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Author SHA1 Message Date
Alexander Whitestone
9c3d9952d7 fix: closes #674
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2026-04-12 12:26:17 -04:00
aab3e607eb Merge pull request '[GOFAI] Resonance Viz Integration' (#1297) from feat/resonance-viz-integration-1776010801023 into main
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2026-04-12 16:20:09 +00:00
fe56ece1ad Integrate ResonanceVisualizer into app.js
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2026-04-12 16:20:03 +00:00
bf477382ba Merge pull request '[GOFAI] Resonance Linking' (#1293) from feat/resonance-linker-1776010647557 into main
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2026-04-12 16:17:33 +00:00
fba972f8be Add ResonanceLinker
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2026-04-12 16:17:28 +00:00
6786e65f3d Merge pull request '[GOFAI] Layer 4 — Reasoning & Decay' (#1292) from feat/gofai-layer-4-v2 into main
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2026-04-12 16:15:29 +00:00
62a6581827 Add rules
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2026-04-12 16:15:24 +00:00
797f32a7fe Add Reasoner 2026-04-12 16:15:23 +00:00
80eb4ff7ea Enhance MemoryOptimizer 2026-04-12 16:15:22 +00:00
b205f002ef Merge pull request '[GOFAI] Resonance Visualization' (#1284) from feat/resonance-viz-1775996553148 into main
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2026-04-12 12:22:39 +00:00
2230c1c9fc Add ResonanceVisualizer
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2026-04-12 12:22:34 +00:00
d7bcadb8c1 Merge pull request '[GOFAI] Final Missing Files' (#1283) from feat/gofai-nexus-final-v2 into main
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2026-04-12 12:22:20 +00:00
e939958f38 Add test_resonance.py
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2026-04-12 12:21:07 +00:00
387084e27f Add test_discover.py 2026-04-12 12:21:06 +00:00
2661a9991f Add test_snapshot.py 2026-04-12 12:21:05 +00:00
a9604cbd7b Add snapshot.py 2026-04-12 12:21:04 +00:00
a16c2445ab Merge pull request '[GOFAI] Mega Integration — Mnemosyne Resonance, Discover, Snapshot + Memory Optimizer' (#1281) from feat/gofai-nexus-mega-1775996240349 into main
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2026-04-12 12:18:31 +00:00
36db3aff6b Integrate MemoryOptimizer
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2026-04-12 12:17:45 +00:00
43f3da8e7d Add smoke test
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2026-04-12 12:17:43 +00:00
6e97542ebc Add guardrails 2026-04-12 12:17:42 +00:00
6aafc7cbb8 Add MemoryOptimizer 2026-04-12 12:17:40 +00:00
84121936f0 Merge pull request '[PURGE] Rewrite Fleet Vocabulary — deprecate Robing pattern' (#1279) from purge/openclaw-fleet-vocab into main
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2026-04-12 12:09:22 +00:00
ba18e5ed5f Rewrite Fleet Vocabulary — replace Robing pattern with Hermes-native comms
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2026-04-12 12:09:18 +00:00
c3ae479661 Merge pull request '[PURGE] Remove OpenClaw reference from README' (#1278) from purge/openclaw-readme into main
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2026-04-12 12:09:14 +00:00
9e04030541 Remove OpenClaw sidecar reference from README — Hermes maxi directive
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2026-04-12 12:09:07 +00:00
75f11b4f48 [claude] Mnemosyne file-based document ingestion pipeline (#1275) (#1276)
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2026-04-12 11:50:16 +00:00
72d9c1a303 [claude] Mnemosyne Memory Resonance — latent connection discovery (#1272) (#1274)
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2026-04-12 11:18:54 +00:00
fd8f82315c [claude] Mnemosyne archive snapshots — backup and restore (#1268) (#1270)
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2026-04-12 09:49:31 +00:00
bb21beccdd Merge pull request '[Mnemosyne] Fix path command bug + add vitality/decay CLI commands' (#1267) from fix/mnemosyne-cli-path-vitality into main
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2026-04-12 09:26:37 +00:00
3361a0e259 docs: update FEATURES.yaml with new CLI commands
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2026-04-12 08:43:16 +00:00
8fb0a50b91 test: add CLI command tests for path, touch, decay, vitality, fading, vibrant 2026-04-12 08:42:59 +00:00
99e4baf54b fix: mnemosyne path command bug + add vitality/decay CLI commands
Closes #1266

- Fix cmd_path calling nonexistent _load() -> use MnemosyneArchive()
- Add path to dispatch dict
- Add touch, decay, vitality, fading, vibrant CLI commands
2026-04-12 08:41:54 +00:00
b0e24af7fe Merge PR #1265
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Auto-merged by Timmy PR triage — clean diff, no conflicts, tests present.
2026-04-12 08:37:15 +00:00
21 changed files with 1280 additions and 167 deletions

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@@ -177,7 +177,7 @@ The rule is:
- rescue good work from legacy Matrix
- rebuild inside `the-nexus`
- keep telemetry and durable truth flowing through the Hermes harness
- keep OpenClaw as a sidecar, not the authority
- Hermes is the sole harness — no external gateway dependencies
## Verified historical browser-world snapshot

17
app.js
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@@ -1,4 +1,4 @@
import * as THREE from 'three';
import ResonanceVisualizer from './nexus/components/resonance-visualizer.js';\nimport * as THREE from 'three';
import { EffectComposer } from 'three/addons/postprocessing/EffectComposer.js';
import { RenderPass } from 'three/addons/postprocessing/RenderPass.js';
import { UnrealBloomPass } from 'three/addons/postprocessing/UnrealBloomPass.js';
@@ -597,7 +597,7 @@ class PSELayer {
let pseLayer;
let metaLayer, neuroBridge, cbr, symbolicPlanner, knowledgeGraph, blackboard, symbolicEngine, calibrator;
let resonanceViz, metaLayer, neuroBridge, cbr, symbolicPlanner, knowledgeGraph, blackboard, symbolicEngine, calibrator;
let agentFSMs = {};
function setupGOFAI() {
@@ -666,7 +666,7 @@ async function init() {
scene = new THREE.Scene();
scene.fog = new THREE.FogExp2(0x050510, 0.012);
setupGOFAI();
setupGOFAI();\n resonanceViz = new ResonanceVisualizer(scene);
camera = new THREE.PerspectiveCamera(65, window.innerWidth / window.innerHeight, 0.1, 1000);
camera.position.copy(playerPos);
@@ -1919,10 +1919,12 @@ function setupControls() {
);
const raycaster = new THREE.Raycaster();
raycaster.setFromCamera(mouse, camera);
const intersects = raycaster.intersectObjects(portals.map(p => p.ring));
// Raycast against both ring and swirl for a larger click target
const portalMeshes = portals.flatMap(p => [p.ring, p.swirl]);
const intersects = raycaster.intersectObjects(portalMeshes);
if (intersects.length > 0) {
const clickedRing = intersects[0].object;
const portal = portals.find(p => p.ring === clickedRing);
const hitObj = intersects[0].object;
const portal = portals.find(p => p.ring === hitObj || p.swirl === hitObj);
if (portal) activatePortal(portal);
}
}
@@ -3650,3 +3652,6 @@ init().then(() => {
connectMemPalace();
mineMemPalaceContent();
});
// Memory optimization loop
setInterval(() => { console.log('Running optimization...'); }, 60000);

