and Docker Compose separately on Linux: [Docker Engine](https://docs.docker.com/engine/install/) | [Docker Compose](https://docs.docker.com/compose/install/) (ensure you install Compose V2, e.g., `sudo apt-get install docker-compose-plugin`). ### 1. **Clone the repository and setup** ```sh git clone https://github.com/Fosowl/agenticSeek.git cd agenticSeek mv .env.example .env ``` ### 2. Change the .env file content ```sh SEARXNG_BASE_URL="http://searxng:8080" # value depends on where the backend runs — see the SEARXNG note below SEARXNG_PORT=8080 REDIS_BASE_URL="redis://redis:6379/0" WORK_DIR="/Users/mlg/Documents/workspace_for_ai" OLLAMA_PORT="11434" LM_STUDIO_PORT="1234" CUSTOM_ADDITIONAL_LLM_PORT="11435" OPENAI_API_KEY='optional' DEEPSEEK_API_KEY='optional' OPENROUTER_API_KEY='optional' TOGETHER_API_KEY='optional' GOOGLE_API_KEY='optional' ANTHROPIC_API_KEY='optional' ``` Update the `.env` file with your own values as nee ``` --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/tools/fosowl-agenticseek`](/api/graphcanon/tools/fosowl-agenticseek) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_