4aa7e1eebde36d44e86f284259c79346d2d4905e
8 Commits
| Author | SHA1 | Message | Date | |
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 Igor Lins e Silva
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4aa7e1eebd |
release: v3.3.0 (#839)
* fix: add file-level locking to prevent multi-agent duplicate drawers
Root cause: when multiple agents mine simultaneously, both pass
file_already_mined() check, both delete+insert the same file's
drawers, creating duplicates or losing data.
Fix: mine_lock() in palace.py — cross-platform file lock (fcntl on
Unix, msvcrt on Windows). Both miner.py and convo_miner.py now lock
per-file during the delete+insert cycle and re-check after acquiring
the lock.
Tested:
- Lock acquires and releases correctly
- Second agent blocks until first releases (0.25s wait)
- 33/33 existing tests pass
- Cross-platform: fcntl (macOS/Linux), msvcrt (Windows)
Based on v3.2.0 tag.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: strip system tags, hook output, and Claude UI chrome from drawers
normalize.py now strips before filing:
- <system-reminder>, <command-message>, <command-name> tags
- <task-notification>, <user-prompt-submit-hook>, <hook_output> tags
- Hook status messages (CURRENT TIME, Checking verified facts, etc.)
- Claude Code UI chrome (ctrl+o to expand, progress bars, etc.)
- Collapsed runs of blank lines
This noise was going straight into drawers, wasting storage space
and polluting search results. strip_noise() runs on all normalized
output regardless of input format (JSONL, JSON, plain text).
689/689 tests pass.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: add closet layer — searchable index pointing to drawers
The closet architecture was always part of MemPalace's design but
never shipped in the public codebase. This adds it.
Palace now has TWO collections:
- mempalace_drawers — full verbatim content (unchanged)
- mempalace_closets — compact AAAK-style index entries
How it works:
- When mining, each file gets a closet alongside its drawers
- Closet contains extracted topics, entities, quotes as pointers
- Closets pack up to 1500 chars, topics never split mid-entry
- Search hits closets first (fast, small), then hydrates the
full drawer content for matching files
- Falls back to direct drawer search if no closets exist yet
Files changed:
- palace.py: get_closets_collection(), build_closet_text(),
upsert_closet(), CLOSET_CHAR_LIMIT
- miner.py: process_file() now creates closets after drawers
- searcher.py: search_memories() tries closet-first search,
hydrates drawers, falls back to direct search
Backwards compatible — existing palaces without closets continue
to work via the fallback path. Closets are created on next mine.
689/689 tests pass.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* fix: enforce atomic topics in closets, extract richer pointers
- upsert_closet replaced by upsert_closet_lines: checks each topic
line individually against CLOSET_CHAR_LIMIT. If adding one line
WHOLE would exceed the limit, starts a new closet. Never splits
mid-topic.
- build_closet_lines returns a list of atomic lines (not joined text)
- Richer extraction: section headers, more action verbs, up to 3
quotes, up to 12 topics per file
- Each line is complete: topic|entities|→drawer_refs
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* docs: add CLOSETS.md — closet layer overview
Cherry-picked the docs portion of 67e4ac6 to accompany the closet
feature. Test coverage for closets is omnibus with tests for entity
metadata and BM25 (see PR targeting those features) and will land
together in a follow-up.
Co-Authored-By: MSL <232237854+milla-jovovich@users.noreply.github.com>
* feat: entity metadata + diary ingest + BM25 hybrid search
Three features that close the gap between the architecture docs
and the actual codebase:
1. Entity metadata on drawers and closets
- _extract_entities_for_metadata() pulls names from known_entities.json
+ proper nouns appearing 2+ times
- Stamped as "entities" field in ChromaDB metadata
- Enables filterable search by person/project name
2. Day-based diary ingest (diary_ingest.py)
- ONE drawer per day, upserted as the day grows
- Closets pack topics atomically, never split mid-topic
- Tracks entry count in state file, only processes new entries
- Usage: python -m mempalace.diary_ingest --dir ~/summaries
3. BM25 hybrid search in searcher.py
- _bm25_score() keyword matching complements vector similarity
- _hybrid_rank() combines both signals (60% vector, 40% BM25)
- Catches exact name/term matches that embeddings miss
- Applied to both closet-first and direct drawer search paths
689/689 tests pass.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* test: add tests for mine_lock, closets, entity metadata, BM25, diary
Trimmed version of Milla's omnibus test_closets.py to only cover
features present in this PR stack (#784 lock, #788 closets, this
PR's entity/BM25/diary). Strip-noise tests will land with #785;
tunnel tests will land with the tunnels PR.
16/16 pass.
Co-Authored-By: MSL <232237854+milla-jovovich@users.noreply.github.com>
* feat: explicit cross-wing tunnels for multi-project agents
Adds active tunnel creation alongside passive tunnel discovery.
