chore(release): 0.11.0 [skip ci]

Signed-off-by: phernandez <paul@basicmachines.co>

CHANGELOG.md

@@ -1,6 +1,43 @@
 # CHANGELOG
 
 
+## v0.11.0 (2025-03-29)
+
+### Bug Fixes
+
+- Just delete db for reset db instead of using migrations.
+  ([#65](https://github.com/basicmachines-co/basic-memory/pull/65),
+  [`0743ade`](https://github.com/basicmachines-co/basic-memory/commit/0743ade5fc07440f95ecfd816ba7e4cfd74bca12))
+
+Signed-off-by: phernandez <paul@basicmachines.co>
+
+- Make logs for each process - mcp, sync, cli
+  ([#64](https://github.com/basicmachines-co/basic-memory/pull/64),
+  [`f1c9570`](https://github.com/basicmachines-co/basic-memory/commit/f1c95709cbffb1b88292547b0b8f29fcca22d186))
+
+Signed-off-by: phernandez <paul@basicmachines.co>
+
+### Documentation
+
+- Update broken "Multiple Projects" link in README.md
+  ([#55](https://github.com/basicmachines-co/basic-memory/pull/55),
+  [`3c68b7d`](https://github.com/basicmachines-co/basic-memory/commit/3c68b7d5dd689322205c67637dca7d188111ee6b))
+
+### Features
+
+- Add bm command alias for basic-memory
+  ([#67](https://github.com/basicmachines-co/basic-memory/pull/67),
+  [`069c0a2`](https://github.com/basicmachines-co/basic-memory/commit/069c0a21c630784e1bf47d2b7de5d6d1f6fadd7a))
+
+Signed-off-by: phernandez <paul@basicmachines.co>
+
+- Rename search tool to search_notes
+  ([#66](https://github.com/basicmachines-co/basic-memory/pull/66),
+  [`b278276`](https://github.com/basicmachines-co/basic-memory/commit/b27827671dc010be3e261b8b221aca6b7f836661))
+
+Signed-off-by: phernandez <paul@basicmachines.co>
+
+
 ## v0.10.1 (2025-03-25)
 
 ### Bug Fixes

CLAUDE.md

@@ -107,7 +107,7 @@ See the [README.md](README.md) file for a project overview.
       1d", "1 week")
 
   **Search & Discovery:**
-    - `search(query, page, page_size)` - Full-text search across all content with filtering options
+    - `search_notes(query, page, page_size)` - Full-text search across all content with filtering options
 
   **Visualization:**
     - `canvas(nodes, edges, title, folder)` - Generate Obsidian canvas files for knowledge graph visualization
@@ -115,7 +115,7 @@ See the [README.md](README.md) file for a project overview.
 - MCP Prompts for better AI interaction:
     - `ai_assistant_guide()` - Guidance on effectively using Basic Memory tools for AI assistants
     - `continue_conversation(topic, timeframe)` - Continue previous conversations with relevant historical context
-    - `search(query, after_date)` - Search with detailed, formatted results for better context understanding
+    - `search_notes(query, after_date)` - Search with detailed, formatted results for better context understanding
     - `recent_activity(timeframe)` - View recently changed items with formatted output
     - `json_canvas_spec()` - Full JSON Canvas specification for Obsidian visualization
 

README.md

@@ -285,7 +285,8 @@ for OS X):
 }
 ```
 
-If you want to use a specific project (see [Multiple Projects](#multiple-projects) below), update your Claude Desktop
+If you want to use a specific project (see [Multiple Projects](docs/User%20Guide.md#multiple-projects)), update your
+Claude Desktop
 config:
 
 ```json
@@ -320,7 +321,7 @@ basic-memory sync --watch
 write_note(title, content, folder, tags) - Create or update notes
 read_note(identifier, page, page_size) - Read notes by title or permalink
 build_context(url, depth, timeframe) - Navigate knowledge graph via memory:// URLs
-search(query, page, page_size) - Search across your knowledge base
+search_notes(query, page, page_size) - Search across your knowledge base
 recent_activity(type, depth, timeframe) - Find recently updated information
 canvas(nodes, edges, title, folder) - Generate knowledge visualizations
 ```
@@ -361,4 +362,4 @@ and submitting PRs.
