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Merge pull request #14 from supermemoryai/release-please--branches--main--changes--next
release: 3.0.0-alpha.28
2 parents f5d02d0 + c05b561 commit 4fea3cf

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‎.release-please-manifest.json‎

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{
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".": "3.0.0-alpha.27"
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".": "3.0.0-alpha.28"
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}

‎.stats.yml‎

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configured_endpoints: 18
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/supermemory--inc%2Fsupermemory-new-3d4dd8ac24dba1f3cd5632eedbabafdac2ca7a2c4b99376d0896437497992861.yml
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openapi_spec_hash: 2ae20c06f18b7be58fabcfd6db1b5acf
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openapi_spec_url: https://storage.googleapis.com/stainless-sdk-openapi-specs/supermemory--inc%2Fsupermemory-new-bc38a818a02d2611e24859c4fd59ce98a24499af22ac9d16fc93a3d1e0b3c94f.yml
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openapi_spec_hash: e25323c2c0f792f2fafc664748774e46
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config_hash: 9b9291a6c872b063900a46386729ba3c

‎CHANGELOG.md‎

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# Changelog
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## 3.0.0-alpha.28 (2025-08-24)
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Full Changelog: [v3.0.0-alpha.27...v3.0.0-alpha.28](https://github.com/supermemoryai/python-sdk/compare/v3.0.0-alpha.27...v3.0.0-alpha.28)
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### Features
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* **api:** api update ([0745263](https://github.com/supermemoryai/python-sdk/commit/074526384ea43d5323feeb2101054e0515002169))
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## 3.0.0-alpha.27 (2025-08-24)
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Full Changelog: [v3.0.0-alpha.26...v3.0.0-alpha.27](https://github.com/supermemoryai/python-sdk/compare/v3.0.0-alpha.26...v3.0.0-alpha.27)

‎pyproject.toml‎

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[project]
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name = "supermemory"
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version = "3.0.0-alpha.27"
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version = "3.0.0-alpha.28"
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description = "The official Python library for the supermemory API"
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dynamic = ["readme"]
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license = "Apache-2.0"

‎src/supermemory/_version.py‎

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# File generated from our OpenAPI spec by Stainless. See CONTRIBUTING.md for details.
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__title__ = "supermemory"
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__version__ = "3.0.0-alpha.27" # x-release-please-version
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__version__ = "3.0.0-alpha.28" # x-release-please-version

