Wallfacer

Wallfacer helps developers find and return to AI coding conversations scattered across projects and assistants. Its terminal browser gathers sessions from Claude Code, Cursor CLI, Kiro CLI and Codex, including conversations started outside Wallfacer.

• Session organization: Give conversations recognizable titles, add tags and group them into projects in a shared list sorted by recency.
• Search and filters: Find sessions by title, first prompt, directory, project or tag, and filter the list by coding assistant.
• Launch and resume: Start a new session with your chosen assistant or return to an existing conversation directly from the browser or command line.
• Script access: Command-line tools provide the browser's capabilities with JSON output, and both interfaces share your saved titles, tags and project assignments.
• Session deletion: Move conversations and their associated files to trash, with permanent deletion available as a separate action.

Wallfacer runs locally on macOS and Linux and is open source under the MIT license. Indexing reads the assistants' session files without modifying them. It stores organizational metadata in a separate local SQLite database, so removing that database leaves the original conversations intact.

The browser contacts GitHub for an optional release check that you can disable. Developers can add support for other coding assistants through adapters.