  </picture>
 </a>
 
-Built with ♥️ by Basic Machines
+Built with ♥️ by Basic Machines

docs/AI Assistant Guide.md

@@ -53,7 +53,7 @@ content = await read_note("specs/search-design")       # By path
 content = await read_note("memory://specs/search")     # By memory URL
 
 # Searching for knowledge
-results = await search(
+results = await search_notes(
     query="authentication system",      # Text to search for
     page=1,                             # Optional: Pagination
     page_size=10                        # Optional: Results per page
@@ -154,7 +154,7 @@ Users will interact with Basic Memory in patterns like:
    Human: "What were our decisions about auth?"
    
    You: Let me find that information for you.
-   [Use search() to find relevant notes]
+   [Use search_notes() to find relevant notes]
    [Then build_context() to understand connections]
    ```
 
@@ -251,7 +251,7 @@ When creating relations, you can:
 # Example workflow for creating notes with effective relations
 async def create_note_with_effective_relations():
     # Search for existing entities to reference
-    search_results = await search("travel")
+    search_results = await search_notes("travel")
     existing_entities = [result.title for result in search_results.primary_results]
     
     # Check if specific entities exist
@@ -323,7 +323,7 @@ Common issues to watch for:
        content = await read_note("Document")
    except:
        # Try search instead
-       results = await search("Document")
+       results = await search_notes("Document")
        if results and results.primary_results:
            # Found something similar
            content = await read_note(results.primary_results[0].permalink)
@@ -369,7 +369,7 @@ Common issues to watch for:
    - **Create deliberate relations**: Connect each note to at least 2-3 related entities
    - **Use existing entities**: Before creating a new relation, search for existing entities
    - **Verify wikilinks**: When referencing `[[Entity]]`, use exact titles of existing notes
-   - **Check accuracy**: Use `search()` or `recent_activity()` to confirm entity titles
+   - **Check accuracy**: Use `search_notes()` or `recent_activity()` to confirm entity titles
    - **Use precise relation types**: Choose specific relation types that convey meaning (e.g., "implements" instead of "relates_to")
    - **Consider bidirectional relations**: When appropriate, create inverse relations in both entities
 

docs/Technical Information.md

@@ -196,7 +196,7 @@ flowchart TD
     end
     
     BMCP <-->|"write_note() read_note()"| KnowledgeFiles
-    BMCP <-->|"search() build_context()"| KnowledgeIndex
+    BMCP <-->|"search_notes() build_context()"| KnowledgeIndex
     KnowledgeFiles <-.->|Sync Process| KnowledgeIndex
     KnowledgeFiles <-->|Direct Editing| Editors((Text Editors & Git))
     

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "basic-memory"
-version = "0.10.1"
+version = "0.11.0"
 description = "Local-first knowledge management combining Zettelkasten with knowledge graphs"
 readme = "README.md"
 requires-python = ">=3.12.1"
@@ -40,6 +40,7 @@ Documentation = "https://github.com/basicmachines-co/basic-memory#readme"
 
 [project.scripts]
 basic-memory = "basic_memory.cli.main:app"
+bm = "basic_memory.cli.main:app"
 
 [build-system]
 requires = ["hatchling"]

src/basic_memory/__init__.py

@@ -1,3 +1,3 @@
 """basic-memory - Local-first knowledge management combining Zettelkasten with knowledge graphs"""
 
-__version__ = "0.10.1"
+__version__ = "0.11.0"

src/basic_memory/cli/commands/db.py

@@ -1,10 +1,13 @@
 """Database management commands."""
 
+import asyncio
+
 import typer
 from loguru import logger
 
-from basic_memory.alembic import migrations
+from basic_memory import db
 from basic_memory.cli.app import app
+from basic_memory.config import config
 
 
 @app.command()
@@ -14,7 +17,17 @@ def reset(
     """Reset database (drop all tables and recreate)."""
     if typer.confirm("This will delete all data in your db. Are you sure?"):
         logger.info("Resetting database...")
