What is FAIM?

FAIM (Fully Autonomous Intelligence Memory) is a deterministic, self-hostable memory, retrieval, and answer engine. It is not an LLM. It is not a vector database wrapper. It is a complete memory operating system built on pure mathematics.

The Core Idea

You upload documents. FAIM extracts every block of content, encodes it into a 256-dimensional deterministic vector using pure math (no neural network), connects blocks into a typed knowledge graph, and stores everything with SHA-256 fingerprints. When you query, FAIM retrieves the most relevant nodes, re-ranks them through 7 scoring components, and gives you citation-first answers — no external ML service required.

Key Properties

  • Zero ML:No neural network in the core memory or retrieval path
  • Deterministic:Same input always produces the same output, forever
  • Self-hostable:Runs entirely on your infrastructure, no cloud dependency
  • Auditable:Every node has a SHA-256 fingerprint + full provenance chain
  • Graph-native:Opposition, inheritance, and semantic edges built-in from day one

What FAIM Is Not

Not an LLM

FAIM does not generate text. It retrieves, ranks, and grounds answers in your own documents.

Not a vector DB

A vector DB stores embeddings. FAIM also builds a knowledge graph, applies memory tiers, and re-ranks with 7 scoring components.

Not a RAG wrapper

RAG wraps an LLM with retrieval. FAIM replaces the LLM dependency entirely — it can work without any language model.