Claude-Find – Pull Deep Memory from Across Your Claude Code Sessions (github.com)

Claude-Find has been launched, enabling users to pull deep memory from their past Claude Code sessions with a powerful semantic search capability. This new tool distinguishes itself by searching through the entire raw conversation transcripts rather than relying on compressed summaries, allowing Claude to grasp the full context of previous discussions — including reasoning, constraints, and failures. Users can execute specific commands to retrieve relevant information, such as past decisions on database migrations or error encounters, streamlining the development process. The significance of Claude-Find lies in its ability to enhance productivity and recall in software development by indexing all Claude Code session data permanently. It enriches conversations with metadata for efficient retrieval and employs advanced hybrid search techniques merging semantic and keyword approaches. With background indexing that operates non-blockingly, searches yield results instantly even while new data is being processed. This innovation ensures that all past sessions are accessible indefinitely, reinforcing the memory and learning capabilities of AI/ML environments. The integration of GPU acceleration via Ollama further optimizes performance, making this a pivotal development for the AI/ML community focused on collaborative coding.