Tool aims to cut Claude code-task token use by up to 40%
claude-context-optimizer-agent is an tool for preparing codebase content before sending it to . Its goal is to reduce the number of tokens Claude needs to read by up to 40% while keeping the strict meaning of the code intact.
It works as a optimizer and codebase packer, meaning it tries to fit useful code information into Claude’s limited input space more efficiently. For AI , smaller inputs can lower cost and may let the model consider more relevant project code within the same limit.
Key points
- The tool targets coding workflows.
- It packs codebase content into a smaller input for the model.
- It claims to reduce token use by up to 40%.
- It aims to preserve the strict meaning of the code.
- It could help lower AI agent costs for tasks.