ContextGO

About ContextGO

Local-first, MCP-free context mesh for AI agents (Claude Code/GSD). | 本地优先、无 MCP、零 Docker 的 AI 辅助开发上下文持久层。

Quick Facts

Stars	24
Forks	5
Language	Python
Category	MCP Server
License	AGPL-3.0
Quality Score	29.25/100
Last Updated	2026-03-25
Created	2026-02-24
Platforms	claude-code, docker, mcp, python
Est. Tokens	~36k

Compatible Skills

These tools work well together with ContextGO for enhanced workflows:

FreeRide — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
bria-skill — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
claude-skill-typst — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
llmesh — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)

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Frequently Asked Questions

What is ContextGO?

ContextGO is Local-first, MCP-free context mesh for AI agents (Claude Code/GSD). | 本地优先、无 MCP、零 Docker 的 AI 辅助开发上下文持久层。. It is categorized as a MCP Server with 24 GitHub stars.

What programming language is ContextGO written in?

ContextGO is primarily written in Python.

How do I install or use ContextGO?

You can find installation instructions and usage details in the ContextGO GitHub repository at github.com/dunova/ContextGO. The project has 24 stars and 5 forks, indicating an active community.

What license does ContextGO use?

ContextGO is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.

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