jp
247744296d
Three new tests cover the marker contract: - test_fix_blob_seq_ids_writes_marker_after_blob_path — marker is written after a successful BLOB → INTEGER conversion. - test_fix_blob_seq_ids_writes_marker_when_already_integer — marker is written even on a no-op (already-INTEGER) path. The point of the marker is to skip sqlite3.connect() on subsequent calls, not to record that a conversion happened. - test_fix_blob_seq_ids_skips_sqlite_when_marker_present — verifies the load-bearing property via monkeypatched sqlite3.connect: when the marker exists, the function never opens sqlite. This is the bug #1090 fix — opening Python's sqlite3 against a live ChromaDB 1.5.x WAL DB corrupts the next PersistentClient call, and we must never do it again post-migration. Also folded in @igorls's style nit: - Path(marker).touch() instead of open(marker, "a").close(). Same effect, reads cleaner. Moved Path import to the top of the module since it didn't yet exist there. 35/35 backend tests pass. The "Production: fresh MCP server + stop hook + mempalace mine subprocess" checkbox in the PR body is checked in the PR reply — the canonical 151K palace has been running this fix since #1177 was filed (via Syncthing-replicated source on the disks daemon at v1.7.0); zero PersistentClient corruption since. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
mempalace/ — Core Package
The Python package that powers MemPalace. All modules, all logic.
Modules
| Module | What it does |
|---|---|
cli.py |
CLI entry point — routes to mine, search, init, compress, wake-up |
config.py |
Configuration loading — ~/.mempalace/config.json, env vars, defaults |
normalize.py |
Converts 5 chat formats (Claude Code JSONL, Claude.ai JSON, ChatGPT JSON, Slack JSON, plain text) to standard transcript format |
miner.py |
Project file ingest — scans directories, chunks by paragraph, stores to ChromaDB |
convo_miner.py |
Conversation ingest — chunks by exchange pair (Q+A), detects rooms from content |
searcher.py |
Semantic search via ChromaDB vectors — filters by wing/room, returns verbatim + scores |
layers.py |
4-layer memory stack: L0 (identity), L1 (critical facts), L2 (room recall), L3 (deep search) |
dialect.py |
AAAK compression — entity codes, emotion markers, 30x lossless ratio |
knowledge_graph.py |
Temporal entity-relationship graph — SQLite, time-filtered queries, fact invalidation |
palace_graph.py |
Room-based navigation graph — BFS traversal, tunnel detection across wings |
mcp_server.py |
MCP server — 19 tools, AAAK auto-teach, Palace Protocol, agent diary |
onboarding.py |
Guided first-run setup — asks about people/projects, generates AAAK bootstrap + wing config |
entity_registry.py |
Entity code registry — maps names to AAAK codes, handles ambiguous names |
entity_detector.py |
Auto-detect people and projects from file content |
general_extractor.py |
Classifies text into 5 memory types (decision, preference, milestone, problem, emotional) |
room_detector_local.py |
Maps folders to room names using 70+ patterns — no API |
spellcheck.py |
Name-aware spellcheck — won't "correct" proper nouns in your entity registry |
split_mega_files.py |
Splits concatenated transcript files into per-session files |
Architecture
User → CLI → miner/convo_miner → ChromaDB (palace)
↕
knowledge_graph (SQLite)
↕
User → MCP Server → searcher → results
→ kg_query → entity facts
→ diary → agent journal
The palace (ChromaDB) stores verbatim content. The knowledge graph (SQLite) stores structured relationships. The MCP server exposes both to any AI tool.