feat(reme_ai): update version to 0.1.10.6 and enhance tool memory operations

Author: jinliyl

README.md

@@ -4,7 +4,7 @@
 
 <p align="center">
   <a href="https://pypi.org/project/reme-ai/"><img src="https://img.shields.io/badge/python-3.12+-blue" alt="Python Version"></a>
-  <a href="https://pypi.org/project/reme-ai/"><img src="https://img.shields.io/badge/pypi-v0.1.10.5-blue?logo=pypi" alt="PyPI Version"></a>
+  <a href="https://pypi.org/project/reme-ai/"><img src="https://img.shields.io/badge/pypi-v0.1.10.6-blue?logo=pypi" alt="PyPI Version"></a>
   <a href="./LICENSE"><img src="https://img.shields.io/badge/license-Apache--2.0-black" alt="License"></a>
   <a href="https://github.com/modelscope/ReMe"><img src="https://img.shields.io/github/stars/modelscope/ReMe?style=social" alt="GitHub Stars"></a>
 </p>
@@ -28,7 +28,7 @@ Personal memory helps "**understand user preferences**", task memory helps agent
 
 ## 📰 Latest Updates
 
-- **[2025-10]** 🚀 ReMe v0.1.10.5 released! Core enhancement: direct Python import support. You can now use ReMe without starting an HTTP or MCP service - simply `from reme_ai import ReMeApp` and call methods directly in your Python code.
+- **[2025-10]** 🚀 ReMe v0.1.10.6 released! Core enhancement: direct Python import support. You can now use ReMe without starting an HTTP or MCP service - simply `from reme_ai import ReMeApp` and call methods directly in your Python code.
 - **[2025-10]** 🔧 Tool Memory support is now available! Enables data-driven tool selection and parameter optimization through historical performance tracking. Check out the [Tool Memory Guide](docs/tool_memory/tool_memory.md) and [benchmark results](docs/tool_memory/tool_bench.md).
 - **[2025-09]** 🎉 ReMe v0.1.9 has been officially released, adding support for asynchronous operations. It has also been
   integrated into the memory service of agentscope-runtime.
@@ -685,8 +685,8 @@ You can find more details on reproducing the experiment in [quickstart.md](docs/
 
 ### 🧊 [Frozenlake Experiment](docs/cookbook/frozenlake/quickstart.md)
 
-|                                         without ReMe                                         |                                          with ReMe                                           |
-|:--------------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------:|
+|                                             without ReMe                                             |                                              with ReMe                                               |
+|:----------------------------------------------------------------------------------------------------:|:----------------------------------------------------------------------------------------------------:|
 | <p align="center"><img src="docs/_static/figure/frozenlake_failure.gif" alt="GIF 1" width="30%"></p> | <p align="center"><img src="docs/_static/figure/frozenlake_success.gif" alt="GIF 2" width="30%"></p> |
 
 We tested on 100 random frozenlake maps using qwen3-8b:
@@ -711,10 +711,10 @@ We tested ReMe on BFCL-V3 multi-turn-base (randomly split 50train/150val) using
 
 We evaluated Tool Memory effectiveness using a controlled benchmark with three mock search tools using Qwen3-30B-Instruct:
 
-| Scenario              | Avg Score | Improvement        |
-|-----------------------|-----------|--------------------|
-| Train (No Memory)     | 0.650     | -                  |
-| Test (No Memory)      | 0.672     | Baseline           |
+| Scenario               | Avg Score | Improvement |
+|------------------------|-----------|-------------|
+| Train (No Memory)      | 0.650     | -           |
+| Test (No Memory)       | 0.672     | Baseline    |
 | **Test (With Memory)** | **0.772** | **+14.88%** |
 
 **Key Findings:**