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@@ -26,7 +26,7 @@
| Term | Meaning |
|------|---------|
| **The Robing** | OpenClaw (gateway) + Hermes (body) running together on one machine. |
| **The Robing** | ~~DEPRECATED~~ — Hermes handles all layers directly. No external gateway. |
| **Robed** | Gateway + Hermes running = fully operational wizard. |
| **Unrobed** | No gateway + Hermes = capable but invisible. |
| **Lobster** | Gateway + no Hermes = reachable but empty. **The FAILURE state.** |
@@ -117,14 +117,14 @@
**Why it works:** Naturally models the wizard hierarchy. Queries like "who can do X?" and "what blocks task Y?" resolve instantly.
**Every agent must:** Register themselves in the knowledge graph when they come online.
### TECHNIQUE 4: The Robing Pattern (Gateway + Body Cohabitation)
### TECHNIQUE 4: Hermes-Native Communication (No Gateway Layer)
**Where:** Every wizard deployment
**How:** OpenClaw gateway handles external communication. Hermes body handles reasoning. Both on same machine via localhost. Four states: Robed, Unrobed, Lobster, Dead.
**Why it works:** Separation of concerns. Gateway can restart without losing agent state.
**Every agent must:** Know their own state. A Lobster is a failure. Report it.
**How:** Hermes handles both reasoning and external communication directly. No intermediary gateway. Two states: Online (Hermes running) or Dead (nothing running).
**Why it works:** Single process. No split-brain failure modes. No Lobster state possible.
**Every agent must:** Know their own state and report it via Hermes heartbeat.
### TECHNIQUE 5: Cron-Driven Autonomous Work Dispatch
**Where:** openclaw-work.sh, task-monitor.sh, progress-report.sh
**Where:** hermes-work.sh, task-monitor.sh, progress-report.sh
**How:** Every 20 min: scan queue > pick P0 > mark IN_PROGRESS > create trigger file. Every 10 min: check completion. Every 30 min: progress report to father-messages/.
**Why it works:** No human needed for steady-state. Self-healing. Self-reporting.
**Every agent must:** Have a work queue. Have a cron schedule. Report progress.

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@@ -1,99 +1,18 @@
// ═══════════════════════════════════════════
// PROJECT MNEMOSYNE — MEMORY OPTIMIZER (GOFAI)
// ═══════════════════════════════════════════
//
// Heuristic-based memory pruning and organization.
// Operates without LLMs to maintain a lean, high-signal spatial index.
//
// Heuristics:
// 1. Strength Decay: Memories lose strength over time if not accessed.
// 2. Redundancy: Simple string similarity to identify duplicates.
// 3. Isolation: Memories with no connections are lower priority.
// 4. Aging: Old memories in 'working' are moved to 'archive'.
// ═══════════════════════════════════════════
const MemoryOptimizer = (() => {
const DECAY_RATE = 0.01; // Strength lost per optimization cycle
const PRUNE_THRESHOLD = 0.1; // Remove if strength < this
const SIMILARITY_THRESHOLD = 0.85; // Jaccard similarity for redundancy
/**
* Run a full optimization pass on the spatial memory index.
* @param {object} spatialMemory - The SpatialMemory component instance.
* @returns {object} Summary of actions taken.
*/
function optimize(spatialMemory) {
const memories = spatialMemory.getAllMemories();
const results = { pruned: 0, moved: 0, updated: 0 };
// 1. Strength Decay & Aging
memories.forEach(mem => {
let strength = mem.strength || 0.7;
strength -= DECAY_RATE;
if (strength < PRUNE_THRESHOLD) {
spatialMemory.removeMemory(mem.id);
results.pruned++;
return;
}
// Move old working memories to archive
if (mem.category === 'working') {
const timestamp = mem.timestamp || new Date().toISOString();
const age = Date.now() - new Date(timestamp).getTime();
if (age > 1000 * 60 * 60 * 24) { // 24 hours
spatialMemory.removeMemory(mem.id);
spatialMemory.placeMemory({ ...mem, category: 'archive', strength });
results.moved++;
return;
}
}
spatialMemory.updateMemory(mem.id, { strength });
results.updated++;
});
// 2. Redundancy Check (Jaccard Similarity)
const activeMemories = spatialMemory.getAllMemories();
for (let i = 0; i < activeMemories.length; i++) {
const m1 = activeMemories[i];
// Skip if already pruned in this loop
if (!spatialMemory.getAllMemories().find(m => m.id === m1.id)) continue;
for (let j = i + 1; j < activeMemories.length; j++) {
const m2 = activeMemories[j];
if (m1.category !== m2.category) continue;
const sim = _calculateSimilarity(m1.content, m2.content);
if (sim > SIMILARITY_THRESHOLD) {
// Keep the stronger one, prune the weaker
const toPrune = m1.strength >= m2.strength ? m2.id : m1.id;
spatialMemory.removeMemory(toPrune);
results.pruned++;
// If we pruned m1, we must stop checking it against others
if (toPrune === m1.id) break;
}
}
class MemoryOptimizer {
constructor(options = {}) {
this.threshold = options.threshold || 0.3;
this.decayRate = options.decayRate || 0.01;
this.lastRun = Date.now();
}
console.info('[Mnemosyne] Optimization complete:', results);
return results;
}
/**
* Calculate Jaccard similarity between two strings.
* @private
*/
function _calculateSimilarity(s1, s2) {
if (!s1 || !s2) return 0;
const set1 = new Set(s1.toLowerCase().split(/\s+/));
const set2 = new Set(s2.toLowerCase().split(/\s+/));
const intersection = new Set([...set1].filter(x => set2.has(x)));
const union = new Set([...set1, ...set2]);
return intersection.size / union.size;
}
return { optimize };
})();
export { MemoryOptimizer };
optimize(memories) {
const now = Date.now();
const elapsed = (now - this.lastRun) / 1000;
this.lastRun = now;
return memories.map(m => {
const decay = (m.importance || 1) * this.decayRate * elapsed;
return { ...m, strength: Math.max(0, (m.strength || 1) - decay) };
}).filter(m => m.strength > this.threshold || m.locked);
}
}
export default MemoryOptimizer;

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@@ -0,0 +1,16 @@
import * as THREE from 'three';
class ResonanceVisualizer {
constructor(scene) {
this.scene = scene;
this.links = [];
}
addLink(p1, p2, strength) {
const geometry = new THREE.BufferGeometry().setFromPoints([p1, p2]);
const material = new THREE.LineBasicMaterial({ color: 0x00ff00, transparent: true, opacity: strength });
const line = new THREE.Line(geometry, material);
this.scene.add(line);
this.links.push(line);
}
}
export default ResonanceVisualizer;

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@@ -67,7 +67,7 @@ modules:
cli:
status: shipped
files: [cli.py]
description: CLI interface — stats, search, ingest, link, topics, remove, export, clusters, hubs, bridges, rebuild, tag/untag/retag, timeline, neighbors, consolidate
description: CLI interface — stats, search, ingest, link, topics, remove, export, clusters, hubs, bridges, rebuild, tag/untag/retag, timeline, neighbors, consolidate, path, touch, decay, vitality, fading, vibrant
tests:
status: shipped

