# Mem0 v2.0.15 — Mem0 Python SDK (v2.0.15)

- Product: Mem0 (https://whatsnew.fyi/product/mem0)
- Vendor: Mem0
- Date: 2026-08-01
- Version: v2.0.15
- Original notes: https://github.com/mem0ai/mem0/releases/tag/v2.0.15
- Permalink: https://whatsnew.fyi/product/mem0/releases/v2.0.15

What's New is an index, not a publisher: every entry below links to the vendor's own release notes, which are the authoritative source. Entries are labelled where they are hand-curated sample data, pre-releases, or drawn from a secondary source such as a developer blog.

Reuse: the summaries, labels and curation here are © What's New. Quote freely with attribution and a link back; wholesale republication of the corpus is not permitted — terms: https://whatsnew.fyi/terms. The vendors' own release notes remain their publishers'.

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- **fixed** — delete_all() now paginates through the vector store in batches of 1000 instead of listing once, preventing memories from being silently left behind in accounts with more memories than a single page
- **fixed** — Cap Supabase search()/list() top_k at the vecs query limit of 1000 instead of erroring
- **fixed** — Fix Supabase col_info() crash by reading collection attributes directly instead of calling the removed describe() method
- **fixed** — Set size on Elasticsearch KNN search queries so results respect top_k instead of being capped at Elasticsearch's default of 10 hits
- **changed** — LLMReranker's default model is now gpt-5-mini (was gpt-4o-mini)

**Bug Fixes:**
- **Core:** `delete_all()` now paginates through the vector store in batches of 1000 instead of listing once, so accounts with more memories than a single page (most vector stores default to ~100) had the remainder silently left behind ([#6636](https://github.com/mem0ai/mem0/pull/6636))
- **Vector Stores:** Cap Supabase `search()`/`list()` `top_k` at the `vecs` query limit of 1000 instead of erroring, and fix a `col_info()` crash by reading collection attributes directly instead of calling the removed `describe()` method ([#6695](https://github.com/mem0ai/mem0/pull/6695))
- **Vector Stores:** Set `size` on Elasticsearch KNN search queries, so results respect `top_k` instead of being capped at Elasticsearch's default of 10 hits ([#5910](https://github.com/mem0ai/mem0/pull/5910))

**Changes:**
- **Rerankers:** `LLMReranker`'s default model is now `gpt-5-mini` (was `gpt-4o-mini`) ([#6703](https://github.com/mem0ai/mem0/pull/6703))