AVK.1 Agentic Brain
AVK.1 is a decentralized agentic system that ensembles Kimi-K2.6 and Qwen3.6-27B into a unified, high-performance intelligence. It is designed to learn and synthesize information in real-time from four major knowledge vectors:
- Wikipedia: For factual and historical summaries.
- YouTube: For deep-dives into video content and transcripts.
- GitHub: For technical research and code analysis.
- Twitter: For real-time news, sentiment, and trends.
Architecture
AVK.1 operates using a Collaborative Ensemble strategy:
- Planner (Qwen): Analyzes user requests, identifies knowledge gaps, and selects appropriate tools.
- Synthesizer (Kimi): Aggregates tool outputs and the planner's insights to generate a premium, professional response.
Usage
This model is designed to be deployed as a Hugging Face Inference Endpoint.
Local Setup
- Clone this repository.
- Install dependencies:
pip install -r requirements.txt.
- Set your
HF_TOKEN environment variable.
- Run
python brain.py.
Capabilities
- Multi-source RAG (Retrieval Augmented Generation).
- Agentic tool orchestration.
- Real-time data ingestion.