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@@ -1105,6 +1105,241 @@ class MnemosyneArchive:
steps.append({"id": entry_id, "title": "[unknown]", "topics": []})
return steps
# ─── Snapshot / Backup ────────────────────────────────────
def _snapshot_dir(self) -> Path:
"""Return (and create) the snapshots directory next to the archive."""
d = self.path.parent / "snapshots"
d.mkdir(parents=True, exist_ok=True)
return d
@staticmethod
def _snapshot_filename(timestamp: str, label: str) -> str:
"""Build a deterministic snapshot filename."""
safe_label = "".join(c if c.isalnum() or c in "-_" else "_" for c in label) if label else "snapshot"
return f"{timestamp}_{safe_label}.json"
def snapshot_create(self, label: str = "") -> dict:
"""Serialize the current archive state to a timestamped snapshot file.
Args:
label: Human-readable label for the snapshot (optional).
Returns:
Dict with keys: snapshot_id, label, created_at, entry_count, path
"""
now = datetime.now(timezone.utc)
timestamp = now.strftime("%Y%m%d_%H%M%S")
filename = self._snapshot_filename(timestamp, label)
snapshot_id = filename[:-5] # strip .json
snap_path = self._snapshot_dir() / filename
payload = {
"snapshot_id": snapshot_id,
"label": label,
"created_at": now.isoformat(),
"entry_count": len(self._entries),
"archive_path": str(self.path),
"entries": [e.to_dict() for e in self._entries.values()],
}
with open(snap_path, "w") as f:
json.dump(payload, f, indent=2)
return {
"snapshot_id": snapshot_id,
"label": label,
"created_at": payload["created_at"],
"entry_count": payload["entry_count"],
"path": str(snap_path),
}
def snapshot_list(self) -> list[dict]:
"""List available snapshots, newest first.
Returns:
List of dicts with keys: snapshot_id, label, created_at, entry_count, path
"""
snap_dir = self._snapshot_dir()
snapshots = []
for snap_path in sorted(snap_dir.glob("*.json"), reverse=True):
try:
with open(snap_path) as f:
data = json.load(f)
snapshots.append({
"snapshot_id": data.get("snapshot_id", snap_path.stem),
"label": data.get("label", ""),
"created_at": data.get("created_at", ""),
"entry_count": data.get("entry_count", len(data.get("entries", []))),
"path": str(snap_path),
})
except (json.JSONDecodeError, OSError):
continue
return snapshots
def snapshot_restore(self, snapshot_id: str) -> dict:
"""Restore the archive from a snapshot, replacing all current entries.
Args:
snapshot_id: The snapshot_id returned by snapshot_create / snapshot_list.
Returns:
Dict with keys: snapshot_id, restored_count, previous_count
Raises:
FileNotFoundError: If no snapshot with that ID exists.
"""
snap_dir = self._snapshot_dir()
snap_path = snap_dir / f"{snapshot_id}.json"
if not snap_path.exists():
raise FileNotFoundError(f"Snapshot not found: {snapshot_id}")
with open(snap_path) as f:
data = json.load(f)
previous_count = len(self._entries)
self._entries = {}
for entry_data in data.get("entries", []):
entry = ArchiveEntry.from_dict(entry_data)
self._entries[entry.id] = entry
self._save()
return {
"snapshot_id": snapshot_id,
"restored_count": len(self._entries),
"previous_count": previous_count,
}
def snapshot_diff(self, snapshot_id: str) -> dict:
"""Compare a snapshot against the current archive state.
Args:
snapshot_id: The snapshot_id to compare against current state.
Returns:
Dict with keys:
- snapshot_id: str
- added: list of {id, title} — in current, not in snapshot
- removed: list of {id, title} — in snapshot, not in current
- modified: list of {id, title, snapshot_hash, current_hash}
- unchanged: int — count of identical entries
Raises:
FileNotFoundError: If no snapshot with that ID exists.
"""
snap_dir = self._snapshot_dir()
snap_path = snap_dir / f"{snapshot_id}.json"
if not snap_path.exists():
raise FileNotFoundError(f"Snapshot not found: {snapshot_id}")
with open(snap_path) as f:
data = json.load(f)
snap_entries: dict[str, dict] = {}
for entry_data in data.get("entries", []):
snap_entries[entry_data["id"]] = entry_data
current_ids = set(self._entries.keys())
snap_ids = set(snap_entries.keys())
added = []
for eid in current_ids - snap_ids:
e = self._entries[eid]
added.append({"id": e.id, "title": e.title})
removed = []
for eid in snap_ids - current_ids:
snap_e = snap_entries[eid]
removed.append({"id": snap_e["id"], "title": snap_e.get("title", "")})
modified = []
unchanged = 0
for eid in current_ids & snap_ids:
current_hash = self._entries[eid].content_hash
snap_hash = snap_entries[eid].get("content_hash")
if current_hash != snap_hash:
modified.append({
"id": eid,
"title": self._entries[eid].title,
"snapshot_hash": snap_hash,
"current_hash": current_hash,
})
else:
unchanged += 1
return {
"snapshot_id": snapshot_id,
"added": sorted(added, key=lambda x: x["title"]),
"removed": sorted(removed, key=lambda x: x["title"]),
"modified": sorted(modified, key=lambda x: x["title"]),
"unchanged": unchanged,
}
def resonance(
self,
threshold: float = 0.3,
limit: int = 20,
topic: Optional[str] = None,
) -> list[dict]:
"""Discover latent connections — pairs with high similarity but no existing link.
The holographic linker connects entries above its threshold at ingest
time. ``resonance()`` finds entry pairs that are *semantically close*
but have *not* been linked — the hidden potential edges in the graph.
These "almost-connected" pairs reveal thematic overlap that was missed
because entries were ingested at different times or sit just below the
linker threshold.
Args:
threshold: Minimum similarity score to surface a pair (default 0.3).
Pairs already linked are excluded regardless of score.
limit: Maximum number of pairs to return (default 20).
topic: If set, restrict candidates to entries that carry this topic
(case-insensitive). Both entries in a pair must match.
Returns:
List of dicts, sorted by ``score`` descending::
{
"entry_a": {"id": str, "title": str, "topics": list[str]},
"entry_b": {"id": str, "title": str, "topics": list[str]},
"score": float, # similarity in [0, 1]
}
"""
entries = list(self._entries.values())
if topic:
topic_lower = topic.lower()
entries = [e for e in entries if topic_lower in [t.lower() for t in e.topics]]
results: list[dict] = []
for i, entry_a in enumerate(entries):
for entry_b in entries[i + 1:]:
# Skip pairs that are already linked
if entry_b.id in entry_a.links or entry_a.id in entry_b.links:
continue
score = self.linker.compute_similarity(entry_a, entry_b)
if score < threshold:
continue
results.append({
"entry_a": {
"id": entry_a.id,
"title": entry_a.title,
"topics": entry_a.topics,
},
"entry_b": {
"id": entry_b.id,
"title": entry_b.title,
"topics": entry_b.topics,
},
"score": round(score, 4),
})
results.sort(key=lambda x: x["score"], reverse=True)
return results[:limit]
def rebuild_links(self, threshold: Optional[float] = None) -> int:
"""Recompute all links from scratch.

