Smart Fork Detection

Example Use Cases

• 1

  Recover and reuse context from previous AI-assisted development sessions.

• 2

  Perform semantic search across past conversation histories to find relevant information.

• 3

  Fork and continue AI sessions seamlessly with full context preserved.

Description

Smart Fork Detection addresses the context loss problem in AI-assisted development by maintaining a searchable vector database of all Claude Code sessions. It allows users to quickly find and resume from the most relevant past conversations, overcoming token limits and boosting productivity. Features include semantic search, smart session forking, background indexing, session tagging, and integration with Claude Code and VS Code.