-        migrations.reset_database()
+        # Get database path
+        db_path = config.database_path
+
+        # Delete the database file if it exists
+        if db_path.exists():
+            db_path.unlink()
+            logger.info(f"Database file deleted: {db_path}")
+
+        # Create a new empty database
+        asyncio.run(db.run_migrations(config))
+        logger.info("Database reset complete")
 
         if reindex:
             # Import and run sync

src/basic_memory/cli/commands/tool.py

@@ -12,7 +12,7 @@ from basic_memory.cli.app import app
 from basic_memory.mcp.tools import build_context as mcp_build_context
 from basic_memory.mcp.tools import read_note as mcp_read_note
 from basic_memory.mcp.tools import recent_activity as mcp_recent_activity
-from basic_memory.mcp.tools import search as mcp_search
+from basic_memory.mcp.tools import search_notes as mcp_search
 from basic_memory.mcp.tools import write_note as mcp_write_note
 
 # Import prompts
@@ -180,8 +180,8 @@ def recent_activity(
         raise
 
 
-@tool_app.command()
-def search(
+@tool_app.command("search-notes")
+def search_notes(
     query: str,
     permalink: Annotated[bool, typer.Option("--permalink", help="Search permalink values")] = False,
     title: Annotated[bool, typer.Option("--title", help="Search title values")] = False,

src/basic_memory/config.py

@@ -5,12 +5,13 @@ import os
 from pathlib import Path
 from typing import Any, Dict, Literal, Optional
 
-import basic_memory
-from basic_memory.utils import setup_logging
 from loguru import logger
 from pydantic import Field, field_validator
 from pydantic_settings import BaseSettings, SettingsConfigDict
 
+import basic_memory
+from basic_memory.utils import setup_logging
+
 DATABASE_NAME = "memory.db"
 DATA_DIR_NAME = ".basic-memory"
 CONFIG_FILE_NAME = "config.json"
@@ -213,11 +214,45 @@ user_home = Path.home()
 log_dir = user_home / DATA_DIR_NAME
 log_dir.mkdir(parents=True, exist_ok=True)
 
-setup_logging(
-    env=config.env,
-    home_dir=user_home,  # Use user home for logs
-    log_level=config.log_level,
-    log_file=f"{DATA_DIR_NAME}/basic-memory.log",
-    console=False,
-)
-logger.info(f"Starting Basic Memory {basic_memory.__version__} (Project: {config.project})")
+
+def get_process_name():  # pragma: no cover
+    """
+    get the type of process for logging
+    """
+    import sys
+
+    if "sync" in sys.argv:
+        return "sync"
+    elif "mcp" in sys.argv:
+        return "mcp"
+    else:
+        return "cli"
+
+
+process_name = get_process_name()
+
+# Global flag to track if logging has been set up
+_LOGGING_SETUP = False
+
+def setup_basic_memory_logging():  # pragma: no cover
+    """Set up logging for basic-memory, ensuring it only happens once."""
