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chore(deps): update mem0ai requirement from >=0.1.0 to >=2.0.8#19

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chore(deps): update mem0ai requirement from >=0.1.0 to >=2.0.8#19
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Updates the requirements on mem0ai to permit the latest version.

Release notes

Sourced from mem0ai's releases.

Mem0 Python SDK (v2.0.8)

New Features:

  • Embeddings: Add native embed_batch to five embedders — LM Studio, Together, HuggingFace, Vertex AI, and Google GenAI — for batched embedding requests (#5609)

Bug Fixes:

  • Core: Guard against malformed image_url entries in parse_vision_messages to prevent crashes (#5631)
  • Core: Return attributed_to from get(), get_all(), and search() (#5629)
  • Core: Fix reset() only dropping the history table and leaving stale messages behind (#5541)
  • Core: Guard against an entity embed_batch count mismatch in the v3 add pipeline (#5604)
  • Core: Fix an async delete_all race condition that corrupted the entity store's linked_memory_ids (#5553)
  • LLMs: Skip the JSON response_format for Groq compound models that reject it (#5513)
  • LLMs: Preserve reasoning fields during base-to-provider config conversion (#5638)
  • LLMs: Pass the configured anthropic_base_url to the Anthropic client (#5626)
  • LLMs: Stop the Azure provider from mutating and corrupting caller messages during content rewrite (#5731)
  • LLMs & Embeddings: Repair HTTP proxy support for httpx>=0.28 and preserve proxies in LlmFactory (#5447)
  • Embeddings: Forward embedding_dims to Titan V2 in the AWS Bedrock embedder (#5671)
  • Rerankers: Log reranking failures instead of swallowing them silently (#5717)
  • Rerankers: Clamp out-of-range LLM scores instead of mis-parsing them (#5635)
  • Rerankers: Export all five rerankers from the package root (#5636)
  • Vector Stores: Point the FastEmbed-missing warning at mem0ai[extras] (#5622)
  • Vector Stores: Preserve empty Azure AI Search update values (#5524)
  • Vector Stores: Add an auto_refresh option for OpenSearch Serverless compatibility (#3893)
  • Vector Stores: Wrap a scalar vector_id in a list for Chroma delete() (#5703)
  • Vector Stores: Wrap Chroma update() ids, embeddings, and metadatas in lists (#5757)
  • Vector Stores: Wrap a scalar vector_id in a list for Milvus delete() (#5704)
  • Vector Stores: Map all comparison operators in the Pinecone _create_filter() (#5707)
  • Vector Stores: Return None instead of {} from Chroma _generate_where_clause for empty filters (#5713)
  • Vector Stores: Return [[]] from the OpenSearch list() error path to honor the list() contract (#5727)
  • Vector Stores: Return [[]] from the Pinecone list() error path instead of a dict (#5706)
  • Vector Stores: Return [[]] for an uninitialized FAISS index to honor the list() contract (#5725)
  • Vector Stores: Wrap the MongoDB list() return in an outer list to match the interface contract (#5729)
  • Vector Stores: Deep-copy Redis DEFAULT_FIELDS so instances keep distinct dims (#5633)
  • Vector Stores: Pass the required vectors arg in Vertex AI list() and similarity search (#5627)
  • Vector Stores: Return None from Redis get() for missing IDs (#5625)
  • Vector Stores: Drop a stray print in Weaviate list_cols (#5637)
  • Graph: Keep distinct entities that share a substring prefix (#5630)
  • Client: Check the HTTP status before parsing the ping response in _validate_api_key (#5639)
  • Server: Fetch filtered dashboard memories beyond the default page (#5753)
  • Server: Return 404/400 instead of 502 for not-found and invalid input (#5634)
  • Server: Return 404 instead of 500 for a malformed API key id on revoke (#5640)
  • Server: Use 127.0.0.1 in the dashboard healthcheck to avoid IPv6 localhost resolution (#5612)

Improvements:

  • Vector Stores: Batch BM25 sparse encoding in Qdrant insert (#5592)

Security:

  • Vector Stores: Sanitize Milvus and Baidu filter values to prevent expression injection (#5746)
  • Vector Stores: Reject dict filter values in MongoDB to prevent NoSQL operator injection (#5748)
Commits
  • 98dbf90 chore: update changelog, bump SDK versions to Python 2.0.8 and TypeScript 3.0...
  • 6ddf166 fix(vector_stores): point fastembed-missing warning at mem0ai[extras] (#5622)
  • d3d2e89 fix(llms): skip JSON response_format for Groq compound models (#5513)
  • 43175d8 fix: preserve empty Azure AI Search update values (#5524)
  • 661ecb9 docs(hermes): update for v3 API, OSS self-hosted mode, and new tools (#5807)
  • 09f181c fix(server): fetch filtered dashboard memories beyond default page (#5753)
  • 3497f26 fix: add auto_refresh option for OpenSearch Serverless compatibility (#3893)
  • e9c0547 fix(ts-sdk): preserve customCategories names through key conversion (#5741)
  • 25bc1b7 fix(memory): guard against malformed image_url in parse_vision_messages (#5631)
  • fee344d fix(chroma): wrap scalar vector_id in list for delete() (#5703)
  • Additional commits viewable in compare view

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Updates the requirements on [mem0ai](https://github.com/mem0ai/mem0) to permit the latest version.
- [Release notes](https://github.com/mem0ai/mem0/releases)
- [Commits](mem0ai/mem0@v0.1.0...v2.0.8)

---
updated-dependencies:
- dependency-name: mem0ai
  dependency-version: 2.0.8
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Jun 27, 2026
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