dandaka

dandaka / traul

Public

Personal Intelligence Engine — aggregates communication streams into a searchable local index

cli discord gmail local-first personal-knowledge
26
4
100% credibility
Found Mar 17, 2026 at 26 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Traul indexes messages from communication platforms like Slack, Telegram, Gmail, Discord, and others into a local searchable database with vector embeddings for AI agents.

How It Works

1
🔍 Discover Traul

You hear about Traul, a helpful tool that gathers all your chats and emails into one easy-to-search spot so your AI helper remembers everything.

2
📥 Set it up

You download and prepare Traul on your computer—it takes just a few minutes and creates a private storage for your info.

3
🔗 Connect your apps

You link your favorite chat apps, emails, and notes so Traul can see conversations from Slack, Telegram, Gmail, and more.

4
📱 Gather your messages

Traul pulls in recent messages from everywhere, building a full picture of your talks without sending anything online.

5
⭐ Search like magic

You ask natural questions like 'What was said about the project delay?' and instantly get the exact messages with smart matching.

6
⏰ Keep it fresh

Turn on automatic updates so Traul always stays current with new chats in the background.

🎉 Your AI has perfect memory

Now your AI assistant pulls context from all your conversations effortlessly, saving you hours of digging around.

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Star Growth

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AI-Generated Review

What is traul?

Traul is a TypeScript CLI that aggregates your Slack, Discord, Telegram, Gmail, Linear, WhatsApp, Claude Code sessions, and Markdown files into a local SQLite index with full-text and vector search via Ollama. It solves the mess of scattered comms by letting your AI agents query everything semantically—no copy-pasting context, no data leaves your machine. Run `traul sync` to pull streams, `traul search "deployment issue"` for hybrid results, or `traul daemon start` for background updates.

Why is it gaining traction?

Unlike cloud RAG services, traul runs fully local with privacy-first design, daemon polling, and agent-friendly output. Devs dig the semantic search for vague recalls like "that Claude Code pricing link," plus stats/channels browsing. Its personal intelligence AI angle hooks those building custom agent memory without API costs.

Who should use this?

Indie hackers tracking projects across Telegram/Slack/Linear, AI tinkerers feeding agents unified chat history, or devs prepping calls by searching Gmail/Discord contacts. Ideal for personal GitHub Copilot users juggling work streams or monitoring competitor Discords.

Verdict

Promising early tool for personal intelligence frameworks (1.0% credibility score matches 26 stars and prototype maturity), with strong CLI/docs but needs more connectors/tests. Grab it if agent context hunting frustrates you—sync once and iterate.

(198 words)

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