-
Codex of Artificial Memory · MMXXVI
+Brain-inspired agent memory
CogniFold
- A brain-inspired, always-on agent memory that folds events into - self-emerging cognitive structure. + An always-on agent memory that folds events into self-emerging + cognitive structure, with proactive intent crystallization.
-- “The noblest pleasure is the joy of understanding.” -
+Apache-2.0 · Python · MCP-compatible
-
Plate I
-The Memory Brain
+Coverage map
+Memory systems
- A living atlas of human memory, drawn by hand. Each region maps to a memory system — - hover, tab, or tap to wake its neurons and read the field notes. + CogniFold maps twelve human memory systems onto its topology. Each brain region links to a + system — hover, tab, or tap to inspect its mechanism, evidence, and status.
-
+
- tempus — the fourth axis — threads through every layer
+Time is the fourth axis, threading through every layer.
-
Plate III
-The Results Ledger
-Measured on public benchmarks. No competitor figures invented; entries are CogniFold's own marks.
+Results
+Benchmarks
+CogniFold's measured results on public benchmarks. Figures are CogniFold's own; no competitor numbers are shown.
@@ -221,29 +205,29 @@
@@ -259,11 +243,6 @@
diff --git a/docs-site/js/app.js b/docs-site/js/app.js
index b691926..e3cff0c 100644
--- a/docs-site/js/app.js
+++ b/docs-site/js/app.js
@@ -1,4 +1,4 @@
-// app.js — data-driven entry point for the CogniFold codex.
+// app.js — data-driven entry point for the CogniFold site.
// Loads memory_coverage.json (single source of truth) and wires up: nav,
// scroll-reveal, the coverage ring, the interactive brain, the notebook
// cards + system index, the CLS architecture diagram, and the results ledger.
@@ -8,6 +8,9 @@
import { renderBrain } from "./brain.js";
const SVG_NS = "http://www.w3.org/2000/svg";
+// System font stacks for in-SVG text (no web fonts).
+const SANS = "-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif";
+const MONO = "ui-monospace, 'SF Mono', Menlo, Consolas, monospace";
const reduceMotion =
window.matchMedia &&
window.matchMedia("(prefers-reduced-motion: reduce)").matches;
@@ -308,14 +311,14 @@ function renderArchDiagram(rough) {
{ x: 825, y: 170, label: "INTENT", sub: "prefrontal", color: "#3f4f6b" },
];
- // sketchy arrows between nodes
+ // arrows between nodes
const arrow = (x1, y, x2, label) => {
const g = el("g", {});
- g.appendChild(rc.line(x1, y, x2, y, { stroke: "#2b2118", strokeWidth: 2, roughness: 2, bowing: 1.5 }));
- g.appendChild(rc.line(x2, y, x2 - 14, y - 8, { stroke: "#2b2118", strokeWidth: 2, roughness: 1.6 }));
- g.appendChild(rc.line(x2, y, x2 - 14, y + 8, { stroke: "#2b2118", strokeWidth: 2, roughness: 1.6 }));
- const t = el("text", { x: (x1 + x2) / 2, y: y - 18, "text-anchor": "middle",
- "font-family": "Caveat, cursive", "font-size": "22", fill: "#9c4a2f" });
+ g.appendChild(rc.line(x1, y, x2, y, { stroke: "#1d1d1f", strokeWidth: 1.6, roughness: 1, bowing: 0.8 }));
+ g.appendChild(rc.line(x2, y, x2 - 13, y - 7, { stroke: "#1d1d1f", strokeWidth: 1.6, roughness: 0.8 }));
+ g.appendChild(rc.line(x2, y, x2 - 13, y + 7, { stroke: "#1d1d1f", strokeWidth: 1.6, roughness: 0.8 }));
+ const t = el("text", { x: (x1 + x2) / 2, y: y - 16, "text-anchor": "middle",
+ "font-family": SANS, "font-size": "15", "font-weight": "500", fill: "#515154" });
t.textContent = label;
g.appendChild(t);
return g;
@@ -323,28 +326,28 @@ function renderArchDiagram(rough) {
svg.appendChild(arrow(255, 170, 415, "fold"));
svg.appendChild(arrow(580, 170, 745, "crystallize"));
- // feedback arc back (CONCEPT informs new EVENTs) — curved sketchy
+ // feedback arc back (CONCEPT informs new EVENTs)
svg.appendChild(rc.curve(
[[825, 235], [650, 320], [400, 320], [175, 235]],
- { stroke: "#6f7d55", strokeWidth: 1.6, roughness: 2.2, bowing: 2 }
+ { stroke: "#86868b", strokeWidth: 1.4, roughness: 1, bowing: 1 }
));
const fb = el("text", { x: 500, y: 340, "text-anchor": "middle",
- "font-family": "Caveat, cursive", "font-size": "20", fill: "#6f7d55" });
+ "font-family": SANS, "font-size": "14", fill: "#86868b" });
fb.textContent = "intent reshapes attention — the loop closes";
svg.appendChild(fb);
- // nodes (hand-drawn circles + hachure)
+ // nodes
nodes.forEach((n, i) => {
- const g = el("g", { filter: "url(#crayon)" });
+ const g = el("g", {});
g.appendChild(rc.circle(n.x, n.y, 130, {
- stroke: n.color, strokeWidth: 2.4, roughness: 1.8, bowing: 1.3,
- fill: n.color, fillStyle: "hachure", fillWeight: 1, hachureGap: 7,
+ stroke: n.color, strokeWidth: 2, roughness: 0.9, bowing: 0.8,
