Gives Claude persistent memory across conversations by storing learnings, preferences, and procedure outcomes in a local vector database. Before each task, Claude recalls relevant context. After completing work, it retains what it learned. The underlying system extracts structured facts and builds relationships automatically, so you pass full context (conversation transcripts, detailed observations) rather than pre-summarized snippets. Requires one-time setup with an LLM provider. Most useful if you're working on the same project over multiple sessions and want Claude to remember what worked last time, which commands failed, or your coding preferences without repeating yourself.
npx skills add https://github.com/vectorize-io/hindsight --skill hindsight-local