+    global _LOGGING_SETUP
+    if _LOGGING_SETUP:
+        # We can't log before logging is set up
+        # print("Skipping duplicate logging setup")
+        return
+
+    setup_logging(
+        env=config.env,
+        home_dir=user_home,  # Use user home for logs
+        log_level=config.log_level,
+        log_file=f"{DATA_DIR_NAME}/basic-memory-{process_name}.log",
+        console=False,
+    )
+
+    logger.info(f"Starting Basic Memory {basic_memory.__version__} (Project: {config.project})")
+    _LOGGING_SETUP = True
+
+
+# Set up logging
+setup_basic_memory_logging()

src/basic_memory/mcp/prompts/continue_conversation.py

@@ -14,7 +14,7 @@ from basic_memory.mcp.prompts.utils import format_prompt_context, PromptContext,
 from basic_memory.mcp.server import mcp
 from basic_memory.mcp.tools.build_context import build_context
 from basic_memory.mcp.tools.recent_activity import recent_activity
-from basic_memory.mcp.tools.search import search
+from basic_memory.mcp.tools.search import search_notes
 from basic_memory.schemas.base import TimeFrame
 from basic_memory.schemas.memory import GraphContext
 from basic_memory.schemas.search import SearchQuery, SearchItemType
@@ -47,7 +47,7 @@ async def continue_conversation(
 
     # If topic provided, search for it
     if topic:
-        search_results = await search(
+        search_results = await search_notes(
             SearchQuery(text=topic, after_date=timeframe, types=[SearchItemType.ENTITY])
         )
 
@@ -93,7 +93,7 @@ async def continue_conversation(
         ## Next Steps
 
         You can:
-        - Explore more with: `search({{"text": "{topic}"}})`
+        - Explore more with: `search_notes({{"text": "{topic}"}})`
         - See what's changed: `recent_activity(timeframe="{timeframe or "7d"}")`
         - **Record new learnings or decisions from this conversation:** `write_note(title="[Create a meaningful title]", content="[Content with observations and relations]")`
         

src/basic_memory/mcp/prompts/search.py

@@ -10,7 +10,7 @@ from loguru import logger
 from pydantic import Field
 
 from basic_memory.mcp.server import mcp
-from basic_memory.mcp.tools.search import search as search_tool
+from basic_memory.mcp.tools.search import search_notes as search_tool
 from basic_memory.schemas.base import TimeFrame
 from basic_memory.schemas.search import SearchQuery, SearchResponse
 
@@ -144,9 +144,9 @@ def format_search_results(
         ## Next Steps
         
         You can:
-        - Refine your search: `search("{query} AND additional_term")`
-        - Exclude terms: `search("{query} NOT exclude_term")`
-        - View more results: `search("{query}", after_date=None)`
+        - Refine your search: `search_notes("{query} AND additional_term")`
+        - Exclude terms: `search_notes("{query} NOT exclude_term")`
+        - View more results: `search_notes("{query}", after_date=None)`
         - Check recent activity: `recent_activity()`
         
         ## Synthesize and Capture Knowledge

src/basic_memory/mcp/resources/ai_assistant_guide.md

@@ -49,7 +49,7 @@ content = await read_note("specs/search-design")  # By path
 content = await read_note("memory://specs/search")  # By memory URL
 
 # Searching for knowledge
-results = await search(
+results = await search_notes(
     query="authentication system",  # Text to search for
     page=1,  # Optional: Pagination
     page_size=10  # Optional: Results per page
@@ -154,7 +154,7 @@ Users will interact with Basic Memory in patterns like:
    Human: "What were our decisions about auth?"
    
    You: Let me find that information for you.
-   [Use search() to find relevant notes]
+   [Use search_notes() to find relevant notes]
    [Then build_context() to understand connections]
    ```
 
@@ -263,7 +263,7 @@ When creating relations, you can:
 # Example workflow for creating notes with effective relations
 async def create_note_with_effective_relations():
     # Search for existing entities to reference
-    search_results = await search("travel")
+    search_results = await search_notes("travel")
     existing_entities = [result.title for result in search_results.primary_results]
 
     # Check if specific entities exist
@@ -335,7 +335,7 @@ Common issues to watch for:
        content = await read_note("Document")
    except:
        # Try search instead
-       results = await search("Document")
+       results = await search_notes("Document")
        if results and results.primary_results:
            # Found something similar
            content = await read_note(results.primary_results[0].permalink)
@@ -381,7 +381,7 @@ Common issues to watch for:
     - **Create deliberate relations**: Connect each note to at least 2-3 related entities
     - **Use existing entities**: Before creating a new relation, search for existing entities
     - **Verify wikilinks**: When referencing `[[Entity]]`, use exact titles of existing notes
-    - **Check accuracy**: Use `search()` or `recent_activity()` to confirm entity titles
+    - **Check accuracy**: Use `search_notes()` or `recent_activity()` to confirm entity titles
