Code Memory

Example Use Cases

• 1

  Perform semantic and full-text search over a codebase to find relevant code by meaning or keywords.

• 2

  Extract architectural decisions and rationale from git commit history and pull requests.

• 3

  Analyze code dependencies and relationships across multiple programming languages.

Description

Code Memory enables AI coding assistants to retain long-term context of a codebase by combining semantic search, git history analysis, dependency graph insights, and session learning. It runs fully offline with local embeddings and indexing, ensuring privacy and no external API calls. The tool helps developers understand architectural decisions, code relationships, and historical discussions, improving productivity and reducing context loss across sessions.