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Tangerine Index는 ChatGPT 이후 나온 프로덕트와 사람들의 반응을 싣습니다.

token-savior

github.com

MCP server that gets Claude to 97.9% (188/192) on a real coding benchmark at -80% active tokens and -83% wall time, vs 78.3% plain. Structural code navigation + persistent memory engine. Works with every MCP client.

오픈소스

github.com 방문외부 사이트GitHub1,214 스타외부 사이트

설치·연결

공식 MCP Registry, Homebrew, npm, PyPI, crates.io에서 저장소나 도메인으로 맞춰 하루 한 번 가져옵니다.

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비슷한 프로덕트

설명이 비슷한 순

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    81.1% retrieval hit 5, 96.9% token reduce,zero deps

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  2. Mcptoon

    Token-efficient MCP CLI client

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  3. jcodemunch-mcp

    Symbol-level code retrieval for AI agents: fetch the function you need, not the whole file. Runs locally. 96.2% fewer tokens per lookup on average than grep-and-read on our 15-lookup benchmark. Works with Claude Code, Cursor, Codex and any MCP client. Free for non-commercial use; commercial use needs a one-time license.

    GitHub스타 2,837github.com오픈소스최근 반응

  4. solomd

    A markdown editor — and the bridge to your LLM. Local-first, MIT, ~15 MB. Bundled MCP server lets Claude Code / Codex / Cursor drive your vault directly. 14 AI providers BYOK.

    GitHub스타 1,531github.com데스크톱모바일오픈소스최근 반응

  5. claude-code-memory-setup

    Up to 71.5x fewer tokens per session on Claude Code with Obsidian + Graphify. Persistent memory, codebase knowledge graphs, and chat import pipeline. 🇧🇷 PT-BR included.

    GitHub스타 1,061github.com오픈소스최근 반응