Automatically reduces token usage in Claude Code sessions using algorithmic optimizations like code compression, smart file reading, output summarization, and prompt rewriting, with no extra API calls or cost.
Enables Claude to delegate coding tasks to local Ollama models, reducing API token usage by up to 98.75% while leveraging local compute resources. Supports code generation, review, refactoring, and file analysis with Claude providing oversight and quality assurance.
Reduces token consumption for AI coding agents by 50-70% through intelligent code context filtering, Git delta tracking, and local SQLite/Tree-sitter indexing.
Automatic token optimization for Claude Code that extends session duration by reducing wasted tokens across effort tuning, file reads, tool cost, context health, and task classification.