Как решить проблему с лимитами памяти в OpenClaw #openclaw #бизнес #ai #агенты

The content discusses memory limit issues in OpenClaw and emphasizes that constantly increasing context size is a warning sign that the context structure needs redesign. Rather than expanding memory, the solution involves restructuring how context is organized and managed within the AI agent system.

Key Points

• •Constantly increasing context size indicates structural problems, not just memory constraints
• •Context structure redesign is the primary solution, not memory expansion
• •Proper context organization can significantly reduce memory requirements
• •Monitor context growth patterns as an early warning system for architectural issues
• •Implement context management best practices to optimize memory usage in OpenClaw
• •Evaluate context relevance and prune unnecessary information regularly
• •Consider context compression and summarization techniques for efficiency

Workflow Diagram

Concepts