bensig
102372b179
Restore-integrity release. Unbreaks fresh `pip install mempalace` from v3.3.2 by re-tagging current develop, which carries both the plugin.json consumer (shipped in 3.3.2) and the matching mempalace-mcp entry point in pyproject.toml (added on develop ~10h after the 3.3.2 tag via #340 by @messelink). #1093 diagnosed by @jphein. Bumps (all 5 sources agree per Version Guard / CLAUDE.md): - mempalace/version.py 3.3.2 → 3.3.3 - pyproject.toml 3.3.2 → 3.3.3 - .claude-plugin/plugin.json 3.3.2 → 3.3.3 - .claude-plugin/marketplace.json 3.3.2 → 3.3.3 - .codex-plugin/plugin.json 3.3.2 → 3.3.3 - CHANGELOG.md new [3.3.3] entry No code changes. The fix for #1093 is already on develop via merged PRs #340, #1021, #851, #942, #833, #673, #661, #659, #1097, #1051, #1001, #945. Branch name intentionally outside the `release/*` ruleset so follow-up CI-fix commits aren't gated behind a nested PR. (Supersedes #1143 — closed for exactly that reason after it missed 3 of 5 version files.) Smoke-tested locally from a fresh develop clone: grep mempalace-mcp pyproject.toml .claude-plugin/plugin.json # both ✓ python -m build --wheel # ✓ pip install …-py3-none-any.whl # ✓ which mempalace-mcp # ✓ mempalace-mcp --help # ✓
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.