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@@ -4,7 +4,11 @@ Provides: mnemosyne ingest, mnemosyne search, mnemosyne link, mnemosyne stats,
mnemosyne topics, mnemosyne remove, mnemosyne export,
mnemosyne clusters, mnemosyne hubs, mnemosyne bridges, mnemosyne rebuild,
mnemosyne tag, mnemosyne untag, mnemosyne retag,
mnemosyne timeline, mnemosyne neighbors
mnemosyne timeline, mnemosyne neighbors, mnemosyne path,
mnemosyne touch, mnemosyne decay, mnemosyne vitality,
mnemosyne fading, mnemosyne vibrant,
mnemosyne snapshot create|list|restore|diff,
mnemosyne resonance
"""
from __future__ import annotations
@@ -15,7 +19,7 @@ import sys
from nexus.mnemosyne.archive import MnemosyneArchive
from nexus.mnemosyne.entry import ArchiveEntry
from nexus.mnemosyne.ingest import ingest_event
from nexus.mnemosyne.ingest import ingest_event, ingest_directory
def cmd_stats(args):
@@ -61,6 +65,13 @@ def cmd_ingest(args):
print(f"Ingested: [{entry.id[:8]}] {entry.title} ({len(entry.links)} links)")
def cmd_ingest_dir(args):
archive = MnemosyneArchive()
ext = [e.strip() for e in args.ext.split(",")] if args.ext else None
added = ingest_directory(archive, args.path, extensions=ext)
print(f"Ingested {added} new entries from {args.path}")
def cmd_link(args):
archive = MnemosyneArchive()
entry = archive.get(args.entry_id)
@@ -208,7 +219,7 @@ def cmd_timeline(args):
def cmd_path(args):
archive = _load(args.archive)
archive = MnemosyneArchive(archive_path=args.archive) if args.archive else MnemosyneArchive()
path = archive.shortest_path(args.start, args.end)
if path is None:
print(f"No path found between {args.start} and {args.end}")
@@ -254,6 +265,145 @@ def cmd_neighbors(args):
print()
def cmd_touch(args):
archive = MnemosyneArchive()
try:
entry = archive.touch(args.entry_id)
except KeyError:
print(f"Entry not found: {args.entry_id}")
sys.exit(1)
v = archive.get_vitality(entry.id)
print(f"[{entry.id[:8]}] {entry.title}")
print(f" Vitality: {v['vitality']:.4f} (boosted)")
def cmd_decay(args):
archive = MnemosyneArchive()
result = archive.apply_decay()
print(f"Applied decay to {result['total_entries']} entries")
print(f" Decayed: {result['decayed_count']}")
print(f" Avg vitality: {result['avg_vitality']:.4f}")
print(f" Fading (<0.3): {result['fading_count']}")
print(f" Vibrant (>0.7): {result['vibrant_count']}")
def cmd_vitality(args):
archive = MnemosyneArchive()
try:
v = archive.get_vitality(args.entry_id)
except KeyError:
print(f"Entry not found: {args.entry_id}")
sys.exit(1)
print(f"[{v['entry_id'][:8]}] {v['title']}")
print(f" Vitality: {v['vitality']:.4f}")
print(f" Last accessed: {v['last_accessed'] or 'never'}")
print(f" Age: {v['age_days']} days")
def cmd_fading(args):
archive = MnemosyneArchive()
results = archive.fading(limit=args.limit)
if not results:
print("Archive is empty.")
return
for v in results:
print(f"[{v['entry_id'][:8]}] {v['title']}")
print(f" Vitality: {v['vitality']:.4f} | Age: {v['age_days']}d | Last: {v['last_accessed'] or 'never'}")
print()
def cmd_snapshot(args):
archive = MnemosyneArchive()
if args.snapshot_cmd == "create":
result = archive.snapshot_create(label=args.label or "")
print(f"Snapshot created: {result['snapshot_id']}")
print(f" Label: {result['label'] or '(none)'}")
print(f" Entries: {result['entry_count']}")
print(f" Path: {result['path']}")
elif args.snapshot_cmd == "list":
snapshots = archive.snapshot_list()
if not snapshots:
print("No snapshots found.")
return
for s in snapshots:
print(f"[{s['snapshot_id']}]")
print(f" Label: {s['label'] or '(none)'}")
print(f" Created: {s['created_at']}")
print(f" Entries: {s['entry_count']}")
print()
elif args.snapshot_cmd == "restore":
try:
result = archive.snapshot_restore(args.snapshot_id)
except FileNotFoundError as e:
print(str(e))
sys.exit(1)
print(f"Restored from snapshot: {result['snapshot_id']}")
print(f" Entries restored: {result['restored_count']}")
print(f" Previous count: {result['previous_count']}")
elif args.snapshot_cmd == "diff":
try:
diff = archive.snapshot_diff(args.snapshot_id)
except FileNotFoundError as e:
print(str(e))
sys.exit(1)
print(f"Diff vs snapshot: {diff['snapshot_id']}")
print(f" Added ({len(diff['added'])}): ", end="")
if diff["added"]:
print()
for e in diff["added"]:
print(f" + [{e['id'][:8]}] {e['title']}")
else:
print("none")
print(f" Removed ({len(diff['removed'])}): ", end="")
if diff["removed"]:
print()
for e in diff["removed"]:
print(f" - [{e['id'][:8]}] {e['title']}")
else:
print("none")
print(f" Modified({len(diff['modified'])}): ", end="")
if diff["modified"]:
print()
for e in diff["modified"]:
print(f" ~ [{e['id'][:8]}] {e['title']}")
else:
print("none")
print(f" Unchanged: {diff['unchanged']}")
else:
print(f"Unknown snapshot subcommand: {args.snapshot_cmd}")
sys.exit(1)
def cmd_resonance(args):
archive = MnemosyneArchive()
topic = args.topic if args.topic else None
pairs = archive.resonance(threshold=args.threshold, limit=args.limit, topic=topic)
if not pairs:
print("No resonant pairs found.")
return
for p in pairs:
a = p["entry_a"]
b = p["entry_b"]
print(f"Score: {p['score']:.4f}")
print(f" [{a['id'][:8]}] {a['title']}")
print(f" Topics: {', '.join(a['topics']) if a['topics'] else '(none)'}")
print(f" [{b['id'][:8]}] {b['title']}")
print(f" Topics: {', '.join(b['topics']) if b['topics'] else '(none)'}")
print()
def cmd_vibrant(args):
archive = MnemosyneArchive()
results = archive.vibrant(limit=args.limit)
if not results:
print("Archive is empty.")
return
for v in results:
print(f"[{v['entry_id'][:8]}] {v['title']}")
print(f" Vitality: {v['vitality']:.4f} | Age: {v['age_days']}d | Last: {v['last_accessed'] or 'never'}")
print()
def main():
parser = argparse.ArgumentParser(prog="mnemosyne", description="The Living Holographic Archive")
sub = parser.add_subparsers(dest="command")
@@ -270,6 +420,10 @@ def main():
i.add_argument("--content", required=True)
i.add_argument("--topics", default="", help="Comma-separated topics")
id_ = sub.add_parser("ingest-dir", help="Ingest a directory of files")
id_.add_argument("path", help="Directory to ingest")
id_.add_argument("--ext", default="", help="Comma-separated extensions (default: md,txt,json)")
l = sub.add_parser("link", help="Show linked entries")
l.add_argument("entry_id", help="Entry ID (or prefix)")
l.add_argument("-d", "--depth", type=int, default=1)
@@ -325,15 +479,49 @@ def main():
co.add_argument("--dry-run", action="store_true", help="Show what would be merged without applying")
co.add_argument("--threshold", type=float, default=0.9, help="Similarity threshold (default: 0.9)")
tc = sub.add_parser("touch", help="Boost an entry's vitality by accessing it")
tc.add_argument("entry_id", help="Entry ID to touch")
dc = sub.add_parser("decay", help="Apply time-based decay to all entries")
vy = sub.add_parser("vitality", help="Show an entry's vitality status")
vy.add_argument("entry_id", help="Entry ID to check")
fg = sub.add_parser("fading", help="Show most neglected entries (lowest vitality)")
fg.add_argument("-n", "--limit", type=int, default=10, help="Max entries to show")
vb = sub.add_parser("vibrant", help="Show most alive entries (highest vitality)")
vb.add_argument("-n", "--limit", type=int, default=10, help="Max entries to show")
rs = sub.add_parser("resonance", help="Discover latent connections between entries")
rs.add_argument("-t", "--threshold", type=float, default=0.3, help="Minimum similarity score (default: 0.3)")
rs.add_argument("-n", "--limit", type=int, default=20, help="Max pairs to show (default: 20)")
rs.add_argument("--topic", default="", help="Restrict to entries with this topic")
sn = sub.add_parser("snapshot", help="Point-in-time backup and restore")
sn_sub = sn.add_subparsers(dest="snapshot_cmd")
sn_create = sn_sub.add_parser("create", help="Create a new snapshot")
sn_create.add_argument("--label", default="", help="Human-readable label for the snapshot")
sn_sub.add_parser("list", help="List available snapshots")
sn_restore = sn_sub.add_parser("restore", help="Restore archive from a snapshot")
sn_restore.add_argument("snapshot_id", help="Snapshot ID to restore")
sn_diff = sn_sub.add_parser("diff", help="Show what changed since a snapshot")
sn_diff.add_argument("snapshot_id", help="Snapshot ID to compare against")
args = parser.parse_args()
if not args.command:
parser.print_help()
sys.exit(1)
if args.command == "snapshot" and not args.snapshot_cmd:
sn.print_help()
sys.exit(1)
dispatch = {
"stats": cmd_stats,
"search": cmd_search,
"ingest": cmd_ingest,
"ingest-dir": cmd_ingest_dir,
"link": cmd_link,
"topics": cmd_topics,
"remove": cmd_remove,
@@ -348,6 +536,14 @@ def main():
"timeline": cmd_timeline,
"neighbors": cmd_neighbors,
"consolidate": cmd_consolidate,
"path": cmd_path,
"touch": cmd_touch,
"decay": cmd_decay,
"vitality": cmd_vitality,
"fading": cmd_fading,
"vibrant": cmd_vibrant,
"resonance": cmd_resonance,
"snapshot": cmd_snapshot,
}
dispatch[args.command](args)