‎src/supermemory/resources/memories.py‎

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self,
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id: str,
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*,
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container_tag: str | NotGiven = NOT_GIVEN,
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container_tags: List[str] | NotGiven = NOT_GIVEN,
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content: str | NotGiven = NOT_GIVEN,
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custom_id: str | NotGiven = NOT_GIVEN,
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Update a memory with any content type (text, url, file, etc.) and metadata
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Args:
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container_tags: Optional tags this memory should be containerized by. This can be an ID for your
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container_tag: Optional tag this memory should be containerized by. This can be an ID for your
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user, a project ID, or any other identifier you wish to use to group memories.
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container_tags: (DEPRECATED: Use containerTag instead) Optional tags this memory should be
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containerized by. This can be an ID for your user, a project ID, or any other
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identifier you wish to use to group memories.
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content: The content to extract and process into a memory. This can be a URL to a
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website, a PDF, an image, or a video.
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f"/v3/memories/{id}",
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body=maybe_transform(
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{
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"container_tag": container_tag,
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"container_tags": container_tags,
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"content": content,
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"custom_id": custom_id,
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def add(
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self,
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*,
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container_tag: str | NotGiven = NOT_GIVEN,
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container_tags: List[str] | NotGiven = NOT_GIVEN,
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content: str | NotGiven = NOT_GIVEN,
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custom_id: str | NotGiven = NOT_GIVEN,
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Add a memory with any content type (text, url, file, etc.) and metadata
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Args:
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container_tags: Optional tags this memory should be containerized by. This can be an ID for your
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container_tag: Optional tag this memory should be containerized by. This can be an ID for your
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user, a project ID, or any other identifier you wish to use to group memories.
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container_tags: (DEPRECATED: Use containerTag instead) Optional tags this memory should be
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containerized by. This can be an ID for your user, a project ID, or any other
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identifier you wish to use to group memories.
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content: The content to extract and process into a memory. This can be a URL to a
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website, a PDF, an image, or a video.
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"/v3/memories",
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body=maybe_transform(
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{
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"container_tag": container_tag,
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"container_tags": container_tags,
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"content": content,
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"custom_id": custom_id,
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self,
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id: str,
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*,
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container_tag: str | NotGiven = NOT_GIVEN,
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container_tags: List[str] | NotGiven = NOT_GIVEN,
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content: str | NotGiven = NOT_GIVEN,
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custom_id: str | NotGiven = NOT_GIVEN,
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Update a memory with any content type (text, url, file, etc.) and metadata
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Args:
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container_tags: Optional tags this memory should be containerized by. This can be an ID for your
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container_tag: Optional tag this memory should be containerized by. This can be an ID for your
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user, a project ID, or any other identifier you wish to use to group memories.
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container_tags: (DEPRECATED: Use containerTag instead) Optional tags this memory should be
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containerized by. This can be an ID for your user, a project ID, or any other
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identifier you wish to use to group memories.
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content: The content to extract and process into a memory. This can be a URL to a
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website, a PDF, an image, or a video.
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f"/v3/memories/{id}",
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body=await async_maybe_transform(
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{
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"container_tag": container_tag,
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"container_tags": container_tags,
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"content": content,
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"custom_id": custom_id,
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async def add(
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self,
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*,
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container_tag: str | NotGiven = NOT_GIVEN,
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container_tags: List[str] | NotGiven = NOT_GIVEN,
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content: str | NotGiven = NOT_GIVEN,
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custom_id: str | NotGiven = NOT_GIVEN,
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Add a memory with any content type (text, url, file, etc.) and metadata
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container_tags: Optional tags this memory should be containerized by. This can be an ID for your
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container_tag: Optional tag this memory should be containerized by. This can be an ID for your
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user, a project ID, or any other identifier you wish to use to group memories.
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container_tags: (DEPRECATED: Use containerTag instead) Optional tags this memory should be
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containerized by. This can be an ID for your user, a project ID, or any other
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identifier you wish to use to group memories.
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"container_tag": container_tag,
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"custom_id": custom_id,

‎src/supermemory/types/memory_add_params.py‎

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class MemoryAddParams(TypedDict, total=False):
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container_tags: Annotated[List[str], PropertyInfo(alias="containerTags")]
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"""Optional tags this memory should be containerized by.
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container_tag: Annotated[str, PropertyInfo(alias="containerTag")]
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"""Optional tag this memory should be containerized by.
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This can be an ID for your user, a project ID, or any other identifier you wish
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"""
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container_tags: Annotated[List[str], PropertyInfo(alias="containerTags")]
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"""
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(DEPRECATED: Use containerTag instead) Optional tags this memory should be
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containerized by. This can be an ID for your user, a project ID, or any other
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identifier you wish to use to group memories.
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"""
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"""The content to extract and process into a memory.
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‎src/supermemory/types/memory_update_params.py‎

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class MemoryUpdateParams(TypedDict, total=False):
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"""Optional tags this memory should be containerized by.
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container_tag: Annotated[str, PropertyInfo(alias="containerTag")]
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"""Optional tag this memory should be containerized by.
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This can be an ID for your user, a project ID, or any other identifier you wish
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"""
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container_tags: Annotated[List[str], PropertyInfo(alias="containerTags")]
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"""
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(DEPRECATED: Use containerTag instead) Optional tags this memory should be
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containerized by. This can be an ID for your user, a project ID, or any other
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"""
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"""The content to extract and process into a memory.
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‎tests/api_resources/test_memories.py‎

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def test_method_update_with_all_params(self, client: Supermemory) -> None:
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memory = client.memories.update(
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id="id",
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container_tag="user_123",
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content="This is a detailed article about machine learning concepts...",
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@parametrize
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def test_method_add_with_all_params(self, client: Supermemory) -> None:
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memory = client.memories.add(
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container_tag="user_123",
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async def test_method_update_with_all_params(self, async_client: AsyncSupermemory) -> None:
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memory = await async_client.memories.update(
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id="id",
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container_tag="user_123",
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async def test_method_add_with_all_params(self, async_client: AsyncSupermemory) -> None:
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memory = await async_client.memories.add(
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container_tag="user_123",
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container_tags=["user_123", "project_123"],
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content="This is a detailed article about machine learning concepts...",
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custom_id="mem_abc123",

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