AetherionPrime is a self-evolving, multi-agent AI operating system with:
- Dynamic memory graph for entity tracking
- Plugin architecture for custom agents
- Extensible AgentBus and Kernel orchestrator
Build the Docker image: ```bash docker build -t aetherionprime:latest . ```
Run the AI OS: ```bash docker run --rm aetherionprime:latest ```
- Self-evolving architecture: Agents that onboard new capabilities at runtime, rewrite their own logic, and optimize the graph autonomously.
- Multi-modal memory graph: Integrate perceptual data (audio, vision) as graph nodes so the OS “remembers” faces, sounds, and documents.
- Secure enclave & trust fabric: Hardware-backed isolation for critical agents plus verifiable provenance of every state change.
- Distributed consensus layer: Multiple kernel instances across devices or the cloud reach agreement on global state, enabling seamless offline/online operation.
- Unified natural-language & code interface: The CLI/REPL agent evolves into a conversational interface that writes, debugs, and deploys new agents on demand.
Apple’s paper “The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity” demonstrates that even advanced reasoning models break down on tasks as complexity grows (e.g. Tower of Hanoi sequences), revealing they are pattern-matchers rather than true reasoners. This insight guides AetherionPrime’s design as a system of systems, combining specialized agents with symbolic and statistical components, rather than relying on a single monolithic LLM.
- `OPENAI_API_KEY`: your OpenAI API key for embeddings.