v2.0.1
mem0ai/mem0v2.0.1Apr 25, 2026by whysosaket
AI Summary
Comprehensive bug fixes in Python SDK including client filtering, memory extraction pipeline, missing fields, metadata filter merging, LLM model checks, vector store configurations, and embedding dimensions.
Key Highlights
- Client: Map user_id, agent_id, run_id entity params to filters in GET /memories
- Memory: Honor prompt param in vector store extraction pipeline
- Memory: Add missing text_lemmatized field in AsyncMemory._create_memory
- Memory: Merge same-key operator dicts in AND metadata filters
- Vector Stores: Add ca_certs config option for Elasticsearch vector store
- Vector Stores: Add agent_id and run_id to Elasticsearch/OpenSearch default mappings
- Embeddings: Set FastEmbed embedding_dims from model metadata at init
- Security: Bump vulnerable dependencies to patched versions
Full Release Notes
## Mem0 Python SDK (v2.0.1) **Bug Fixes:** - **Client:** Map `user_id`, `agent_id`, `run_id` entity params to filters in `GET /memories` ([#4960](https://github.com/mem0ai/mem0/pull/4960)) - **Memory:** Honor `prompt` param in vector store extraction pipeline ([#4914](https://github.com/mem0ai/mem0/pull/4914)) - **Memory:** Add missing `text_lemmatized` field in `AsyncMemory._create_memory` ([#4886](https://github.com/mem0ai/mem0/pull/4886)) - **Memory:** Merge same-key operator dicts in AND metadata filters ([#4853](https://github.com/mem0ai/mem0/pull/4853)) - **LLMs:** Narrow `_is_reasoning_model` check to not match `gpt-5.x` variants ([#4746](https://github.com/mem0ai/mem0/pull/4746)) - **Vector Stores:** Add `ca_certs` config option for Elasticsearch vector store ([#3993](https://github.com/mem0ai/mem0/pull/3993)) - **Vector Stores:** Add `agent_id` and `run_id` to Elasticsearch/OpenSearch default mappings ([#4906](https://github.com/mem0ai/mem0/pull/4906)) - **Embeddings:** Set FastEmbed `embedding_dims` from model metadata at init ([#4711](https://github.com/mem0ai/mem0/pull/4711)) **Security:** - Bump vulnerable dependencies to patched versions ([#4835](https://github.com/mem0ai/mem0/pull/4835))