A.R.C.H.O.N.

Active — private R&D

A multi-agent orchestration system: a supervising agent coordinates bounded, single-function “Nano-AI” processes under hard safety limits. The goal was never another chatbot — it’s a system that reasons, checks itself, and doesn’t hallucinate its way past a wrong answer.

• Nano-AI Safety Architecture — a supervising agent delegates bounded, single-function, non-agentic narrow processes that each perform one deterministic task and connect only to explicitly wired data sources.
• Evaluation Harness — a deterministic evaluation harness that grades agent-loop directives against fixed test cases: deterministic assertions plus an LLM-judged quality score.
• Observability & Permission Gating — a live diagnostic panel exposing real-time node state and inter-agent messages, paired with a hard permission gate requiring explicit human sign-off before any autonomous code-writing or state-changing action.
• Memory & Knowledge Architecture — a multi-layer memory system: working buffer (short-term), persistent memory (long-term, confidence-weighted RAG), and immutable historical memory (append-only).

A.R.C.H.O.N. is private. PRISM is the public research vehicle for the same architecture.