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v2.0.13

semaphoreui/semaphorev2.0.13Jul 22, 2026by kartik-mem0

AI Summary

This release focuses on critical bug fixes for vector stores (Qdrant, Pinecone, Baidu Mochow) and LLM configuration, specifically addressing stale vectors, namespace scope issues, and environment variable naming conventions.

Key Highlights

  • Fixed `reset()` for Qdrant leaving stale vectors on Windows or NFS
  • Prevented `update()` metadata from overwriting immutable identity fields (`user_id`, `agent_id`, etc.)
  • Fixed Pinecone `delete_col()`/`reset()` to scope to the configured namespace
  • Updated `OPENAI_BASE_URL` environment variable support in OpenAI LLMs
  • Fixed Baidu Mochow search ranking to match other providers

Breaking Changes

  • `update()` metadata can no longer inject `user_id`, `agent_id`, `run_id`, or `actor_id`

Full Release Notes

**Bug Fixes:**
- **Vector Stores:** Fix `reset()` silently leaving stale vectors behind on local (on-disk) Qdrant when the old collection directory could not be removed, for example an open file handle on Windows or NFS ([#6412](https://github.com/mem0ai/mem0/pull/6412))
- **Core:** Stop `update()` metadata from overwriting or injecting `user_id`, `agent_id`, `run_id`, or `actor_id`. These identity fields are immutable after creation, so passing them in `metadata` can no longer move a memory into a different tenant's scope ([#6278](https://github.com/mem0ai/mem0/pull/6278))
- **Vector Stores:** Scope Pinecone `delete_col()`/`reset()` to the configured namespace instead of deleting the whole index, so resetting a namespaced Pinecone store no longer wipes out the other namespaces sharing that index ([#6287](https://github.com/mem0ai/mem0/pull/6287))
- **Vector Stores:** Convert Baidu Mochow's raw L2 distance into a similarity score in `search()` (`1 / (1 + distance)`), so closer matches rank higher instead of lower, matching the Milvus provider and the rest of the `VectorStoreBase` contract ([#6435](https://github.com/mem0ai/mem0/pull/6435))
- **LLMs:** Read `OPENAI_BASE_URL` (was `OPENAI_API_BASE`) in `OpenAIStructuredLLM`, matching the official OpenAI SDK's environment variable and the rest of the OpenAI-compatible providers ([#6322](https://github.com/mem0ai/mem0/pull/6322))

**Improvements:**
- **LLMs:** Remove a dead, no-op `api_key` attribute check from `LLMBase.__init__` ([#6460](https://github.com/mem0ai/mem0/pull/6460))

**Changes:**
- **Client:** Remove the `retrieval_criteria` parameter from `MemoryClient.update_project()`/`AsyncMemoryClient.update_project()` and `Project.update()`/`AsyncProject.update()`. It was accepted and forwarded but never affected retrieval, so removing it is not a behavior change ([#6313](https://github.com/mem0ai/mem0/pull/6313))