Data and AI releases

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Mem0 Python SDK (v2.1.0)

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Improvements: Client: Requests now carry three surface-identity headers so the platform can tell which product made a call. X-Mem0-Source names the surface and X-Application the host app it runs inside, both set-once so a wrapper that already declared its identity keeps it.

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Also shipped Sep 18, 2026Mem0 in September 2026 →

Lakebase Search is generally available

Lakebase Search is now generally available. It brings scalable vector and keyword search to Lakebase projects through two Postgres extensions, so you can run semantic and exact-term search in a single database without a separate search stack: lakebase_vector adds the lakebase_ann index type for approximate nearest-neighbor vector search.

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Mem0 Python SDK (v2.2.0)

New Features: Client: Add User Profiles to MemoryClient and AsyncMemoryClient : get_profile() , generate_profile() , get_profile_settings() , update_profile_settings() , sample_profiles() , and get_profile_job() .

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Mem0 Python SDK (v2.2.1)

Bug Fixes: - Core: add() (Memory and AsyncMemory) no longer reports records the vector store rejected as successful ADD events. Only records that were actually inserted are written to history, entity-linked, and returned.

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