Extending conversational memory in Kiro CLI using Amazon Bedrock AgentCore Memory

This article demonstrates how to extend Kiro CLI's conversational memory using Amazon Bedrock AgentCore Memory through a custom Model Context Protocol (MCP) server.

• Custom MCP server bridges Kiro CLI with Amazon Bedrock AgentCore Memory for persistent conversation storage
• Conversation tools enable searching history by topic/timeframe and retrieving complete session content
• Monitoring tools provide memory usage statistics and MCP server configuration details
• Management tools allow deleting specific sessions and clearing stored data when needed
• Two-stage retrieval strategy uses semantic search with fallback to direct content matching
• Supports natural language timeframes like "recent," "last night," or "yesterday" for finding conversations
• Kiro CLI remembers preferences, project details, and workflows across multiple sessions
• Step-by-step walkthrough includes repository cloning, environment setup, and agent configuration

This solution eliminates repetitive context-setting by maintaining persistent conversational memory across Kiro CLI sessions, improving developer productivity when working on complex codebases.