SuperAPI AI Directory

Mantra

Mantra is a free, local-first desktop app that replays AI coding sessions from Claude Code, Cursor, and Gemini CLI. Click any message to "time travel" to the code state at that moment, with support for sensitive data detection, MCP service management, and search across all sessions, running 100% offline on macOS, Windows, and Linux.

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About this tool

Mantra is a desktop app designed for developers who use AI coding tools, positioned as a local-first AI coding session replay and management tool.

  1. Primary purpose Mantra is used to replay AI coding sessions, helping developers review the complete conversation and code change history generated while collaborating with AI coding tools. It supports importing session records from three types of AI coding tools: Claude Code, Cursor, and Gemini CLI.

  2. Main capabilities

  3. Session replay and code state time travel: Click any message in a session to jump to the code state at the moment corresponding to that message, making it easy to trace the modifications AI made to the code at a specific step.

  4. Sensitive data detection: Able to detect potentially sensitive data in sessions.

  5. MCP service management: Provides management functionality for MCP (Model Context Protocol) services.

  6. Cross-session search: Supports searching across all imported sessions, making it easy to quickly locate historical conversation content.

  7. Usage and platforms Mantra is a desktop app that supports the three major operating systems: macOS, Windows, and Linux. The app uses a local-first architecture, with all functionality running 100% offline and usable without an internet connection. The app is provided free of charge.

  8. Applicable scenarios Suitable for developers who need to review the AI coding process, trace the source of code changes, troubleshoot issues in AI-generated code, or detect sensitive information in AI sessions. It is also suitable for users who need to centrally manage session records from multiple AI coding tools.

  9. Limitations Details such as specific installation steps, system configuration requirements, supported file formats, specific MCP service management methods, and data storage locations are not provided in this material.