     - **Use precise relation types**: Choose specific relation types that convey meaning (e.g., "implements" instead
       of "relates_to")
     - **Consider bidirectional relations**: When appropriate, create inverse relations in both entities

src/basic_memory/mcp/tools/__init__.py

@@ -12,7 +12,7 @@ from basic_memory.mcp.tools.build_context import build_context
 from basic_memory.mcp.tools.recent_activity import recent_activity
 from basic_memory.mcp.tools.read_note import read_note
 from basic_memory.mcp.tools.write_note import write_note
-from basic_memory.mcp.tools.search import search
+from basic_memory.mcp.tools.search import search_notes
 from basic_memory.mcp.tools.canvas import canvas
 
 __all__ = [
@@ -22,6 +22,6 @@ __all__ = [
     "read_content",
     "read_note",
     "recent_activity",
-    "search",
+    "search_notes",
     "write_note",
 ]

src/basic_memory/mcp/tools/read_note.py

@@ -6,7 +6,7 @@ from loguru import logger
 
 from basic_memory.mcp.async_client import client
 from basic_memory.mcp.server import mcp
-from basic_memory.mcp.tools.search import search
+from basic_memory.mcp.tools.search import search_notes
 from basic_memory.mcp.tools.utils import call_get
 from basic_memory.schemas.memory import memory_url_path
 from basic_memory.schemas.search import SearchQuery
@@ -63,7 +63,7 @@ async def read_note(identifier: str, page: int = 1, page_size: int = 10) -> str:
 
     # Fallback 1: Try title search via API
     logger.info(f"Search title for: {identifier}")
-    title_results = await search(SearchQuery(title=identifier))
+    title_results = await search_notes(SearchQuery(title=identifier))
 
     if title_results and title_results.results:
         result = title_results.results[0]  # Get the first/best match
@@ -87,7 +87,7 @@ async def read_note(identifier: str, page: int = 1, page_size: int = 10) -> str:
 
     # Fallback 2: Text search as a last resort
     logger.info(f"Title search failed, trying text search for: {identifier}")
-    text_results = await search(SearchQuery(text=identifier))
+    text_results = await search_notes(SearchQuery(text=identifier))
 
     # We didn't find a direct match, construct a helpful error message
     if not text_results or not text_results.results:

src/basic_memory/mcp/tools/search.py

@@ -11,7 +11,7 @@ from basic_memory.mcp.async_client import client
 @mcp.tool(
     description="Search across all content in the knowledge base.",
 )
-async def search(query: SearchQuery, page: int = 1, page_size: int = 10) -> SearchResponse:
+async def search_notes(query: SearchQuery, page: int = 1, page_size: int = 10) -> SearchResponse:
     """Search across all content in the knowledge base.
 
     This tool searches the knowledge base using full-text search, pattern matching,
@@ -36,34 +36,34 @@ async def search(query: SearchQuery, page: int = 1, page_size: int = 10) -> Sear
 
     Examples:
         # Basic text search
-        results = await search(SearchQuery(text="project planning"))
+        results = await search_notes(SearchQuery(text="project planning"))
 
         # Boolean AND search (both terms must be present)
-        results = await search(SearchQuery(text="project AND planning"))
+        results = await search_notes(SearchQuery(text="project AND planning"))
 
         # Boolean OR search (either term can be present)
-        results = await search(SearchQuery(text="project OR meeting"))
+        results = await search_notes(SearchQuery(text="project OR meeting"))
 
         # Boolean NOT search (exclude terms)
-        results = await search(SearchQuery(text="project NOT meeting"))
+        results = await search_notes(SearchQuery(text="project NOT meeting"))
 
         # Boolean search with grouping
-        results = await search(SearchQuery(text="(project OR planning) AND notes"))
+        results = await search_notes(SearchQuery(text="(project OR planning) AND notes"))
 
         # Search with type filter
-        results = await search(SearchQuery(
+        results = await search_notes(SearchQuery(
             text="meeting notes",
             types=["entity"],
         ))
 
         # Search for recent content
-        results = await search(SearchQuery(
+        results = await search_notes(SearchQuery(
             text="bug report",
             after_date="1 week"
         ))
 
         # Pattern matching on permalinks
-        results = await search(SearchQuery(
+        results = await search_notes(SearchQuery(
             permalink_match="docs/meeting-*"
         ))
     """

static/ai_assistant_guide.md

@@ -49,7 +49,7 @@ content = await read_note("specs/search-design")  # By path
 content = await read_note("memory://specs/search")  # By memory URL
 
 # Searching for knowledge
-results = await search(
+results = await search_notes(
     query="authentication system",  # Text to search for
     page=1,  # Optional: Pagination
     page_size=10  # Optional: Results per page
@@ -154,7 +154,7 @@ Users will interact with Basic Memory in patterns like:
    Human: "What were our decisions about auth?"