Passive tunnels (existing): rooms with the same name across wings.
Explicit tunnels (new): agent-created links between specific
locations. "This API design in project_api relates to the database
schema in project_database."
New functions in palace_graph.py:
- create_tunnel() — link two wing/room pairs with a label
- list_tunnels() — list all explicit tunnels, filter by wing
- delete_tunnel() — remove a tunnel by ID
- follow_tunnels() — from a room, find all connected rooms in
other wings with drawer content previews
New MCP tools:
- mempalace_create_tunnel
- mempalace_list_tunnels
- mempalace_delete_tunnel
- mempalace_follow_tunnels
Tunnels stored in ~/.mempalace/tunnels.json (persists across
palace rebuilds). Deduplicated by endpoint pair.
689/689 tests pass.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* test: add TestTunnels for cross-wing tunnel operations
Appended from Milla's omnibus test_closets.py — covers create,
list, delete, dedup, and follow_tunnels behavior. 21/21 pass.
Co-Authored-By: MSL <232237854+milla-jovovich@users.noreply.github.com>
* feat(search): drawer-grep returns best-matching chunk + neighbors
When a closet hit leads to a source file with many drawers, grep each
chunk for query terms and return the BEST-MATCHING chunk + 1 neighbor
on each side, instead of dumping the whole file truncated at
MAX_HYDRATION_CHARS. Result now includes drawer_index and
total_drawers so callers can request adjacent drawers explicitly.
Extracted from Milla's commit 935f657 which bundled drawer-grep with
closet_llm (deferred pending LLM_ENDPOINT refactor) and fact_checker
(separate PR). Ported only the searcher.py change.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: offline fact checker against entity registry + knowledge graph
fact_checker.py verifies text for contradictions against locally stored
entities and KG facts. Catches similar-name confusion (Bob vs Bobby),
relationship mismatches (KG says husband, text says brother), and
stale facts (KG valid_from/valid_to).
No hardcoded facts. No network calls. Reads:
- ~/.mempalace/known_entities.json
- KnowledgeGraph SQLite
Usage:
from mempalace.fact_checker import check_text
issues = check_text("Bob is Alice's brother", palace_path)
# CLI
python -m mempalace.fact_checker "text" --palace ~/.mempalace/palace
Extracted from Milla's commit 935f657 which bundled this with
closet_llm (deferred) and drawer-grep (PR #791). Ported only
fact_checker.py — verified no network / API imports.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* feat: optional LLM-based closet regeneration — bring-your-own endpoint
Adds mempalace/closet_llm.py as an OPTIONAL path for richer closet
generation. Regex closets remain the default and cover the local-first
promise; users who want LLM-quality topics can bring their own endpoint.
Configuration (env or CLI flag):
LLM_ENDPOINT — OpenAI-compatible base URL (required)
LLM_KEY — bearer token (optional; local inference skips this)
LLM_MODEL — model name (required)
Works with Ollama, vLLM, llama.cpp servers, OpenAI, OpenRouter, and any
other provider that speaks OpenAI-compatible /chat/completions. Zero new
dependencies — uses stdlib urllib.
Replaces the original Anthropic-SDK-hardcoded version of this module
from Milla's branch (commit 935f657). Same prompt, same parsing, same
regenerate_closets flow; only the transport was generalised so the
feature doesn't lock users into a specific vendor or require API keys
for core memory operations (CLAUDE.md, "Local-first, zero API").
Includes 13 unit tests covering config resolution, request shape,
auth-header omission when no key is set, code-fence stripping, and
missing-config error path. All mocked — zero network calls in tests.
Co-Authored-By: MSL <232237854+milla-jovovich@users.noreply.github.com>
* fix(search): hybrid closet+drawer retrieval — closets boost, never gate (#795)
* Fix: set cosine distance metadata on all collection creation sites
ChromaDB defaults HNSW index to L2 (Euclidean) distance, but
MemPalace scoring uses 1-distance which requires cosine (range 0-2).
Add metadata={"hnsw:space": "cosine"} to the 4 production and 3 test
call sites that were missing it.
