Aurum Recall

AI-native memory you and your agent can actually read — and navigate.

Two layers, one system:

1. The Store — sovereign, human-readable, self-curating memory: typed Markdown files + an always-in-context index + [[links]] + trust-decay. A library and an MCP server.
2. The Lattice (ContextQR) — a visual routing layer over that store: color-coded context tiles, trust borders, and a real scannable root QR. Route before you retrieve.

_{An 8×8 memory layer — 64 crystallized context tiles (color = type · border = trust · 🔒 = private · faded = stale) · and the real scannable root QR}

The store is where memory lives. The lattice is how an agent flies through it — narrowing to the right branch, respecting privacy and freshness, and pulling only what it needs, before spending tokens on retrieval.

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Why

Vector-DB memory is opaque, unownable, and un-auditable — and RAG retrieves text first, with no cheap way to route. Aurum Recall inverts both:

Vector RAG:   Question → embedding search → maybe-relevant chunks → answer
Aurum Recall: Question → route the lattice → narrow the branch → search inside it → verify → answer

You get lower token use, real privacy boundaries, first-class trust/freshness/provenance, and a memory that is your files, in the open, on your terms.

Context windows do not expire. They crystallize into recursive memory tiles. When an agent's context fills, it compresses into a tile; 64 tiles seal into an 8×8 layer; layers hash-chain (Merkle) and recurse. The architecture: CONCEPT.md.

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The Store

• One durable fact per file, typed (user / feedback / project / reference), with a one-line hook. MEMORY.md is the always-loaded index — the working set. Full format: SPEC.md.
• Zero-dependency core: recall / remember / update / forget / link / compact. Trust decays with age.
• MCP server — one config line and any MCP agent (Claude Desktop, Claude Code) gets durable, inspectable memory. See QUICKSTART.md.

npm install && npm run build && npm test

The Lattice (ContextQR)

Build a routable visual lattice from a real memory store, render it, and mint the root QR:

node dist/lattice/cli.js from-store <memory-dir>            --out lattice.json
node dist/lattice/cli.js validate  lattice.json
node dist/lattice/cli.js render    lattice.json            --out map.svg
node dist/lattice/cli.js qr        lattice.json            --out root_qr.png
node dist/lattice/cli.js subtree   lattice.json ctx_type_project --out projects.svg
node dist/lattice/cli.js inspect   lattice.json ctx_type_project

Color = context type · border = trust level · brightness = freshness · marker = machine-readable pointer. Only the root is a literal scannable QR; deeper tiles are recursive routers, not nested pixels.

The moat isn't QR codes — it's the combination: visual context routing + context crystallization + recursive 8×8 layers + trust/freshness/privacy metadata + hash-verifiable provenance + agent navigation before retrieval.

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Open core

Public (the credibility layer, this repo): the memory store + MCP server + lens, and the lattice — schema, validator, SVG renderer, root QR, CLI, the store→lattice importer, and the concept paper.

Private (the commercial layer, not built in public): the production routing engine, memory & compression heuristics, trust/freshness/privacy scoring logic, persistence, cloud service, and product integrations (Nomad, the AgentX-Ray "Context Navigation" benchmark).

Apache-2.0 · Aurum Nebula LLC · SPEC.md · CONCEPT.md · BUILD_PLAN.md