    
    You: Let me find that information for you.
-   [Use search() to find relevant notes]
+   [Use search_notes() to find relevant notes]
    [Then build_context() to understand connections]
    ```
 
@@ -263,7 +263,7 @@ When creating relations, you can:
 # Example workflow for creating notes with effective relations
 async def create_note_with_effective_relations():
     # Search for existing entities to reference
-    search_results = await search("travel")
+    search_results = await search_notes("travel")
     existing_entities = [result.title for result in search_results.primary_results]
 
     # Check if specific entities exist
@@ -335,7 +335,7 @@ Common issues to watch for:
        content = await read_note("Document")
    except:
        # Try search instead
-       results = await search("Document")
+       results = await search_notes("Document")
        if results and results.primary_results:
            # Found something similar
            content = await read_note(results.primary_results[0].permalink)
@@ -381,7 +381,7 @@ Common issues to watch for:
     - **Create deliberate relations**: Connect each note to at least 2-3 related entities
     - **Use existing entities**: Before creating a new relation, search for existing entities
     - **Verify wikilinks**: When referencing `[[Entity]]`, use exact titles of existing notes
-    - **Check accuracy**: Use `search()` or `recent_activity()` to confirm entity titles
+    - **Check accuracy**: Use `search_notes()` or `recent_activity()` to confirm entity titles
     - **Use precise relation types**: Choose specific relation types that convey meaning (e.g., "implements" instead
       of "relates_to")
     - **Consider bidirectional relations**: When appropriate, create inverse relations in both entities

tests/cli/test_cli_tools.py

@@ -211,7 +211,7 @@ def test_search_basic(cli_env, setup_test_note):
     """Test basic search command."""
     result = runner.invoke(
         tool_app,
-        ["search", "test observation"],
+        ["search-notes", "test observation"],
     )
     assert result.exit_code == 0
 
@@ -235,7 +235,7 @@ def test_search_permalink(cli_env, setup_test_note):
 
     result = runner.invoke(
         tool_app,
-        ["search", permalink, "--permalink"],
+        ["search-notes", permalink, "--permalink"],
     )
     assert result.exit_code == 0
 

tests/mcp/test_tool_read_note.py

@@ -26,7 +26,7 @@ async def mock_call_get():
 @pytest_asyncio.fixture
 async def mock_search():
     """Mock for search tool."""
-    with patch("basic_memory.mcp.tools.read_note.search") as mock:
+    with patch("basic_memory.mcp.tools.read_note.search_notes") as mock:
         # Default to empty results
         mock.return_value = SearchResponse(results=[], current_page=1, page_size=1)
         yield mock

tests/mcp/test_tool_search.py

@@ -4,7 +4,7 @@ import pytest
 from datetime import datetime, timedelta
 
 from basic_memory.mcp.tools import write_note
-from basic_memory.mcp.tools.search import search
+from basic_memory.mcp.tools.search import search_notes
 from basic_memory.schemas.search import SearchQuery, SearchItemType
 
 
@@ -22,7 +22,7 @@ async def test_search_basic(client):
 
     # Search for it
     query = SearchQuery(text="searchable")
-    response = await search(query)
+    response = await search_notes(query)
 
     # Verify results
     assert len(response.results) > 0
@@ -43,7 +43,7 @@ async def test_search_pagination(client):
 
     # Search for it
     query = SearchQuery(text="searchable")
-    response = await search(query, page=1, page_size=1)
+    response = await search_notes(query, page=1, page_size=1)
 
     # Verify results
     assert len(response.results) == 1
@@ -62,7 +62,7 @@ async def test_search_with_type_filter(client):
 
