Agenticseek
Fully Local Manus AI. No APIs, No $200 monthly bills. Enjoy an autonomous agent that thinks, browses the web, and code for the sole cost of electricity. 🔔 Official updates only via twitter @Martin993886460 (Beware of fake account)
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What is Agenticseek?
AgenticSeek is a 100% private, fully local AI assistant that serves as an open-source alternative to Manus AI. It runs entirely on your device without cloud dependency, keeping all files, conversations, and searches completely private. The voice-enabled assistant autonomously browses the web, writes and debugs code, and plans complex tasks using multiple specialized AI agents.
Key features include autonomous web browsing (search, read, extract information, fill web forms hands-free), code generation and execution in Python/C/Go/Java, smart agent selection that automatically picks the best AI for each task, complex task planning that breaks big projects into manageable steps, and a futuristic voice interface with speech-to-text for natural interaction. The tool uses local language models like DeepSeek R1, Magistral, or Qwen through Ollama or LM Studio.
AgenticSeek is ideal for developers, privacy-conscious users, researchers, and anyone tired of paying $200/month for cloud AI agents. It's perfect for tech-savvy users seeking powerful offline AI without subscription fees, those requiring high data security, hobbyists experimenting with autonomous agents, and anyone who wants complete control over their AI infrastructure.
Agenticseek pricing
Pricing model: Freemium
Completely free and open-source with no paid plans. The only cost is electricity to run your hardware. No API costs, no monthly subscriptions, no recurring fees. Works with free local LLMs through Ollama or LM Studio. Optional API keys for cloud providers (OpenAI, DeepSeek, Google, TogetherAI, Hugging Face) are entirely optional and only needed if you lack sufficient hardware to run models locally.
Agenticseek pros
- 100% local execution with zero cloud dependency
- Complete privacy - no data ever leaves your device
- No monthly subscription fees - only electricity cost
- Eliminates $200/month Manus AI bills
- Open-source with active contributor community
- Autonomous web browsing without human intervention
- Code generation in Python, C, Go, and Java
- Smart agent selection automatically picks best AI for task
- Voice-enabled interface with speech-to-text
- Works with local LLMs like DeepSeek R1 and Magistral
- Compatible with Ollama, LM Studio, and local OpenAI APIs
- Multi-agent task planning for complex projects
- No API costs or rate limits
- Cross-platform support on Linux, macOS, and Windows
- Session recovery and saving capabilities
Agenticseek cons
- Requires GPU capable of running 14B+ parameter models
- Voice-to-text currently only works in English
- Speech-to-text disabled by default and experimental
- CLI-only for speech-to-text functionality, not web interface
- Early prototype with no formal roadmap
- Zero funding - maintained as side project by volunteers
- Agent routing may not always select correct agent
- Form filling capabilities still experimental and may fail
- Requires Python 3.10.x specifically or dependency errors occur
- ChromeDriver version mismatches cause browser errors
Frequently asked questions about Agenticseek
What is AgenticSeek?
AgenticSeek is a fully local, privacy-first AI assistant that can autonomously browse the web, write code, plan tasks, and interact via voice—all without sending data to the cloud. It is a 100% local alternative to Manus AI that runs entirely on your hardware.
Is AgenticSeek open-source?
Absolutely. The project is open-source on GitHub and welcomes contributors to help improve and extend its capabilities. It was created by Fosowl along with two friends as maintainers and the open-source community.
What platforms does AgenticSeek support?
AgenticSeek works on Linux, macOS, and Windows (including WSL). It requires Python 3.10.x and compatible local AI models through Ollama, LM Studio, or other local providers.
What hardware do I need to run AgenticSeek?
For 7B models you need 8GB VRAM (not recommended - poor performance). For 14B models you need 12GB VRAM like RTX 3060 (usable for simple tasks). For 32B models you need 24+ GB VRAM like RTX 4090 (success with most tasks). For 70B+ models you need 48+ GB VRAM (excellent for advanced use cases).
Can AgenticSeek really run 100% locally?
Yes. With Ollama, LM Studio, or server providers, all speech-to-text, LLM, and text-to-speech models run locally. Non-local options like OpenAI or other APIs are completely optional.
Why should I use AgenticSeek instead of Manus?
Unlike Manus, AgenticSeek prioritizes independence from external systems, giving you more control, complete privacy, and avoiding API costs. You eliminate the $200 monthly Manus AI bill by running everything locally on your machine.
What programming languages can AgenticSeek code in?
AgenticSeek supports writing, debugging, and running code in Python, C, Go, Java, and more—all locally without supervision or external dependencies.
How do I set up AgenticSeek?
Clone the GitHub repository, install Python 3.10.x, Docker Engine with Docker Compose V2, then run git clone, cd into the directory, move .env.example to .env, update the .env file with your paths, start Docker, and run ./start_services.sh full (MacOS) or start_services.cmd full (Windows). Then access http://localhost:3000.
What local LLM providers are supported?
Local providers include ollama (run LLMs locally with ease), lm-studio (run LLMs locally with LM Studio), and openai for local OpenAI-compatible servers like llama.cpp. Recommended models are DeepSeek R1 and Magistral for reasoning tasks.
Who is behind the AgenticSeek project?
The project was created by Fosowl (Martin) along with two friends who serve as maintainers (antoineVIVIES from Taipei Time) and contributors from the open-source community on GitHub. They are passionate individuals, not a startup or affiliated with any organization.