+ fill: n.color, fillStyle: "hachure", fillWeight: 0.8, hachureGap: 9,
}));
- const t1 = el("text", { x: n.x, y: n.y - 2, "text-anchor": "middle",
- "font-family": "Cormorant Garamond, serif", "font-weight": "700", "font-size": "30", fill: "#2b2118" });
+ const t1 = el("text", { x: n.x, y: n.y - 1, "text-anchor": "middle",
+ "font-family": SANS, "font-weight": "700", "font-size": "24", fill: "#1d1d1f" });
t1.textContent = n.label;
- const t2 = el("text", { x: n.x, y: n.y + 22, "text-anchor": "middle",
- "font-family": "IBM Plex Mono, monospace", "font-size": "11", fill: "#4a3b2b",
+ const t2 = el("text", { x: n.x, y: n.y + 20, "text-anchor": "middle",
+ "font-family": MONO, "font-size": "10", fill: "#515154",
"letter-spacing": "0.12em" });
t2.textContent = n.sub.toUpperCase();
svg.append(g, t1, t2);
@@ -353,11 +356,11 @@ function renderArchDiagram(rough) {
// TIME axis threading underneath
const timeY = 40;
svg.appendChild(rc.line(120, timeY, 880, timeY, {
- stroke: "#3f4f6b", strokeWidth: 1.2, roughness: 2.6, bowing: 1.5, strokeLineDash: [2, 8],
+ stroke: "#86868b", strokeWidth: 1, roughness: 1, bowing: 1, strokeLineDash: [2, 8],
}));
const tlabel = el("text", { x: 500, y: timeY - 12, "text-anchor": "middle",
- "font-family": "Caveat, cursive", "font-size": "22", fill: "#3f4f6b" });
- tlabel.textContent = "TIME — the fourth axis";
+ "font-family": MONO, "font-size": "11", "letter-spacing": "0.1em", fill: "#86868b" });
+ tlabel.textContent = "TIME · the fourth axis";
svg.appendChild(tlabel);
// tick marks down to each node
nodes.forEach((n) => {
@@ -401,7 +404,7 @@ function renderBrainFallback(host, data) {
wrap.setAttribute("role", "list");
wrap.setAttribute("aria-label", "Memory systems mapped to brain regions");
wrap.innerHTML =
- `The Results Ledger
-
Plate IV
-A Recipe for Memory
-Install, serve, and connect over MCP. Three steps to an agent that remembers.
+Quickstart
+Get started
+Install, run the server, and connect any MCP-capable agent.
-
recipe · in vitro
- # 1 · install
+ shell
+ # install
pip install cognifold
-# 2 · run the memory server
+# run the memory server
cognifold serve --port 8800
-# 3 · connect any MCP-capable agent
+# connect any MCP-capable agent
cognifold mcp --transport stdio
A Recipe for Memory
arXiv:2605.13438 · OpenNorve / CogniFold -interactive sketch unavailable — the atlas, in plain ink:
` + + `Interactive diagram unavailable. Memory systems:
` + data.systems .map( (s) => `
@@ -428,8 +431,8 @@ function renderHardFallback() {
const host = document.getElementById("brainHost");
if (host) {
host.innerHTML =
- ``;
}
}
diff --git a/docs-site/js/brain.js b/docs-site/js/brain.js
index e682b20..984a18e 100644
--- a/docs-site/js/brain.js
+++ b/docs-site/js/brain.js
@@ -27,8 +27,8 @@ const reduceMotion =
window.matchMedia("(prefers-reduced-motion: reduce)").matches;
// --- Region geometry (lateral view, hand-tuned) -------------------------
-// Each region: closed polygon (for rough fill), a label anchor, the systems
-// it hosts, and whether the label is rendered as mirror-writing (easter egg).
+// Each region: closed polygon (for rough fill), a label anchor, and the
+// memory systems it hosts.
const REGIONS = [
{
id: "prefrontal",
@@ -42,7 +42,6 @@ const REGIONS = [
label: "neocortex",
systems: ["semantic", "priming"],
labelAt: [430, 95],
- mirror: true,
poly: [[235, 150], [300, 110], [400, 95], [500, 110], [560, 160], [520, 215], [420, 215], [320, 210], [250, 190]],
},
{
@@ -71,7 +70,6 @@ const REGIONS = [
label: "cerebellum",
systems: ["procedural"],
labelAt: [600, 380],
- mirror: true,
poly: [[540, 320], [620, 310], [675, 350], [675, 420], [610, 450], [545, 420], [525, 365]],
},
{
@@ -279,16 +277,7 @@ export function renderBrain(host, data, onSelect, rough) {
// label
const [lx, ly] = reg.labelAt;
const label = el("text", { class: "region__label", x: lx, y: ly, "text-anchor": "middle" });
- if (reg.mirror) {
- label.setAttribute("class", "region__label region__mirror");
- label.setAttribute("transform", `translate(${2 * lx} 0) scale(-1 1)`);
- label.textContent = reg.label;
- const t = el("title");
- t.textContent = `${reg.label} (mirror-writing, as Leonardo wrote)`;
- label.appendChild(t);
- } else {
- label.textContent = reg.label;
- }
+ label.textContent = reg.label;
g.appendChild(label);
regionEls.set(reg.id, { g, status, systems: reg.systems });
` + - `The memory atlas could not be loaded right now. CogniFold models roughly 60% of ` + + `
` + + `Coverage data could not be loaded. CogniFold models roughly 60% of ` + `human memory systems — see the architecture and results below.