     # Search with type filter
     query = SearchQuery(text="type", types=[SearchItemType.ENTITY])
-    response = await search(query)
+    response = await search_notes(query)
 
     # Verify all results are entities
     assert all(r.type == "entity" for r in response.results)
@@ -81,7 +81,7 @@ async def test_search_with_date_filter(client):
     # Search with date filter
     one_hour_ago = datetime.now() - timedelta(hours=1)
     query = SearchQuery(text="recent", after_date=one_hour_ago)
-    response = await search(query)
+    response = await search_notes(query)
 
     # Verify we get results within timeframe
     assert len(response.results) > 0

uv.lock

@@ -1,7 +1,8 @@
 version = 1
+revision = 1
 requires-python = ">=3.12.1"
 resolution-markers = [
-    "(platform_machine != 'aarch64' and platform_machine != 'armv7l' and platform_machine != 'i686' and platform_machine != 'ppc64le' and platform_machine != 's390x' and platform_machine != 'x86_64') or (platform_machine == 'aarch64' and sys_platform != 'linux') or (platform_machine == 'armv7l' and sys_platform != 'linux') or (platform_machine == 'i686' and sys_platform != 'linux') or (platform_machine == 'ppc64le' and sys_platform != 'linux') or (platform_machine == 's390x' and sys_platform != 'linux') or (platform_machine == 'x86_64' and sys_platform != 'linux')",
+    "(platform_machine != 'aarch64' and platform_machine != 'armv7l' and platform_machine != 'i686' and platform_machine != 'ppc64le' and platform_machine != 's390x' and platform_machine != 'x86_64') or sys_platform != 'linux'",
     "platform_machine == 'x86_64' and sys_platform == 'linux'",
     "platform_machine == 'i686' and sys_platform == 'linux'",
     "platform_machine == 'aarch64' and sys_platform == 'linux'",
@@ -70,7 +71,7 @@ wheels = [
 
 [[package]]
 name = "basic-memory"
-version = "0.10.0"
+version = "0.10.1"
 source = { editable = "." }
 dependencies = [
     { name = "aiosqlite" },
@@ -170,7 +171,7 @@ name = "cffi"
 version = "1.17.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "pycparser", marker = "(platform_machine != 'aarch64' and platform_machine != 'armv7l' and platform_machine != 'i686' and platform_machine != 'ppc64le' and platform_machine != 's390x' and platform_machine != 'x86_64') or (platform_machine == 'aarch64' and sys_platform != 'linux') or (platform_machine == 'armv7l' and sys_platform != 'linux') or (platform_machine == 'i686' and sys_platform != 'linux') or (platform_machine == 'ppc64le' and sys_platform != 'linux') or (platform_machine == 's390x' and sys_platform != 'linux') or (platform_machine == 'x86_64' and sys_platform != 'linux')" },
+    { name = "pycparser", marker = "(platform_machine != 'aarch64' and platform_machine != 'armv7l' and platform_machine != 'i686' and platform_machine != 'ppc64le' and platform_machine != 's390x' and platform_machine != 'x86_64') or sys_platform != 'linux'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/fc/97/c783634659c2920c3fc70419e3af40972dbaf758daa229a7d6ea6135c90d/cffi-1.17.1.tar.gz", hash = "sha256:1c39c6016c32bc48dd54561950ebd6836e1670f2ae46128f67cf49e789c52824", size = 516621 }
 wheels = [
@@ -185,7 +186,7 @@ name = "click"
 version = "8.1.8"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "colorama", marker = "platform_system == 'Windows'" },
+    { name = "colorama", marker = "sys_platform == 'win32'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/b9/2e/0090cbf739cee7d23781ad4b89a9894a41538e4fcf4c31dcdd705b78eb8b/click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a", size = 226593 }
 wheels = [
@@ -309,8 +310,8 @@ name = "dmgbuild"