Closes #218
* fix: sync version.py to 3.2.0
Commit
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Mikhail Valentsev
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a2432a3245 |
fix: parse Claude.ai privacy export with messages key and sender field (#677) (#685)
* fix: parse Claude.ai privacy export with messages key and sender field (#677) The privacy-export branch in _try_claude_ai_json only checked for the "chat_messages" key, missing exports that use "messages" instead. It also only read the "role" field while real privacy exports use "sender". Both gaps caused the file to fall through to plain-text, producing a single giant drawer. Changes: - Accept "messages" alongside "chat_messages" in the conversation-object guard and inner extraction. - Accept "sender" alongside "role" as the author field. - Fall back to a top-level "text" key when content blocks are empty. - Produce one transcript per conversation instead of concatenating all conversations into a single blob. - Extract shared logic into _collect_claude_messages helper. - Add 6 regression tests covering each variant. * style: apply ruff format to normalize.py * fix: guard against null text field in Claude.ai export parsing item.get("text", "").strip() crashes when "text" is explicitly null in the JSON (legal and observed in some exports). Use (item.get("text") or "").strip() and add a regression test. --------- Co-authored-by: Igor Lins e Silva <4753812+igorls@users.noreply.github.com> |
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Ben Sigman
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4621f85d7c | style: ruff format all Python files (#675) | ||
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Ben Sigman
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20c8f8e57b |
feat: new MCP tools — get/list/update drawer, hook settings, export (resolves #635) (#667)
* feat: MCP reliability — inode detection, WAL rotation, metadata cache, search limits Infrastructure hardening for the MCP server: - Detect palace DB replacement via inode tracking (repair command support) - WAL rotation to prevent unbounded WAL growth - _fetch_all_metadata() + _get_cached_metadata() with 60s TTL for taxonomy/status - _MAX_RESULTS cap (100) with limit clamping [1, _MAX_RESULTS] - max_distance parameter for similarity threshold in search - Handle all notifications/* methods, null arguments, method=None - Remove duplicate _client_cache = None declarations - searcher.py max_distance parameter passthrough Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * feat: new MCP tools (get/list/update drawer, hook settings, memories filed), export, normalize New MCP tools: - mempalace_get_drawer: fetch single drawer by ID with full content - mempalace_list_drawers: paginated listing with wing/room filter - mempalace_update_drawer: update content/wing/room on existing drawers - mempalace_hook_settings: get/set hook behavior (silent_save, desktop_toast) - mempalace_memories_filed_away: check latest checkpoint status Also includes: - exporter.py: export palace as browsable markdown files - normalize.py: tool_use/tool_result capture for richer transcript mining - layers.py: updated for new tool integration - config.py: hook settings properties (hook_silent_save, hook_desktop_toast) Depends on PR 3 (reliability) for _MAX_RESULTS, _metadata_cache, WAL logging. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: normalize.py handles string messages and Read offset type mismatch Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: params null guard, L2→cosine docs, empty tool_use_map key guard - Handle explicit null in MCP params (request.get("params") or {}) - Fix search tool description: L2 → cosine distance (collection uses hnsw:space=cosine) - Guard against empty string key in tool_use_map from malformed JSONL entries Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: rename ambiguous var 'l' to 'line' (E741 lint) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> * fix: address code review findings (5 issues) 1. min_similarity backwards-compat: convert similarity to distance scale (1.0 - similarity) instead of passing raw value as max_distance 2. Restore structured error reporting (error + partial fields) in tool_status, tool_list_wings, tool_list_rooms, tool_get_taxonomy — reverts silent except:pass that dropped #647 security hardening 3. inode cache: remove falsy-zero short-circuit so missing DB file triggers reconnect instead of reusing stale client 4. _fetch_all_metadata: check for empty batch before extending/advancing offset to prevent infinite loop on concurrent deletion 5. KG initialization: only override path when --palace is explicit; default runs use KnowledgeGraph's built-in default path Co-authored-by: jphein <jphein@users.noreply.github.com> --------- Co-authored-by: jp <jp@jphein.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com> Co-authored-by: jphein <jphein@users.noreply.github.com> |
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bensig
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b1adc047e6 |
fix: address Octocode review — move size check, add tests for all 3 fixes
- Move file size check before try block so IOError propagates cleanly (not caught by the except OSError handler below it) - Wrap os.path.getsize in its own try/except to preserve existing test_normalize_io_error behavior on missing files - Add test_normalize_rejects_large_file (mocked getsize) - Add test_null_arguments_does_not_hang (#394) - Add test_cmd_repair_trailing_slash_does_not_recurse (#395) 532 tests pass locally, 0 regressions. |
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Tal Muskal
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9ca70264f3 |
style: format test files with ruff
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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Tal Muskal
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e24d8ca733 |
test: expand coverage to 70%, fix mcp_server CI crash (threshold 60%)
Add/expand tests for normalize (39%→97%), searcher (39%→100%), layers (28%→97%), split_mega_files (34%→72%). Fix mcp_server.py parse_args→parse_known_args to prevent SystemExit when imported during pytest (CI was crashing on all test jobs). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> |
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bensig
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0f8fa8c7d5 |
bench: add benchmark runners, results docs, and test suite
Benchmarks: LongMemEval, LoCoMo, ConvoMem, MemBench runners with methodology docs and hybrid retrieval analysis. Tests: config, miner, convo_miner, normalize — 9 tests, all passing. |