chore(release): bump Python and TypeScript SDK patch versions (#7210)

docs/changelog/sdk.mdx

@@ -7,6 +7,14 @@ mode: "wide"
 <Tabs>
 <Tab title="Python">
 
+<Update label="2026-09-02" description="v2.0.20">
+
+**Improvements:**
+- **OSS notices:** Notice configuration now comes from a static, cacheable repository file with a bundled disabled fallback and deterministic rollout assignment, instead of calling PostHog's feature-flag evaluation API. This keeps notices fail-safe when the remote config is unavailable and removes the PostHog feature-flag request from notice evaluation ([#7185](https://github.com/mem0ai/mem0/pull/7185))
+- **Vector Stores:** `RedisDBConfig` now uses Pydantic's native `extra="forbid"` handling for unknown fields instead of a custom model validator, preserving strict validation while returning standard Pydantic errors ([#7089](https://github.com/mem0ai/mem0/pull/7089))
+
+</Update>
+
 <Update label="2026-08-24" description="v2.0.19">
 
 **Bug Fixes:**
@@ -1219,6 +1227,13 @@ See the [OSS v2 to v3 migration guide](https://docs.mem0.ai/migration/oss-v2-to-
 
 <Tab title="TypeScript">
 
+<Update label="2026-09-02" description="v3.1.8">
+
+**Improvements:**
+- **OSS notices:** Notice configuration now comes from a static, cacheable repository file with a bundled disabled fallback and deterministic rollout assignment, instead of calling PostHog's feature-flag evaluation API. This keeps notices fail-safe when the remote config is unavailable and removes the PostHog feature-flag request from notice evaluation ([#7185](https://github.com/mem0ai/mem0/pull/7185))
+
+</Update>
+
 <Update label="2026-08-24" description="v3.1.7">
 
 **Bug Fixes:**

mem0-ts/package.json

@@ -1,6 +1,6 @@
 {
   "name": "mem0ai",
-  "version": "3.1.7",
+  "version": "3.1.8",
   "description": "The Memory Layer For Your AI Apps",
   "main": "./dist/index.js",
   "module": "./dist/index.mjs",

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "mem0ai"
-version = "2.0.19"
+version = "2.0.20"
 description = "Long-term memory for AI Agents"
 authors = [
     { name = "Mem0", email = "support@mem0.ai" }