Lightweight offline AI agent for local models. No cloud, no API keys — just your GPU.
Open-source AI agent optimized for small local models (7-9B parameters). Chat via terminal, browser, or Telegram — with tools, semantic memory, scheduled tasks, and customizable personality. Optimized for Qwen 3.5 9B on a consumer GPU (8GB VRAM). Architecture, prompts, and tool system built for small model constraints. Philosophy: make the system around the model smarter (retry loops, JSON repair, self-checks, consensus). Works offline, no API keys, no subscriptions. MIT license.
For university students, Qwe-Qwe enables offline summarization of research papers. Example: A student can feed a PDF of a complex scientific paper into Qwe-Qwe and receive a concise summary, saving hours of reading time.
For solopreneurs, Qwe-Qwe enables the creation of project documentation from code. Example: A freelance developer can use Qwe-Qwe to analyze their codebase and automatically generate README files and API documentation, improving project clarity.
For developers, Qwe-Qwe enables the creation of custom AI tools using local models. Example: A developer can use Qwe-Qwe's skill creation feature to build a specialized chatbot for customer support that runs entirely on their local machine, ensuring data privacy.
For researchers, Qwe-Qwe enables private data analysis using Retrieval-Augmented Generation (RAG). Example: A researcher can upload sensitive local datasets to Qwe-Qwe and query them using natural language, receiving insights without sending data to the cloud.
For content writers, Qwe-Qwe enables drafting blog posts using an offline AI agent. Example: A writer can use Qwe-Qwe to generate initial drafts for articles based on provided prompts, ensuring all work remains private and secure on their computer.
Yes, Qwe-Qwe is an open-source project released under the MIT license, making it free to use. There are no subscription fees or costs associated with using the software itself.
Qwe-Qwe is free to use as it is open-source. The primary costs would be related to the hardware required to run it, such as a gaming PC with a suitable GPU, and the electricity to power it.
Yes, Qwe-Qwe offers a web UI that can be accessed by running the command `qwe-qwe --web`. This interface allows you to chat with the AI through your browser.
You can install Qwe-Qwe with a single command: `curl -fsSL https://raw.githubusercontent.com/deepfounder-ai/qwe-qwe/main/install.sh | bash`. Alternatively, you can clone the repository and run a setup script.
Alternatives to Qwe-Qwe often depend on your specific needs. For local AI agents, projects like Ollama or LM Studio offer ways to run models locally, though Qwe-Qwe integrates these with a more complete agent framework.
Qwe-Qwe is designed to run 100% offline on your computer, meaning your data does not leave your machine. This inherent privacy makes it GDPR-compliant by default, as no personal data is transmitted to external servers.
While Qwe-Qwe does not have a dedicated mobile app, it can be accessed via a Telegram bot. This allows you to interact with your local AI agent from your mobile device.
We're still verifying the official pricing for Qwe-Qwe. In the meantime, the most up-to-date plans and prices are available directly on the publisher's website.
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