Manus
General purpose AI agent for automating complex tasks
AgenticSeek
Fully local AI assistant that browses, codes, and plans
AgenticSeek is a privacy‑first, voice‑enabled AI assistant that runs entirely on your hardware, autonomously browsing the web, writing code, and managing complex tasks without any cloud dependency.
Overview
Overview
AgenticSeek targets developers, researchers, and privacy‑conscious hobbyists who want an AI assistant that runs entirely on their own hardware. By leveraging local large language models such as Magistral or Deepseek, the system eliminates any cloud dependency, ensuring that conversations, files, and web searches never leave the device.
The assistant can autonomously browse the internet, extract information, fill web forms, and summarize results. It also acts as a multi‑language coding companion, capable of generating, debugging, and executing code in Python, Go, Java, and more. A built‑in planner breaks complex projects into steps and dispatches specialized agents, while experimental voice input and output let users interact hands‑free.
Deployment requires Git, Python 3.10, Docker Engine & Compose, and a compatible GPU for the chosen LLM. After cloning the repository, configuring the .env and config.ini files, and starting the Docker services, AgenticSeek is ready to run locally. Optional API keys can be supplied for external models, but the primary workflow remains fully offline.
Highlights
Fully local execution ensures zero data leakage
Autonomous web browsing with form filling and information extraction
Multi‑language coding assistant that writes, debugs, and runs code
Voice interaction (speech‑to‑text and optional text‑to‑speech) for hands‑free use
Pros
- Complete privacy; all data stays on device
- No subscription fees; runs on free open‑source stack
- Extensible via multiple local LLM providers (Ollama, LM‑Studio, etc.)
- Capable of orchestrating multiple AI agents for complex workflows
Considerations
- Requires GPU capable of 14B model for optimal performance
- Voice features are still experimental
- No formal roadmap or dedicated support
- Initial setup involves Docker, environment configuration, and model selection
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Fit guide
Great for
- Developers needing an on‑premise coding assistant
- Researchers concerned about data confidentiality
- Hobbyists who want a voice‑controlled AI without cloud costs
- Teams experimenting with autonomous agent orchestration
Not ideal when
- Users without compatible GPU or sufficient RAM
- Organizations requiring enterprise‑grade SLA or support
- Scenarios demanding real‑time high‑throughput inference on large models
- Those preferring a turnkey SaaS solution with managed updates
How teams use it
Local code generation and debugging
Generate, test, and iterate Python or Go snippets directly on your machine without exposing source code.
Hands‑free web research
Ask the assistant to search, read, and summarize web pages, filling forms automatically while you focus on other tasks.
Complex project planning
Break down multi‑step projects into actionable tasks, assign appropriate agents, and track progress locally.
Voice‑driven personal assistant
Interact via speech to schedule meetings, retrieve files, or control the AI, keeping all interactions private.
Tech snapshot
Python81%
JavaScript8%
CSS6%
Shell4%
Batchfile1%
HTML1%
Frequently asked questions
What hardware is needed to run AgenticSeek locally?
A GPU capable of running 14B‑parameter models such as Magistral, Qwen, or Deepseek is recommended; otherwise you can use remote API providers.
Can I use cloud LLM APIs instead of a local model?
Yes, optional API keys can be set in the .env file to connect to services like OpenAI or Anthropic, though the primary design is for offline local models.
How does the voice feature work and is it stable?
Voice input uses speech‑to‑text and optional text‑to‑speech modules; the feature is marked as experimental and may require additional configuration.
Is my data ever sent to external services?
When running with local models and without providing API keys, all data remains on your device and is never transmitted externally.
How do I add new agents or extend functionality?
Agents are selected automatically based on the task; you can customize behavior by editing the config.ini and adding new scripts or plugins to the repository.
Project at a glance
Active- Stars
- 24,466
- Watchers
- 24,466
- Forks
- 2,710
LicenseGPL-3.0
Repo age11 months old
Last commit2 months ago
Primary languagePython
Last synced 2 days ago