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Echo Memory v0.1.0 Alpha

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@questionjie-max questionjie-max released this 27 Sep 11:21
· 80 commits to main since this release
v0.1.0
1c2940a

Echo Memory v0.1.0 Alpha

中文说明见本文件后半部分。

Highlights

  • Local audio import for MP3, M4A, and WAV.
  • Local timestamped transcription, playback seeking, and non-destructive transcript edits.
  • Local structured analysis with source-backed decisions and action items.
  • Project knowledge libraries and local full-text search.
  • User-enabled, local stdio, read-only MCP access for AI tools.

Requirements

This is a macOS source release. It requires Node.js, Rust, local Whisper support, and optionally local Ollama for analysis. No signed installer is provided in this release.

Privacy

The current Alpha keeps audio and transcripts local. MCP is disabled by default, read-only, and does not open a public port.

Known limitations

  • A local Whisper model must be available for real transcription.
  • A local Ollama service and model are required for analysis.
  • Real-world long-recording and offline regression coverage is still being expanded.
  • No cloud sync, mobile client, Windows client, team collaboration, payment system, or MCP write support is included.

回声记忆 v0.1.0 Alpha

主要能力

  • 本地导入 MP3、M4A、WAV。
  • 本地生成带时间点的逐字稿，支持播放定位与非破坏性编辑。
  • 本地结构化分析，并为决策与待办保留原文出处。
  • 项目知识库与本地全文搜索。
  • 用户主动开启的本机 stdio、只读 MCP，供 AI 工具查询历史上下文。

环境要求

这是 macOS 源码发布，需要 Node.js、Rust、本机 Whisper 支持；使用分析功能时还需要本机 Ollama。此版本不提供签名安装包。

隐私边界

当前 Alpha 将音频和逐字稿留在本机。MCP 默认关闭、只读，且不监听公网端口。

已知限制

  • 真实转写需要可用的本机 Whisper 模型。
  • 分析需要本机运行 Ollama 服务与模型。
  • 长录音与断网场景的真实回归仍在持续补充。
  • 不包含云同步、手机端、Windows、团队协作、支付体系或 MCP 写入。
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