Show HN: Coding Agent Session Search (Cass) (github.com)

A new tool called Coding Agent Session Search (cass) has been introduced, designed to unify and enhance the way developers access their previous interactions with various coding AI agents. This high-performance terminal user interface (TUI) aggregates history from popular coding assistants like Codex, Claude Code, and ChatGPT into a single, searchable timeline. The tool normalizes data from different formats, enabling a cohesive search experience that respects user privacy by keeping all operations local. Significantly, cass addresses common challenges faced by developers, such as fragmented information storage and lack of visibility across agents. It leverages advanced indexing techniques, including Edge N-Gram Indexing and smart tokenization, to deliver instant search results with features like live query updates, question deduplication, and match quality ranking. By allowing easy access to past insights and problem-solving techniques, cass not only empowers individual developers but also enhances collective knowledge sharing within teams, ultimately enabling AI agents to learn from previous sessions. This cross-agent knowledge integration transforms how developers debug and tackle coding challenges, offering a robust framework for leveraging AI in software development.