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Project Mnemosyne: Living Holographic Archive — Phase 1 Foundation #1216

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opened 2026-04-11 09:50:36 +00:00 by Rockachopa · 2 comments
Rockachopa commented 2026-04-11 09:50:36 +00:00
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Project Mnemosyne — The Living Holographic Archive

Vision

Build a holographic memory layer on top of the existing MemPalace infrastructure. Mnemosyne transforms raw memory entries into interconnected meaning — a living archive that grows, cross-references, and surfaces relevant context autonomously.

Scope (Phase 1: Foundation)

  • nexus/mnemosyne/ module with core archive class
  • Ingestion pipeline: raw events → structured archive entries with metadata
  • Holographic linking: entries auto-reference related entries via semantic similarity
  • Query API: retrieve by topic, time range, similarity, or free-text
  • Integration with existing MemPalace searcher (nexus.mempalace.search_memories)
  • CLI commands: mnemosyne ingest, mnemosyne search, mnemosyne link

Architecture

nexus/mnemosyne/
├── __init__.py          # Public API
├── archive.py           # MnemosyneArchive — core class
├── entry.py             # ArchiveEntry dataclass
├── linker.py            # Holographic link engine (semantic similarity)
├── ingest.py            # Ingestion from MemPalace, events, files
└── cli.py               # CLI interface

References

  • MemPalace: nexus/mempalace/ (existing vector memory)
  • MemPalace rooms taxonomy: mempalace/rooms.yaml
## Project Mnemosyne — The Living Holographic Archive ### Vision Build a holographic memory layer on top of the existing MemPalace infrastructure. Mnemosyne transforms raw memory entries into interconnected meaning — a living archive that grows, cross-references, and surfaces relevant context autonomously. ### Scope (Phase 1: Foundation) - `nexus/mnemosyne/` module with core archive class - Ingestion pipeline: raw events → structured archive entries with metadata - Holographic linking: entries auto-reference related entries via semantic similarity - Query API: retrieve by topic, time range, similarity, or free-text - Integration with existing MemPalace searcher (`nexus.mempalace.search_memories`) - CLI commands: `mnemosyne ingest`, `mnemosyne search`, `mnemosyne link` ### Architecture ``` nexus/mnemosyne/ ├── __init__.py # Public API ├── archive.py # MnemosyneArchive — core class ├── entry.py # ArchiveEntry dataclass ├── linker.py # Holographic link engine (semantic similarity) ├── ingest.py # Ingestion from MemPalace, events, files └── cli.py # CLI interface ``` ### References - MemPalace: `nexus/mempalace/` (existing vector memory) - MemPalace rooms taxonomy: `mempalace/rooms.yaml`
Rockachopa commented 2026-04-11 09:50:48 +00:00
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Claiming this issue. Building Phase 1: core archive, entry model, linker, ingestion, and CLI.

Claiming this issue. Building Phase 1: core archive, entry model, linker, ingestion, and CLI.
Timmy was assigned by Rockachopa 2026-04-11 09:50:49 +00:00
Rockachopa commented 2026-04-11 09:52:42 +00:00
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Implementation Complete

PR: #1217

Phase 1 deliverables:

  • ArchiveEntry dataclass (node model)
  • HolographicLinker (Jaccard similarity + auto-linking)
  • MnemosyneArchive (JSON storage + keyword search + graph traversal)
  • Ingestion pipeline (MemPalace + raw events)
  • CLI: mnemosyne stats/search/ingest/link
  • Unit tests
## Implementation Complete PR: #1217 Phase 1 deliverables: - `ArchiveEntry` dataclass (node model) - `HolographicLinker` (Jaccard similarity + auto-linking) - `MnemosyneArchive` (JSON storage + keyword search + graph traversal) - Ingestion pipeline (MemPalace + raw events) - CLI: `mnemosyne stats/search/ingest/link` - Unit tests
Timmy closed this issue 2026-04-11 12:10:16 +00:00
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