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Add the description document about the op in working memory.

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docs/work_memory/message_offload.md
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@ -144,6 +144,7 @@ After Message Offload (100 tool calls):
ReMe has fully implemented the above-mentioned message offload and reload mechanisms, inspired by [Context Engineering for AI Agents with LangChain and Manus](https://www.youtube.com/watch?v=6_BcCthVvb8). The implementation provides two core operation primitives:
### (1) Message Offload Operations
Operations for intelligently reducing context size through compaction and compression strategies.
@ -168,4 +169,27 @@ Key features:
- Support for both absolute and relative paths
- Complete working examples in test files
Both operation primitives are production-ready and can be integrated into your agent workflows. Refer to the linked documentation for API specifications, parameter details, and practical usage examples.
Both operation primitives are production-ready and can be integrated into your agent workflows. Refer to the linked documentation for API specifications, parameter details, and practical usage examples.
## 3. Integrating Working Memory with Agents
ReMe provides a complete tutorial on integrating working memory mechanisms with agent workflows. This integration enables agents to handle long-running tasks efficiently while maintaining optimal context window usage.
### Resources
📖 **Tutorial Guide**: [Working Memory Quick Start](../cookbook/working/quick_start.md)
- Step-by-step guide on integrating working memory with agents
- Configuration examples and best practices
- Real-world usage scenarios
💻 **Implementation Reference**: [react_agent_with_working_memory.py](../../cookbook/working_memory/react_agent_with_working_memory.py)
- Complete implementation of a ReAct agent with working memory
- Shows how to configure message offload and reload operations
- Production-ready code template
🚀 **Demo Application**: [work_memory_demo.py](../../cookbook/working_memory/work_memory_demo.py)
- Runnable demonstration of working memory in action
- Practical examples with different scenarios
- Easy to adapt for your own use cases
These resources provide everything you need to add intelligent working memory management to your agent applications.