Searches previous chat conversations using semantic search to recall past solutions, decisions, and context.
Leverages a local vector database to provide a searchable history of past CodeCompanion conversations. Using natural language and semantic search, this skill helps recall previously discussed solutions, architectural decisions, and code patterns. It's invaluable when a user references a past conversation, encounters a recurring problem, or when historical context can inform the current task, effectively giving your coding assistant a long-term memory.
Key Features
010 GitHub stars
02Retrieves past solutions, code patterns, and architectural decisions.
03Performs semantic search on chat history using natural language queries.
04Integrates with a local ChromaDB vector database for private, efficient lookups.
05Filters results by relevance and allows adjusting the number of results shown.
06Provides conversation previews or full summaries for detailed context.
Use Cases
01Finding a solution to a recurring bug or error that was solved in a previous session.
02Recalling a specific architectural choice or database schema discussed weeks ago.
03Reusing a code pattern or implementation from a prior conversation.
