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murmurvault

PyPIInfrastructure

No liveness check has reached it yet; it is registered on GitHub and PyPI and has been in the index since 13 Oct 2026. How this is checked

murmurvault is a local-first tool for recording meetings and voice notes, transcribing speech, and searching recordings semantically. It supports diarization and is distributed as an open-source Python package for privacy-conscious users and developers.

Inferred · not functionally tested

Open SourceBSD-3-ClauseCLISelf-hosted
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Overview

6 features

Purpose: Recording, transcribing, and searching meetings and voice notes without sending data to a hosted service.

Inferred · not functionally tested

Audience: developers and privacy-conscious users managing meetings and voice notes

Inferred · not functionally tested

Functions: speech_to_text, rag

Inferred · not functionally tested

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: BSD-3-Clause · platforms: CLI · deployment: cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

In the Speech to text space, murmurvault takes a focused approach. Inferred · not functionally tested: Recording, transcribing, and searching meetings and voice notes without sending data to a hosted service. Inferred · not functionally tested: murmurvault is an open-source project aimed at developers and privacy-conscious users managing meetings and voice notes. Basis unknown · not verified: The project is open source (BSD-3-Clause). Basis unknown · not verified: It ships for the command line, and it can be self-hosted.

Behind murmurvault is Isaac C. F. Wong, and it first shipped in 2026. Development happens publicly on GitHub with 13 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are Local Recording, Speech Transcription, and Semantic Search.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Local Recording
  • Speech Transcription
  • Semantic Search
  • Speaker Diarization
  • Voice Notes
  • Meeting Capture

Topics: Inferred · not functionally tested

Tags
local-transcriptionvoice-notesmeeting-recordingsemantic-searchspeaker-diarization
AI capabilities
TextAudio
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
local_oss
Runs on
CLISelf-hosted

Trust & compliance

License
BSD-3-Clause
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed13 Oct · 06:45 UTC
    murmurvault seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about murmurvault

What is murmurvault?
Inferred · not functionally tested: Recording, transcribing, and searching meetings and voice notes without sending data to a hosted service. It is catalogued under Speech to text on PulseGate.
Who should use murmurvault?
Inferred · not functionally tested: murmurvault is an open-source project built for developers and privacy-conscious users managing meetings and voice notes.
Does murmurvault have a free plan?
Basis unknown · not verified: Yes — murmurvault is open source under the BSD-3-Clause license and free to use.
What platforms does murmurvault run on?
Basis unknown · not verified: murmurvault runs on the command line. It can also be self-hosted.
Is murmurvault still active?
The GitHub repository shows 13 commits in the last 90 days.
What projects are similar to murmurvault?
Similar projects tracked by PulseGate include Transcription Page, Sayburst, and Audio Transcriber AI.Transcription PageSayburstAudio Transcriber AI
Who develops murmurvault?
murmurvault is developed by Isaac C. F. Wong.
When did murmurvault launch?
murmurvault first shipped in 2026.

Also in Speech to text

Same category — not a similarity match

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