Python: Build(deps): Bump mem0ai from 1.0.10 to 2.0.4 in /python

[dependabot]

Bumps mem0ai from 1.0.10 to 2.0.4.

Release notes

Sourced from mem0ai's releases.

Mem0 Python SDK (v2.0.4)

New Features:

• Client: delete() and async delete() accept delete_linked (default False). When True, deleting a memory also removes the older memories it superseded (the v3 linked_memory_ids chain), transitively — the delete-side counterpart of latest_only, so a superseded memory does not resurface after the current one is deleted (#5270)

Mem0 Python SDK (v2.0.3)

Bug Fixes:

• Vector Stores: PGVector adapter now supports rich filter operators (eq, ne, gt, gte, lt, lte, in, nin, contains, icontains, wildcard *, $or, $not) in search(), keyword_search(), and list(). Previously only exact-equality filters worked — operator dicts were silently stringified and returned zero results (#5263)

• Server: Fixed /search endpoint returning 502 when user_id, agent_id, or run_id are sent as top-level request fields. The server now maps these into the filters dict before calling Memory.search(), matching the v3 API contract. Top-level entity ID fields are marked as deprecated in the OpenAPI schema and emit a warning log — clients should migrate to filters={"user_id": "..."} (#5263)

Mem0 Python SDK (v2.0.2)

Bug Fixes:

• Telemetry: Stitch OSS and platform PostHog identities on MemoryClient init so $identify events fire and a single user is no longer tracked as two or three disconnected personas (#5040)
• Security: Harden against SQL injection and prompt injection (#4997)

New Features:

• SDK: Expose decay on project.update (#5062)

Improvements:

• Plugin: Hand mem0 search decisions to the agent (#4992)

Mem0 Python SDK (v2.0.1)

Bug Fixes:

• Client: Map user_id, agent_id, run_id entity params to filters in GET /memories (#4960)
• Memory: Honor prompt param in vector store extraction pipeline (#4914)
• Memory: Add missing text_lemmatized field in AsyncMemory._create_memory (#4886)
• Memory: Merge same-key operator dicts in AND metadata filters (#4853)
• LLMs: Narrow _is_reasoning_model check to not match gpt-5.x variants (#4746)
• Vector Stores: Add ca_certs config option for Elasticsearch vector store (#3993)
• Vector Stores: Add agent_id and run_id to Elasticsearch/OpenSearch default mappings (#4906)
• Embeddings: Set FastEmbed embedding_dims from model metadata at init (#4711)

Security:

• Bump vulnerable dependencies to patched versions (#4835)

Mem0 Python SDK (v2.0.0)

A ground-up redesign of how memories are extracted, stored, and retrieved — plus a long-overdue cleanup of the SDK surface.

Highlights

• New extraction algorithm — single-pass, ADD-only, roughly half the latency
• Multi-signal hybrid retrieval — semantic + BM25 keyword + entity matching fused into one score
• Built-in entity linking — replaces graph memory with no external store to manage
• Cleaner SDK surface — constructor and method signatures aligned with the Platform API

... (truncated)

Commits

• 75a37ec feat(sdk): add delete_linked option to MemoryClient.delete (Python + TS) (#5270)
• 8893430 fix(cli-node): forward --no-infer flag to add (#5267)
• 098a599 fix: refresh stale mem0ai pins in examples and openclaw (#5212)
• 5a2201d fix(pgvector): boolean filter casing, LIKE escaping, and TS scalar coercion (...
• ad736d9 fix(pgvector, server): add rich filter operators and fix /search 502 (#5263)
• 7f6d460 feat(mem0-plugin): v0.2.6 — fix memory visibility, remove redundant hooks, re...
• f9c52ba feat(mem0-plugin): v0.2.5 — fix identity scoping, skill param bugs, add check...
• 0da3359 feat(mem0-plugin): v0.2.4 — fix stats, session scoping, reduce noise, improve...
• 6b9707f docs(mem0-plugin): add changelog entries for v0.2.1, v0.2.2, v0.2.3 (#5241)
• 99beb00 feat(mem0-plugin): improve auto-triggering — pre-fetch, dedup, skill enforcem...
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