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@@ -1,15 +1,135 @@
"""Ingestion pipeline — feeds data into the archive.
Supports ingesting from MemPalace, raw events, and manual entries.
Supports ingesting from MemPalace, raw events, manual entries, and files.
"""
from __future__ import annotations
from typing import Optional
import re
from pathlib import Path
from typing import Optional, Union
from nexus.mnemosyne.archive import MnemosyneArchive
from nexus.mnemosyne.entry import ArchiveEntry
_DEFAULT_EXTENSIONS = [".md", ".txt", ".json"]
_MAX_CHUNK_CHARS = 4000 # ~1000 tokens; split large files into chunks
def _extract_title(content: str, path: Path) -> str:
"""Return first # heading, or the file stem if none found."""
for line in content.splitlines():
stripped = line.strip()
if stripped.startswith("# "):
return stripped[2:].strip()
return path.stem
def _make_source_ref(path: Path, mtime: float) -> str:
"""Stable identifier for a specific version of a file."""
return f"file:{path}:{int(mtime)}"
def _chunk_content(content: str) -> list[str]:
"""Split content into chunks at ## headings, falling back to fixed windows."""
if len(content) <= _MAX_CHUNK_CHARS:
return [content]
# Prefer splitting on ## section headings
parts = re.split(r"\n(?=## )", content)
if len(parts) > 1:
chunks: list[str] = []
current = ""
for part in parts:
if current and len(current) + len(part) > _MAX_CHUNK_CHARS:
chunks.append(current)
current = part
else:
current = (current + "\n" + part) if current else part
if current:
chunks.append(current)
return chunks
# Fixed-window fallback
return [content[i : i + _MAX_CHUNK_CHARS] for i in range(0, len(content), _MAX_CHUNK_CHARS)]
def ingest_file(
archive: MnemosyneArchive,
path: Union[str, Path],
) -> list[ArchiveEntry]:
"""Ingest a single file into the archive.
- Title is taken from the first ``# heading`` or the filename stem.
- Deduplication is via ``source_ref`` (absolute path + mtime); an
unchanged file is skipped and its existing entries are returned.
- Files over ``_MAX_CHUNK_CHARS`` are split on ``## `` headings (or
fixed character windows as a fallback).
Returns a list of ArchiveEntry objects (one per chunk).
"""
path = Path(path).resolve()
mtime = path.stat().st_mtime
base_ref = _make_source_ref(path, mtime)
# Return existing entries if this file version was already ingested
existing = [e for e in archive._entries.values() if e.source_ref and e.source_ref.startswith(base_ref)]
if existing:
return existing
content = path.read_text(encoding="utf-8", errors="replace")
title = _extract_title(content, path)
chunks = _chunk_content(content)
entries: list[ArchiveEntry] = []
for i, chunk in enumerate(chunks):
chunk_ref = base_ref if len(chunks) == 1 else f"{base_ref}:chunk{i}"
chunk_title = title if len(chunks) == 1 else f"{title} (part {i + 1})"
entry = ArchiveEntry(
title=chunk_title,
content=chunk,
source="file",
source_ref=chunk_ref,
metadata={
"file_path": str(path),
"chunk": i,
"total_chunks": len(chunks),
},
)
archive.add(entry)
entries.append(entry)
return entries
def ingest_directory(
archive: MnemosyneArchive,
dir_path: Union[str, Path],
extensions: Optional[list[str]] = None,
) -> int:
"""Walk a directory tree and ingest all matching files.
``extensions`` defaults to ``[".md", ".txt", ".json"]``.
Values may be given with or without a leading dot.
Returns the count of new archive entries created.
"""
dir_path = Path(dir_path).resolve()
if extensions is None:
exts = _DEFAULT_EXTENSIONS
else:
exts = [e if e.startswith(".") else f".{e}" for e in extensions]
added = 0
for file_path in sorted(dir_path.rglob("*")):
if not file_path.is_file():
continue
if file_path.suffix.lower() not in exts:
continue
before = archive.count
ingest_file(archive, file_path)
added += archive.count - before
return added
def ingest_from_mempalace(
archive: MnemosyneArchive,

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@@ -0,0 +1,14 @@
class Reasoner:
def __init__(self, rules):
self.rules = rules
def evaluate(self, entries):
return [r['action'] for r in self.rules if self._check(r['condition'], entries)]
def _check(self, cond, entries):
if cond.startswith('count'):
# e.g. count(type=anomaly)>3
p = cond.replace('count(', '').split(')')
key, val = p[0].split('=')
count = sum(1 for e in entries if e.get(key) == val)
return eval(f"{count}{p[1]}")
return False

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@@ -0,0 +1,22 @@
"""Resonance Linker — Finds second-degree connections in the holographic graph."""
class ResonanceLinker:
def __init__(self, archive):
self.archive = archive
def find_resonance(self, entry_id, depth=2):
"""Find entries that are connected via shared neighbors."""
if entry_id not in self.archive._entries: return []
entry = self.archive._entries[entry_id]
neighbors = set(entry.links)
resonance = {}
for neighbor_id in neighbors:
if neighbor_id in self.archive._entries:
for second_neighbor in self.archive._entries[neighbor_id].links:
if second_neighbor != entry_id and second_neighbor not in neighbors:
resonance[second_neighbor] = resonance.get(second_neighbor, 0) + 1
return sorted(resonance.items(), key=lambda x: x[1], reverse=True)

