WhatsApp Memory Vault

Ingests full WhatsApp exports, transcribes 1k+ voice notes, cross-checks with git logs, outputs linked markdown reports.

The WhatsApp Memory Vault is a community project that turns WhatsApp chat exports into a searchable, cross-referenced knowledge base. It ingests full WhatsApp export files (including media), transcribes 1,000+ voice notes using OpenAI Whisper, cross-checks timestamps with git logs and calendar events, and outputs comprehensive linked Markdown reports that reconstruct project timelines and decision histories. The real power is in the cross-referencing. WhatsApp conversations often contain critical decisions, verbal agreements, and context that gets lost in the endless scroll. This tool extracts that context, links it to contemporaneous git commits and calendar entries, and produces a timeline that shows what was discussed alongside what was actually built. For teams that make decisions in WhatsApp (common in startup and freelance contexts), this creates an audit trail that otherwise doesn't exist. The voice note transcription is the heaviest processing step — transcribing 1,000+ voice notes through Whisper takes significant compute time but produces searchable text from content that would otherwise be locked in audio. The final output is a set of Markdown files with internal links, making the reconstructed knowledge navigable. Users have applied this to reconstruct project histories, resolve contract disputes, and build comprehensive project documentation from informal chat records.

Tags: memory, transcription, indexing, whatsapp

Category: knowledge

Tips

  • Export WhatsApp chats with media included (Settings → Chats → Export Chat → Include Media) for voice note transcription
  • Run voice note transcription in batches — 1,000+ audio files through Whisper takes hours, so start the process overnight
  • Point the git log cross-reference at the relevant repositories to link discussions to actual code changes
  • Use the output Markdown files as input for your OpenClaw agent's memory system — making historical decisions searchable in conversation
  • Redact sensitive information before sharing reports — the tool extracts everything, including potentially private discussions

Community Feedback

Ingests full WhatsApp exports, transcribes 1k+ voice notes, cross-checks with git logs, outputs linked markdown reports. Your chat history becomes a searchable knowledge base.

— OpenClaw Showcase

The WhatsApp Memory Vault saved a client project — we reconstructed 6 months of decisions and feature discussions from chat exports that nobody would have scrolled through manually.

— OpenClaw Community

Frequently Asked Questions

How long does it take to process a large WhatsApp export?

Text processing is fast (minutes), but voice note transcription is the bottleneck. Expect roughly 1-2 hours per 500 voice notes using Whisper locally, faster with GPU acceleration or cloud Whisper API.

Does it handle group chats or just 1:1 conversations?

Both. Group chats are actually more valuable for this tool since they contain multi-stakeholder decisions and discussions. The output preserves sender attribution for each message.

What format does the WhatsApp export need to be in?

Standard WhatsApp export format (the .txt file plus media folder that WhatsApp generates). The tool parses the date/time/sender format automatically. Works with both Android and iOS exports.

Can I use this without the git log cross-referencing?

Yes. The git log integration is optional. The core functionality — chat parsing, voice note transcription, and Markdown report generation — works standalone. The cross-referencing is an enhancement for development-oriented projects.