为什么值得关注

它结合了优先捕获的日常信息流、LLM 驱动的知识库、智能检索和夜间整合——所有操作都使用你自己的 API 密钥，并具有严格的架构和多租户行级安全。

适合谁使用

想要建立个人知识库的知识工作者和笔记爱好者
构建自托管、注重隐私的知识系统的开发者
希望自己掌控 LLM 密钥的隐私意识用户
需要离线优先移动捕获及同步的用户

典型使用场景

快速通过文字或语音捕捉日常中的零散想法
自动将捕获的笔记提炼为结构化的、互相链接的知识库
用自然语言提问你的个人知识库
运行夜间整合流程确保知识库连贯性，无需手动干预

项目优势

优先捕获设计，输入想法的摩擦几乎为零
自带密钥（BYOK）模式——绝不与服务分享凭证
离线优先的 Flutter 应用，提供 stub 模式可无需密钥探索
严格的 crate 分层规则和 CI 强制架构保证了可维护性

使用前须知

需要自带 LLM API 密钥（不内置模型）
完整后端运行依赖 PostgreSQL 16 和 Redis 7
项目仍处于早期阶段——路线图显示当前重点是完善开源基础，而非广泛的提供者覆盖

README 快速开始

🧠 QCue

A capture-first “second brain” that turns fleeting thoughts into a living, linked knowledge wiki — powered by your own LLM keys.

English · 简体中文

[!NOTE] BYOK — bring your own key. QCue runs entirely against your own model-provider key. It never ships, brokers, or sees your credentials, and the whole product runs keyless and offline in stub mode so you can explore it in seconds.

QCue is an open-source knowledge, memory, and semantic-recall system. Dump fleeting ideas — typed or spoken — into a fast daily feed; a bring-your-own-key LLM continuously distills that stream into a persistent, interlinked Markdown wiki ([[wikilinks]], an index.md, a log.md) that you can browse, query by recall, and open in any Markdown editor. A nightly Auto-Dream pass keeps the knowledge base coherent.

📑 Table of contents

✨ What is QCue


🎙️ Capture-first	Type or speak. Ideas land in an append-only daily feed with zero friction — the cost of capturing a thought should be near zero.
🔗 LLM-wiki	A BYOK model distills your feed into a Karpathy-style Markdown wiki of entity / concept / source pages, woven together with `[[wikilinks]]`.
🔎 Agentic recall	Ask in natural language. The model generates its own search patterns over full-text search + curated memory and answers from your wiki.
🌙 Auto-Dream	A nightly consolidation pass compounds and tidies the wiki — cost-checked before any provider call, with edits proposed through a reversible approve gate.
🔌 BYOK & provider-agnostic	One ha

项目描述

Your second brain - capture your mind

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