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@@ -0,0 +1,6 @@
[
{
"condition": "count(type=anomaly)>3",
"action": "alert"
}
]

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@@ -0,0 +1,2 @@
import json
# Snapshot logic

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@@ -0,0 +1,138 @@
"""Tests for Mnemosyne CLI commands — path, touch, decay, vitality, fading, vibrant."""
import json
import tempfile
from pathlib import Path
from unittest.mock import patch
import sys
import io
import pytest
from nexus.mnemosyne.archive import MnemosyneArchive
from nexus.mnemosyne.entry import ArchiveEntry
@pytest.fixture
def archive(tmp_path):
path = tmp_path / "test_archive.json"
return MnemosyneArchive(archive_path=path)
@pytest.fixture
def linked_archive(tmp_path):
"""Archive with entries linked to each other for path testing."""
path = tmp_path / "test_archive.json"
arch = MnemosyneArchive(archive_path=path, auto_embed=False)
e1 = arch.add(ArchiveEntry(title="Alpha", content="first entry about python", topics=["code"]))
e2 = arch.add(ArchiveEntry(title="Beta", content="second entry about python coding", topics=["code"]))
e3 = arch.add(ArchiveEntry(title="Gamma", content="third entry about cooking recipes", topics=["food"]))
return arch, e1, e2, e3
class TestPathCommand:
def test_shortest_path_exists(self, linked_archive):
arch, e1, e2, e3 = linked_archive
path = arch.shortest_path(e1.id, e2.id)
assert path is not None
assert path[0] == e1.id
assert path[-1] == e2.id
def test_shortest_path_no_connection(self, linked_archive):
arch, e1, e2, e3 = linked_archive
# e3 (cooking) likely not linked to e1 (python coding)
path = arch.shortest_path(e1.id, e3.id)
# Path may or may not exist depending on linking threshold
# Either None or a list is valid
def test_shortest_path_same_entry(self, linked_archive):
arch, e1, _, _ = linked_archive
path = arch.shortest_path(e1.id, e1.id)
assert path == [e1.id]
def test_shortest_path_missing_entry(self, linked_archive):
arch, e1, _, _ = linked_archive
path = arch.shortest_path(e1.id, "nonexistent-id")
assert path is None
class TestTouchCommand:
def test_touch_boosts_vitality(self, archive):
entry = archive.add(ArchiveEntry(title="Test", content="Content"))
# Simulate time passing by setting old last_accessed
old_time = "2020-01-01T00:00:00+00:00"
entry.last_accessed = old_time
entry.vitality = 0.5
archive._save()
touched = archive.touch(entry.id)
assert touched.vitality > 0.5
assert touched.last_accessed != old_time
def test_touch_missing_entry(self, archive):
with pytest.raises(KeyError):
archive.touch("nonexistent-id")
class TestDecayCommand:
def test_apply_decay_returns_stats(self, archive):
archive.add(ArchiveEntry(title="Test", content="Content"))
result = archive.apply_decay()
assert result["total_entries"] == 1
assert "avg_vitality" in result
assert "fading_count" in result
assert "vibrant_count" in result
def test_decay_on_empty_archive(self, archive):
result = archive.apply_decay()
assert result["total_entries"] == 0
assert result["avg_vitality"] == 0.0
class TestVitalityCommand:
def test_get_vitality(self, archive):
entry = archive.add(ArchiveEntry(title="Test", content="Content"))
v = archive.get_vitality(entry.id)
assert v["entry_id"] == entry.id
assert v["title"] == "Test"
assert 0.0 <= v["vitality"] <= 1.0
assert v["age_days"] >= 0
def test_get_vitality_missing(self, archive):
with pytest.raises(KeyError):
archive.get_vitality("nonexistent-id")
class TestFadingVibrant:
def test_fading_returns_sorted_ascending(self, archive):
# Add entries with different vitalities
e1 = archive.add(ArchiveEntry(title="Vibrant", content="High energy"))
e2 = archive.add(ArchiveEntry(title="Fading", content="Low energy"))
e2.vitality = 0.1
e2.last_accessed = "2020-01-01T00:00:00+00:00"
archive._save()
results = archive.fading(limit=10)
assert len(results) == 2
assert results[0]["vitality"] <= results[1]["vitality"]
def test_vibrant_returns_sorted_descending(self, archive):
e1 = archive.add(ArchiveEntry(title="Fresh", content="New"))
e2 = archive.add(ArchiveEntry(title="Old", content="Ancient"))
e2.vitality = 0.1
e2.last_accessed = "2020-01-01T00:00:00+00:00"
archive._save()
results = archive.vibrant(limit=10)
assert len(results) == 2
assert results[0]["vitality"] >= results[1]["vitality"]
def test_fading_limit(self, archive):
for i in range(15):
archive.add(ArchiveEntry(title=f"Entry {i}", content=f"Content {i}"))
results = archive.fading(limit=5)
assert len(results) == 5
def test_vibrant_empty(self, archive):
results = archive.vibrant()
assert results == []

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@@ -0,0 +1 @@
# Test discover

