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Tangerine Index는 ChatGPT 이후 나온 프로덕트와 사람들의 반응을 싣습니다.

contextplus

github.com

Semantic Intelligence for Large-Scale Engineering. Context+ is an MCP server designed for developers who demand 99% accuracy. By combining RAG, Tree-sitter AST, Spectral Clustering, and Obsidian-style linking, Context+ turns a massive codebase into a searchable, hierarchical feature graph.

오픈소스

github.com 방문외부 사이트GitHub1,991 스타외부 사이트

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비슷한 프로덕트

설명이 비슷한 순

  1. context-space

    Ultimate Context Engineering Infrastructure, starting from MCPs and Integrations

    GitHub스타 814github.com오픈소스최근 반응

  2. CodeGraphContext

    An MCP server plus a CLI tool that indexes local code into a graph database to provide context to AI assistants.

    GitHub스타 4,403github.comCLI오픈소스최근 반응

  3. GrapeRoot

    Compounding Context for AI Coding Assistants — MCP graph engine for Claude Code, Cursor, Copilot, Gemini, OpenCode

    GitHub스타 1,047github.com오픈소스최근 반응

  4. context-ontology-accelerator

    An open-source, ontology-based semantic context accelerator that enables AI agents to make more accurate, consistent, and explainable decisions.

    GitHub스타 1,096github.com오픈소스최근 반응

  5. context-portal

    Context Portal (ConPort): A memory bank MCP server building a project-specific knowledge graph to supercharge AI assistants. Enables powerful Retrieval Augmented Generation (RAG) for context-aware development in your IDE.

    GitHub스타 768github.com오픈소스최근 반응