Merge branch 'dev' into feat/illumination

Author: CaralHsi

.gitignore

@@ -17,6 +17,9 @@ evaluation/configs/*
 .env
 evaluation/scripts/personamem
 
+# benchmarks
+benchmarks/
+   
 # Byte-compiled / optimized / DLL files
 __pycache__/
 *.py[cod]

README.md

@@ -251,8 +251,9 @@ MemOS is licensed under the [Apache 2.0 License](./LICENSE).
 
 Stay up to date with the latest MemOS announcements, releases, and community highlights.
 
-- **2025-07-29** – 🎉 MemOS v0.2.2 (Nebula Update): Internet search+Nebula DB integration, refactored memory scheduler, KV Cache stress tests, MemCube Cookbook release (CN/EN), and 4b/1.7b/0.6b memory ops models.
-- **2025-07-21** – 🎉 MemOS v0.2.1 (Neo Release): Lightweight Neo version with plaintext+KV Cache functionality, Docker/multi-tenant support, MCP expansion, and new Cookbook/Mud game examples.
+- **2025-08-07** - 🎉 *MemOS v0.2.3 (Our Very First MemCube)*: A word game to inspire user engagement (MemCube), enhanced LongMemEval, BochaAISearchRetriever integration, NebulaGraph database support, improved search contextual understanding and semantic control, bug fixes, and our official Playground.
+- **2025-07-29** – 🎉 *MemOS v0.2.2 (Nebula Update)*: Internet search+Nebula DB integration, refactored memory scheduler, KV Cache stress tests, MemCube Cookbook release (CN/EN), and 4b/1.7b/0.6b memory ops models.
+- **2025-07-21** – 🎉 *MemOS v0.2.1 (Neo Release)*: Lightweight Neo version with plaintext+KV Cache functionality, Docker/multi-tenant support, MCP expansion, and new Cookbook/Mud game examples.
 - **2025-07-11** – 🎉 *MemOS v0.2.0 (Cross-Platform)*: Added doc search/bilingual UI, MemReader-4B (local deploy), full Win/Mac/Linux support, and playground end-to-end connection.
 - **2025-07-07** – 🎉 *MemOS 1.0 (Stellar) Preview Release*: A SOTA Memory OS for LLMs is now open-sourced.
 - **2025-07-04** – 🎉 *MemOS Paper Released*: [MemOS: A Memory OS for AI System](https://arxiv.org/abs/2507.03724) was published on arXiv.

src/memos/configs/mem_scheduler.py

@@ -43,6 +43,7 @@ class BaseSchedulerConfig(BaseConfig):
 
 
 class GeneralSchedulerConfig(BaseSchedulerConfig):
+    model_config = ConfigDict(extra="ignore", strict=True)
     act_mem_update_interval: int | None = Field(
         default=300, description="Interval in seconds for updating activation memory"
     )