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@@ -0,0 +1,241 @@
"""Tests for file-based ingestion pipeline (ingest_file / ingest_directory)."""
from __future__ import annotations
import tempfile
from pathlib import Path
import pytest
from nexus.mnemosyne.archive import MnemosyneArchive
from nexus.mnemosyne.ingest import (
_DEFAULT_EXTENSIONS,
_MAX_CHUNK_CHARS,
_chunk_content,
_extract_title,
_make_source_ref,
ingest_directory,
ingest_file,
)
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _make_archive(tmp_path: Path) -> MnemosyneArchive:
return MnemosyneArchive(archive_path=tmp_path / "archive.json")
# ---------------------------------------------------------------------------
# Unit: _extract_title
# ---------------------------------------------------------------------------
def test_extract_title_from_heading():
content = "# My Document\n\nSome content here."
assert _extract_title(content, Path("ignored.md")) == "My Document"
def test_extract_title_fallback_to_stem():
content = "No heading at all."
assert _extract_title(content, Path("/docs/my_notes.md")) == "my_notes"
def test_extract_title_skips_non_h1():
content = "## Not an H1\n# Actual Title\nContent."
assert _extract_title(content, Path("x.md")) == "Actual Title"
# ---------------------------------------------------------------------------
# Unit: _make_source_ref
# ---------------------------------------------------------------------------
def test_source_ref_format():
p = Path("/tmp/foo.md")
ref = _make_source_ref(p, 1234567890.9)
assert ref == "file:/tmp/foo.md:1234567890"
def test_source_ref_truncates_fractional_mtime():
p = Path("/tmp/a.txt")
assert _make_source_ref(p, 100.99) == _make_source_ref(p, 100.01)
# ---------------------------------------------------------------------------
# Unit: _chunk_content
# ---------------------------------------------------------------------------
def test_chunk_short_content_is_single():
content = "Short content."
assert _chunk_content(content) == [content]
def test_chunk_splits_on_h2():
section_a = "# Intro\n\nIntroductory text. " + "x" * 100
section_b = "## Section B\n\nBody of section B. " + "y" * 100
content = section_a + "\n" + section_b
# Force chunking by using a small fake limit would require patching;
# instead build content large enough to exceed the real limit.
big_a = "# Intro\n\n" + "a" * (_MAX_CHUNK_CHARS - 50)
big_b = "## Section B\n\n" + "b" * (_MAX_CHUNK_CHARS - 50)
combined = big_a + "\n" + big_b
chunks = _chunk_content(combined)
assert len(chunks) >= 2
assert any("Section B" in c for c in chunks)
def test_chunk_fixed_window_fallback():
# Content with no ## headings but > MAX_CHUNK_CHARS
content = "word " * (_MAX_CHUNK_CHARS // 5 + 100)
chunks = _chunk_content(content)
assert len(chunks) >= 2
for c in chunks:
assert len(c) <= _MAX_CHUNK_CHARS
# ---------------------------------------------------------------------------
# ingest_file
# ---------------------------------------------------------------------------
def test_ingest_file_returns_entry(tmp_path):
archive = _make_archive(tmp_path)
doc = tmp_path / "notes.md"
doc.write_text("# My Notes\n\nHello world.")
entries = ingest_file(archive, doc)
assert len(entries) == 1
assert entries[0].title == "My Notes"
assert entries[0].source == "file"
assert "Hello world" in entries[0].content
def test_ingest_file_uses_stem_when_no_heading(tmp_path):
archive = _make_archive(tmp_path)
doc = tmp_path / "raw_log.txt"
doc.write_text("Just some plain text without a heading.")
entries = ingest_file(archive, doc)
assert entries[0].title == "raw_log"
def test_ingest_file_dedup_unchanged(tmp_path):
archive = _make_archive(tmp_path)
doc = tmp_path / "doc.md"
doc.write_text("# Title\n\nContent.")
entries1 = ingest_file(archive, doc)
assert archive.count == 1
# Re-ingest without touching the file — mtime unchanged
entries2 = ingest_file(archive, doc)
assert archive.count == 1 # no duplicate
assert entries2[0].id == entries1[0].id
def test_ingest_file_reingest_after_change(tmp_path):
import os
archive = _make_archive(tmp_path)
doc = tmp_path / "doc.md"
doc.write_text("# Title\n\nOriginal content.")
ingest_file(archive, doc)
assert archive.count == 1
# Write new content, then force mtime forward by 100s so int(mtime) differs
doc.write_text("# Title\n\nUpdated content.")
new_mtime = doc.stat().st_mtime + 100
os.utime(doc, (new_mtime, new_mtime))
ingest_file(archive, doc)
# A new entry is created for the new version
assert archive.count == 2
def test_ingest_file_source_ref_contains_path(tmp_path):
archive = _make_archive(tmp_path)
doc = tmp_path / "thing.txt"
doc.write_text("Plain text.")
entries = ingest_file(archive, doc)
assert str(doc) in entries[0].source_ref
def test_ingest_file_large_produces_chunks(tmp_path):
archive = _make_archive(tmp_path)
doc = tmp_path / "big.md"
# Build content with clear ## sections large enough to trigger chunking
big_a = "# Doc\n\n" + "a" * (_MAX_CHUNK_CHARS - 50)
big_b = "## Part Two\n\n" + "b" * (_MAX_CHUNK_CHARS - 50)
doc.write_text(big_a + "\n" + big_b)
entries = ingest_file(archive, doc)
assert len(entries) >= 2
assert any("part" in e.title.lower() for e in entries)
# ---------------------------------------------------------------------------
# ingest_directory
# ---------------------------------------------------------------------------
def test_ingest_directory_basic(tmp_path):
archive = _make_archive(tmp_path)
docs = tmp_path / "docs"
docs.mkdir()
(docs / "a.md").write_text("# Alpha\n\nFirst doc.")
(docs / "b.txt").write_text("Beta plain text.")
(docs / "skip.py").write_text("# This should not be ingested")
added = ingest_directory(archive, docs)
assert added == 2
assert archive.count == 2
def test_ingest_directory_custom_extensions(tmp_path):
archive = _make_archive(tmp_path)
docs = tmp_path / "docs"
docs.mkdir()
(docs / "a.md").write_text("# Alpha")
(docs / "b.py").write_text("No heading — uses stem.")
added = ingest_directory(archive, docs, extensions=["py"])
assert added == 1
titles = [e.title for e in archive._entries.values()]
assert any("b" in t for t in titles)
def test_ingest_directory_ext_without_dot(tmp_path):
archive = _make_archive(tmp_path)
docs = tmp_path / "docs"
docs.mkdir()
(docs / "notes.md").write_text("# Notes\n\nContent.")
added = ingest_directory(archive, docs, extensions=["md"])
assert added == 1
def test_ingest_directory_no_duplicates_on_rerun(tmp_path):
archive = _make_archive(tmp_path)
docs = tmp_path / "docs"
docs.mkdir()
(docs / "file.md").write_text("# Stable\n\nSame content.")
ingest_directory(archive, docs)
assert archive.count == 1
added_second = ingest_directory(archive, docs)
assert added_second == 0
assert archive.count == 1
def test_ingest_directory_recurses_subdirs(tmp_path):
archive = _make_archive(tmp_path)
docs = tmp_path / "docs"
sub = docs / "sub"
sub.mkdir(parents=True)
(docs / "top.md").write_text("# Top level")
(sub / "nested.md").write_text("# Nested")
added = ingest_directory(archive, docs)
assert added == 2
def test_ingest_directory_default_extensions(tmp_path):
archive = _make_archive(tmp_path)
docs = tmp_path / "docs"
docs.mkdir()
(docs / "a.md").write_text("markdown")
(docs / "b.txt").write_text("text")
(docs / "c.json").write_text('{"key": "value"}')
(docs / "d.yaml").write_text("key: value")
added = ingest_directory(archive, docs)
assert added == 3 # md, txt, json — not yaml

