I. Definition and Significance of Context Engineering
- The art and science of populating agent context windows
- Its pivotal role in deep research scenarios
II. Architectural Evolution of Open Deep Research
- Transition from workflow models to multi-agent frameworks
- Technological iterations in context management
III. Four Core Elements of Context Engineering
- Context Writing: Research Brief Generation and Persistence
- Context Selection: Tool Choice and Relevant Information Retrieval
- Context Compression: Summary Generation and Token Optimization
- Context Isolation: Multi-Agent Collaboration and State Management
IV. Practical Implications
- Impact of Context Engineering on Agent Performance
- Balancing Efficiency and Effectiveness in Real-World Applications