Localthink FAQs

Question 1

What are the main requirements to get started with Localthink?

Accepted Answer

You need Ollama installed and running, the Claude Code CLI, and Python 3.10+. Installation is straightforward using `claude mcp add localthink`.

Question 2

How much can Localthink reduce token usage?

Accepted Answer

You can achieve up to 30x token savings for large file interactions. For instance, a 16 KB file query might cost ~134 tokens via `local_answer` instead of ~4,100 tokens directly.

Question 3

Is Localthink secure and private? Does it send my data externally?

Accepted Answer

Yes, Localthink is designed for local-only use. All processing runs on your machine via Ollama, ensuring no data leaves your system and maintaining full privacy.

Question 4

What is Localthink and how does it benefit Claude Code users?

Accepted Answer

Localthink is a tool that offloads large file queries from Claude Code to a local LLM (Ollama) for efficient context compression, dramatically reducing token usage and preserving Claude's context window.

Question 5

What specific functionalities does Localthink provide?

Accepted Answer

It offers `local_answer` for querying large files without loading them, `local_summarize` to compress in-context text, and `local_extract` to pull specific, cited passages from documents.

Localthink

主要功能

使用案例

Localthink

主要功能

使用案例