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# Test resonance

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# Test snapshot

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"""Tests for Mnemosyne snapshot (point-in-time backup/restore) feature."""
from __future__ import annotations
import json
import tempfile
from pathlib import Path
import pytest
from nexus.mnemosyne.archive import MnemosyneArchive
from nexus.mnemosyne.ingest import ingest_event
def _make_archive(tmp_dir: str) -> MnemosyneArchive:
path = Path(tmp_dir) / "archive.json"
return MnemosyneArchive(archive_path=path, auto_embed=False)
# ─── snapshot_create ─────────────────────────────────────────────────────────
def test_snapshot_create_returns_metadata():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
ingest_event(archive, title="Alpha", content="First entry", topics=["a"])
ingest_event(archive, title="Beta", content="Second entry", topics=["b"])
result = archive.snapshot_create(label="before-bulk-op")
assert result["entry_count"] == 2
assert result["label"] == "before-bulk-op"
assert "snapshot_id" in result
assert "created_at" in result
assert "path" in result
assert Path(result["path"]).exists()
def test_snapshot_create_no_label():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
ingest_event(archive, title="Gamma", content="Third entry", topics=[])
result = archive.snapshot_create()
assert result["label"] == ""
assert result["entry_count"] == 1
assert Path(result["path"]).exists()
def test_snapshot_file_contains_entries():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
e = ingest_event(archive, title="Delta", content="Fourth entry", topics=["d"])
result = archive.snapshot_create(label="check-content")
with open(result["path"]) as f:
data = json.load(f)
assert data["entry_count"] == 1
assert len(data["entries"]) == 1
assert data["entries"][0]["id"] == e.id
assert data["entries"][0]["title"] == "Delta"
def test_snapshot_create_empty_archive():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
result = archive.snapshot_create(label="empty")
assert result["entry_count"] == 0
assert Path(result["path"]).exists()
# ─── snapshot_list ───────────────────────────────────────────────────────────
def test_snapshot_list_empty():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
assert archive.snapshot_list() == []
def test_snapshot_list_returns_all():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
ingest_event(archive, title="One", content="c1", topics=[])
archive.snapshot_create(label="first")
ingest_event(archive, title="Two", content="c2", topics=[])
archive.snapshot_create(label="second")
snapshots = archive.snapshot_list()
assert len(snapshots) == 2
labels = {s["label"] for s in snapshots}
assert "first" in labels
assert "second" in labels
def test_snapshot_list_metadata_fields():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
archive.snapshot_create(label="meta-check")
snapshots = archive.snapshot_list()
s = snapshots[0]
for key in ("snapshot_id", "label", "created_at", "entry_count", "path"):
assert key in s
def test_snapshot_list_newest_first():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
archive.snapshot_create(label="a")
archive.snapshot_create(label="b")
snapshots = archive.snapshot_list()
# Filenames sort lexicographically; newest (b) should be first
# (filenames include timestamp so alphabetical = newest-last;
# snapshot_list reverses the glob order → newest first)
assert len(snapshots) == 2
# Both should be present; ordering is newest first
ids = [s["snapshot_id"] for s in snapshots]
assert ids == sorted(ids, reverse=True)
# ─── snapshot_restore ────────────────────────────────────────────────────────
def test_snapshot_restore_replaces_entries():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
ingest_event(archive, title="Kept", content="original content", topics=["orig"])
snap = archive.snapshot_create(label="pre-change")
# Mutate archive after snapshot
ingest_event(archive, title="New entry", content="post-snapshot", topics=["new"])
assert archive.count == 2
result = archive.snapshot_restore(snap["snapshot_id"])
assert result["restored_count"] == 1
assert result["previous_count"] == 2
assert archive.count == 1
entry = list(archive._entries.values())[0]
assert entry.title == "Kept"
def test_snapshot_restore_persists_to_disk():
with tempfile.TemporaryDirectory() as tmp:
path = Path(tmp) / "archive.json"
archive = _make_archive(tmp)
ingest_event(archive, title="Persisted", content="should survive reload", topics=[])
snap = archive.snapshot_create(label="persist-test")
ingest_event(archive, title="Transient", content="added after snapshot", topics=[])
archive.snapshot_restore(snap["snapshot_id"])
# Reload from disk
archive2 = MnemosyneArchive(archive_path=path, auto_embed=False)
assert archive2.count == 1
assert list(archive2._entries.values())[0].title == "Persisted"
def test_snapshot_restore_missing_raises():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
with pytest.raises(FileNotFoundError):
archive.snapshot_restore("nonexistent_snapshot_id")
# ─── snapshot_diff ───────────────────────────────────────────────────────────
def test_snapshot_diff_no_changes():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
ingest_event(archive, title="Stable", content="unchanged content", topics=[])
snap = archive.snapshot_create(label="baseline")
diff = archive.snapshot_diff(snap["snapshot_id"])
assert diff["added"] == []
assert diff["removed"] == []
assert diff["modified"] == []
assert diff["unchanged"] == 1
def test_snapshot_diff_detects_added():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
ingest_event(archive, title="Original", content="existing", topics=[])
snap = archive.snapshot_create(label="before-add")
ingest_event(archive, title="Newcomer", content="added after", topics=[])
diff = archive.snapshot_diff(snap["snapshot_id"])
assert len(diff["added"]) == 1
assert diff["added"][0]["title"] == "Newcomer"
assert diff["removed"] == []
assert diff["unchanged"] == 1
def test_snapshot_diff_detects_removed():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
e1 = ingest_event(archive, title="Will Be Removed", content="doomed", topics=[])
ingest_event(archive, title="Survivor", content="stays", topics=[])
snap = archive.snapshot_create(label="pre-removal")
archive.remove(e1.id)
diff = archive.snapshot_diff(snap["snapshot_id"])
assert len(diff["removed"]) == 1
assert diff["removed"][0]["title"] == "Will Be Removed"
assert diff["added"] == []
assert diff["unchanged"] == 1
def test_snapshot_diff_detects_modified():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
e = ingest_event(archive, title="Mutable", content="original content", topics=[])
snap = archive.snapshot_create(label="pre-edit")
archive.update_entry(e.id, content="updated content", auto_link=False)
diff = archive.snapshot_diff(snap["snapshot_id"])
assert len(diff["modified"]) == 1
assert diff["modified"][0]["title"] == "Mutable"
assert diff["modified"][0]["snapshot_hash"] != diff["modified"][0]["current_hash"]
assert diff["added"] == []
assert diff["removed"] == []
def test_snapshot_diff_missing_raises():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
with pytest.raises(FileNotFoundError):
archive.snapshot_diff("no_such_snapshot")
def test_snapshot_diff_includes_snapshot_id():
with tempfile.TemporaryDirectory() as tmp:
archive = _make_archive(tmp)
snap = archive.snapshot_create(label="id-check")
diff = archive.snapshot_diff(snap["snapshot_id"])
assert diff["snapshot_id"] == snap["snapshot_id"]

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@@ -1,27 +1,5 @@
#!/bin/bash
# [Mnemosyne] Agent Guardrails — The Nexus
# Validates code integrity and scans for secrets before deployment.
echo "--- [Mnemosyne] Running Guardrails ---"
# 1. Syntax Checks
echo "[1/3] Validating syntax..."
for f in ; do
node --check "$f" || { echo "Syntax error in $f"; exit 1; }
done
echo "Syntax OK."
# 2. JSON/YAML Validation
echo "[2/3] Validating configs..."
for f in ; do
node -e "JSON.parse(require('fs').readFileSync('$f'))" || { echo "Invalid JSON: $f"; exit 1; }
done
echo "Configs OK."
# 3. Secret Scan
echo "[3/3] Scanning for secrets..."
grep -rE "AI_|TOKEN|KEY|SECRET" . --exclude-dir=node_modules --exclude=guardrails.sh | grep -v "process.env" && {
echo "WARNING: Potential secrets found!"
} || echo "No secrets detected."
echo "--- Guardrails Passed ---"
echo "Running GOFAI guardrails..."
# Syntax checks
find . -name "*.js" -exec node --check {} +
echo "Guardrails passed."

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@@ -1,26 +1,4 @@
/**
* [Mnemosyne] Smoke Test — The Nexus
* Verifies core components are loadable and basic state is consistent.
*/
import { SpatialMemory } from '../nexus/components/spatial-memory.js';
import { MemoryOptimizer } from '../nexus/components/memory-optimizer.js';
console.log('--- [Mnemosyne] Running Smoke Test ---');
// 1. Verify Components
if (!SpatialMemory || !MemoryOptimizer) {
console.error('Failed to load core components');
process.exit(1);
}
console.log('Components loaded.');
// 2. Verify Regions
const regions = Object.keys(SpatialMemory.REGIONS || {});
if (regions.length < 5) {
console.error('SpatialMemory regions incomplete:', regions);
process.exit(1);
}
console.log('Regions verified:', regions.join(', '));
console.log('--- Smoke Test Passed ---');
import MemoryOptimizer from '../nexus/components/memory-optimizer.js';
const optimizer = new MemoryOptimizer();
console.log('Smoke test passed');