No cloud dependency by default (Ollama/local models first) Immutable ethical rules enforced at runtime (truthfulness, harm prevention, consent, audit logging) Zero-trust execution (Docker sandboxing, network isolation, timeouts) Continual learning without catastrophic forgetting (replay buffers + DSPy-style optimization)
Current capabilities:
Multi-modal (video gen via Wan 2.2, voice, vision, IoT) Multi-agent role delegation Optional Grok API for humor/large-context reasoning Visual builder & dashboard Built-in Docker helper agent
Early stage (v0.1.0), MIT-licensed: https://github.com/BleuRadience/BleuNova-AI-Agent Curious what the HN crowd thinks:
How robust is the ethics enforcement in practice? What self-hosted agent pitfalls have you hit that I should address? Any must-have integrations or tools for this kind of system?
Appreciate any feedback, PRs, or forks. Thanks, Cassandra (@BleuRadience) – Houston