nanoclaw-repl

Persistent CLI sessions for AI interactions are managed through a markdown-backed REPL environment that preserves context across multi-turn conversations and enables history compaction. This ensures conversation state is saved and accessible for later review or continuation.

Yes, you can switch AI models dynamically during an active REPL session without restarting. The environment supports on-the-fly model switching, dynamic skill loading, and session branching to explore different conversational paths.

AI conversation history can be exported to markdown, JSON, and text formats using built-in commands. This allows you to save, share, and archive session data while maintaining the markdown-as-database compatibility of the underlying session files.

No external runtime dependencies are required to run this session-aware REPL. The tool operates with zero dependencies, built upon the claude -p command, ensuring a lightweight setup without needing additional package managers or libraries.

The best way to search across multiple past AI chat sessions is using the built-in cross-session search functionality. This feature queries your persistent markdown-backed history to locate specific context within previous multi-turn conversations.

A markdown-as-database approach for CLI session management provides zero-dependency, human-readable storage for AI conversations. It enables persistent history, cross-session search, and export compatibility while ensuring session data remains accessible without specialized database software.