 version = "1.6.5"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "ds-store", marker = "(platform_machine != 'aarch64' and platform_machine != 'armv7l' and platform_machine != 'i686' and platform_machine != 'ppc64le' and platform_machine != 's390x' and platform_machine != 'x86_64') or (platform_machine == 'aarch64' and sys_platform != 'linux') or (platform_machine == 'armv7l' and sys_platform != 'linux') or (platform_machine == 'i686' and sys_platform != 'linux') or (platform_machine == 'ppc64le' and sys_platform != 'linux') or (platform_machine == 's390x' and sys_platform != 'linux') or (platform_machine == 'x86_64' and sys_platform != 'linux')" },
-    { name = "mac-alias", marker = "(platform_machine != 'aarch64' and platform_machine != 'armv7l' and platform_machine != 'i686' and platform_machine != 'ppc64le' and platform_machine != 's390x' and platform_machine != 'x86_64') or (platform_machine == 'aarch64' and sys_platform != 'linux') or (platform_machine == 'armv7l' and sys_platform != 'linux') or (platform_machine == 'i686' and sys_platform != 'linux') or (platform_machine == 'ppc64le' and sys_platform != 'linux') or (platform_machine == 's390x' and sys_platform != 'linux') or (platform_machine == 'x86_64' and sys_platform != 'linux')" },
+    { name = "ds-store", marker = "(platform_machine != 'aarch64' and platform_machine != 'armv7l' and platform_machine != 'i686' and platform_machine != 'ppc64le' and platform_machine != 's390x' and platform_machine != 'x86_64') or sys_platform != 'linux'" },
+    { name = "mac-alias", marker = "(platform_machine != 'aarch64' and platform_machine != 'armv7l' and platform_machine != 'i686' and platform_machine != 'ppc64le' and platform_machine != 's390x' and platform_machine != 'x86_64') or sys_platform != 'linux'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/16/93/b9702c68d5dedfd6b91c76268a89091ff681b8e3b9a026e7919b6ab730a4/dmgbuild-1.6.5.tar.gz", hash = "sha256:c5cbeec574bad84a324348aa7c36d4aada04568c99fb104dec18d22ba3259f45", size = 36848 }
 wheels = [
@@ -331,7 +332,7 @@ name = "ds-store"
 version = "1.3.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "mac-alias", marker = "(platform_machine != 'aarch64' and platform_machine != 'armv7l' and platform_machine != 'i686' and platform_machine != 'ppc64le' and platform_machine != 's390x' and platform_machine != 'x86_64') or (platform_machine == 'aarch64' and sys_platform != 'linux') or (platform_machine == 'armv7l' and sys_platform != 'linux') or (platform_machine == 'i686' and sys_platform != 'linux') or (platform_machine == 'ppc64le' and sys_platform != 'linux') or (platform_machine == 's390x' and sys_platform != 'linux') or (platform_machine == 'x86_64' and sys_platform != 'linux')" },
+    { name = "mac-alias", marker = "(platform_machine != 'aarch64' and platform_machine != 'armv7l' and platform_machine != 'i686' and platform_machine != 'ppc64le' and platform_machine != 's390x' and platform_machine != 'x86_64') or sys_platform != 'linux'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/7c/36/902259bf7ddb142dd91cf7a9794aa15e1a8ab985974f90375e5d3463b441/ds_store-1.3.1.tar.gz", hash = "sha256:c27d413caf13c19acb85d75da4752673f1f38267f9eb6ba81b3b5aa99c2d207c", size = 27052 }
 wheels = [
@@ -818,7 +819,7 @@ email = [
     { name = "email-validator" },
 ]
 timezone = [
-    { name = "tzdata", marker = "platform_system == 'Windows'" },
+    { name = "tzdata", marker = "sys_platform == 'win32'" },
 ]
 
 [[package]]
@@ -1308,7 +1309,7 @@ name = "tzlocal"
 version = "5.3.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "tzdata", marker = "platform_system == 'Windows'" },
+    { name = "tzdata", marker = "sys_platform == 'win32'" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/8b/2e/c14812d3d4d9cd1773c6be938f89e5735a1f11a9f184ac3639b93cef35d5/tzlocal-5.3.1.tar.gz", hash = "sha256:cceffc7edecefea1f595541dbd6e990cb1ea3d19bf01b2809f362a03dd7921fd", size = 30761 }
 wheels = [