Beaglemind Project Roadmap

Current Status

• Deployed Platform: Frontend (mind.beagleboard.org), API (api.beagleboard.org)
• CLI Tool: For local assistant usage
• Core Features: Tool calling, RAG-based information retrieval
• Provider Support: OpenAI, OpenRouter, Groq, Ollama (extensible)

Key Pain Points & Focus Areas

1. Core Engine

Priority Issues:

• TIDL compatibility with transformer models (BeagleBone AI-64/BeagleY-AI acceleration)
• Multi-source data integration: docs, forums, Discord → unified QA dataset
• Explore SFT as RAG alternative → develop fine-tuned Beaglemind model

2. CLI Tool

• Improve tool calling consistency (especially Ollama)
• Achieve 100% offline capability
• Enhanced provider performance

3. Platform

• Add onboarding tools (e.g., wizard feature)
• Implement account/chat history management

Roadmap

Objective 1: Core Engine Foundation

• Maintain the current version of BeagleMind (both CLI and Website)
• Research TIDL-Transformer compatibility solutions
• Merge/document multi-source data into QA dataset
• Begin SFT pipeline development for custom model fine-tuning

Objective 2: Model Integration & Platform

• Evaluate/iterate on fine-tuned model
• Explore quantization/ONNX Runtime for deployment
• Integrate model into CLI & platform
• Implement basic auth/conversation storage (local/cloud)

Objective 3: Enhancement & Maintenance

• Add advanced platform tools for contributor onboarding
• Ensure CLI offline functionality
• Ongoing maintenance, issue resolution, and community support