Context FAQs

Question 1

Which AI agents are compatible with Context?

Accepted Answer

Context is MCP-compatible and integrates with popular AI agents and IDEs such as Claude Code, Claude Desktop, Cursor, OpenAI Codex, VS Code (GitHub Copilot), Windsurf, Zed, and Goose.

Question 2

How does Context prevent AI agents from using outdated information?

Accepted Answer

Context integrates a community-driven registry of 100+ pre-built documentation packages. AI agents automatically download and query these local docs, ensuring they use the latest library versions and APIs.

Question 3

What is Context?

Accepted Answer

Context is a tool that provides up-to-date, local-first documentation for AI agents, enabling them to deliver accurate and instant responses by accessing current information instead of outdated training data.

Question 4

What are the advantages of Context's local-first architecture?

Accepted Answer

Its local-first architecture ensures fast (under 10ms queries), offline access, enhanced privacy (data stays on your machine), no costs, and greater reliability without relying on external services.

Question 5

Can I use Context with my own custom documentation or private repositories?

Accepted Answer

Absolutely. Beyond the community registry, Context allows you to build custom documentation packages from Git repositories, local directories, or specific versions, supporting Markdown, AsciiDoc, reStructuredText, and HTML.

Context

Context

主要功能

使用案例

主要功能

使用案例