Other

项目介绍

Context-Engine-AI/Context-Engine 是一个托管在 GitHub 上的开源项目,主要使用 Svelte 编写,采用 Other 许可证,目前获得 395 个 Star、53 次 Fork。

仓库全名
Context-Engine-AI/Context-Engine
开源许可证
Other
Star 数
395
Fork 数
53
未关闭 Issue
7

README 摘要

Context Engine Semantic code search, memory, and symbol intelligence for AI coding assistants. Website · Get Started · License A Note to Our Community We owe you an honest explanation. Context Engine was originally open source. We built it in the open because we believed in the community and wanted developers everywhere to benefit from better code search. Unfortunately, we've seen our work consistently monetized and…

完整内容见 GitHub 原始 README 或本页 。

常见问题

Context-Engine 用什么语言开发?

主要使用 Svelte 编写,采用 Other 许可证,目前有 395 个 Star。

Context-Engine 可以免费商用吗?

仓库标注的许可证为 Other,商用前请先阅读仓库 LICENSE 文件确认授权范围。

如何获取 Context-Engine 的源码?

可以直接克隆仓库:git clone https://github.com/Context-Engine-AI/Context-Engine.git;安装与运行步骤见仓库 README。

Context-Engine 最近还在维护吗?

仓库最近一次更新为 5月22日,当前有 7 个未关闭 Issue;Star 数为 395,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

Context-Engine MCP - Agentic Context Compression Suite

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

语言占比

CSS
Dockerfile
HTML
JavaScript
Makefile
Python
SCSS
Shell
Svelte
TypeScript

Release

README

Context Engine

Context Engine

Semantic code search, memory, and symbol intelligence for AI coding assistants.

Website · Get Started · License


A Note to Our Community

We owe you an honest explanation.

Context Engine was originally open source. We built it in the open because we believed in the community and wanted developers everywhere to benefit from better code search.

Unfortunately, we’ve seen our work consistently monetized and cloned by others without attribution — entire products built on top of our code and sold commercially. After careful consideration, we’ve made the difficult decision to remove the source code from this repository.

We’re sorry. We know this is frustrating, especially for those who contributed, starred, or relied on the public codebase. This wasn’t the outcome we wanted, and we take full responsibility for not protecting the project sooner.

What’s still here:

  • AI agent skills for all major coding assistants (see below)
  • The Context Engine marketing site (context-engine.ai)
  • License, legal notices, and attribution files

What’s available through the platform:

  • Full hosted service at context-engine.ai
  • VS Code extension on the marketplace
  • ctx-mcp-bridge on npm

We remain committed to building the best code intelligence tools for developers. If you have questions, reach out at [email protected].


Install Skills

Context Engine ships AI agent skills that teach your coding assistant how to use 30+ MCP tools for semantic search, symbol graph navigation, memory, and more.

Claude Code / Claude Desktop

The skill is auto-loaded when you connect Context Engine as an MCP server. No manual installation needed.

If you want to add the rules file manually:

# Copy the skill to your project
cp -r skills/context-engine/ your-project/.claude/

# Or reference GEMINI.md / .cursorrules directly — they contain the same rules

Cursor

Context Engine rules are included in .cursorrules at the root of your workspace. Cursor picks this up automatically when the file is present.

# Copy to your project root
cp .cursorrules your-project/.cursorrules

Windsurf / Codex

# Codex skills
cp -r .codex/skills/ your-project/.codex/skills/

# Or use the generic skill file
cp skills/context-engine/SKILL.md your-project/.context-engine-skill.md

Augment Code

cp -r .augment/ your-project/.augment/

Gemini

cp GEMINI.md your-project/GEMINI.md

Any Other Assistant

The core skill file works with any AI assistant that supports custom instructions:

cp skills/context-engine/SKILL.md your-project/

Then tell your assistant: “Read SKILL.md for instructions on using Context Engine MCP tools.”


What Do the Skills Do?

The skills teach your AI assistant to:

  • Use search as the default tool — auto-routes queries to the best backend (semantic search, Q&A, symbol graph, tests, config)
  • Navigate code with symbol_graph — find callers, callees, definitions, importers, subclasses
  • Run batch queries — batch_search, batch_symbol_graph, batch_graph_query for 75%+ token savings
  • Store and recall knowledge — memory_store and memory_find for persistent context across sessions
  • Trace cross-repo flows — cross_repo_search with boundary tracing for multi-repo codebases
  • Find structural patterns — pattern_search for retry loops, error handling, singletons across languages
  • Search git history — search_commits_for and change_history_for_path

See skills/context-engine/SKILL.md for the complete tool reference.


Getting Started

  1. Sign up at context-engine.ai
  2. Install the VS Code extension — search “Context Engine” in the marketplace
  3. Upload your codebase — the extension handles indexing automatically
  4. Start searching — your AI assistant now has access to all 30+ MCP tools

License

Context-Engine Source Available License 1.0

© 2025 Context Engine Inc. and John Donalson.

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