Alexander Whitestone
cc1264140c
feat(mnemosyne): implement discover() — serendipitous entry exploration ( #1271 )
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- Added discover() method to archive.py (probabilistic, vitality-weighted)
- Added cmd_discover CLI handler with subparser
- Supports: -n COUNT, -t TOPIC, --vibrant flag
- prefer_fading=True surfaces neglected entries
2026-04-15 21:24:00 -04:00
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
446ec370c8
feat: add shortest_path and path_explanation to MnemosyneArchive
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BFS-based pathfinding between memories through the connection graph.
Enables 'how is X related to Y?' queries across the holographic archive.
2026-04-12 08:22:53 +00:00
b52c7281f0
[claude] Mnemosyne: memory consolidation — auto-merge duplicates ( #1260 ) ( #1262 )
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2026-04-12 06:24:24 +00:00
17e714c9d2
feat(mnemosyne): add memory decay system to MnemosyneArchive
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Part of #1258 .
- touch(entry_id): record access, boost vitality
- get_vitality(entry_id): current vitality status
- fading(limit): most neglected entries
- vibrant(limit): most alive entries
- apply_decay(): decay all entries, persist
- stats() updated with avg_vitality, fading_count, vibrant_count
Decay: exponential with 30-day half-life.
Touch: 0.1 * (1 - current_vitality) — diminishing returns.
2026-04-12 05:42:37 +00:00
bd27cd4bf5
feat: archive.py uses embedding backend for semantic search
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- MnemosyneArchive.__init__ accepts optional EmbeddingBackend
- Auto-detects best backend via get_embedding_backend()
- semantic_search uses embedding cosine similarity when available
- Falls back to Jaccard token similarity gracefully
2026-04-12 05:06:00 +00:00
b3939179b9
[claude] Add temporal query methods: by_date_range and temporal_neighbors ( #1244 ) ( #1246 )
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2026-04-12 01:03:50 +00:00
a14bf80631
[claude] Mnemosyne entry update + content deduplication ( #1239 ) ( #1241 )
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2026-04-11 23:44:57 +00:00
217ffd7147
[claude] Mnemosyne tag management — add, remove, replace topics ( #1236 ) ( #1238 )
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2026-04-11 23:34:25 +00:00
09ccf52645
Merge pull request '[Mnemosyne] Graph cluster analysis — clusters, hubs, bridges, rebuild' ( #1234 ) from feat/mnemosyne-graph-clusters into main
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Merge PR #1234 : [Mnemosyne] Graph cluster analysis — clusters, hubs, bridges, rebuild
2026-04-11 23:16:29 +00:00
Alexander Whitestone
392c73eb03
feat(mnemosyne): graph cluster analysis — clusters, hubs, bridges, rebuild_links
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- graph_clusters(): BFS connected component discovery with density + topic analysis
- hub_entries(): degree centrality ranking of most connected entries
- bridge_entries(): Tarjan's articulation points — entries that connect clusters
- rebuild_links(): full link recomputation after bulk ingestion
- _build_adjacency(): internal adjacency builder with validation
2026-04-11 18:42:32 -04:00
Alexander Whitestone
a1c038672b
feat(mnemosyne): add graph_data() for 3D constellation export
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Returns {nodes, edges} with live link weights. Supports topic_filter
for subgraph extraction. Edges are deduplicated (bidirectional links
become single undirected edges).
Closes #1232
2026-04-11 18:14:16 -04:00
909a61702e
[claude] Mnemosyne: semantic search via holographic linker similarity ( #1223 ) ( #1225 )
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2026-04-11 20:19:52 +00:00
038346b8a9
[claude] Mnemosyne: export, deletion, and richer stats ( #1218 ) ( #1220 )
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2026-04-11 18:50:29 +00:00
b9f1602067
merge: Mnemosyne Phase 1 — Living Holographic Archive
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Co-authored-by: Alexander Whitestone <alexander@alexanderwhitestone.com >
Co-committed-by: Alexander Whitestone <alexander@alexanderwhitestone.com >
2026-04-11 12:10:14 +00:00
