agenmod

agenmod / immortal-skill

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♾️ 开源数字永生框架 — 从聊天记录蒸馏任何人的七维数字分身。支持微信/飞书/iMessage/Telegram等12+平台，7种角色模板，对齐 OpenClaw Soul Spec 标准。一行指令让你的AI学会蒸馏。

symbiotime.com agent-skills ai-agent chatbot cursor digital-immortality
98
7
100% credibility
Found Apr 03, 2026 at 98 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A collection of tools to gather chat histories from messaging platforms like Discord, Slack, WeChat, and others into a unified Markdown format for preserving personal conversations.

How It Works

1
💭 Discover the memory collector

You hear about a simple tool that gathers all your old chats and messages from different apps to preserve your digital memories forever.

2
📁 Create your personal memory space

You make a special folder just for your life's conversations, picking a name like 'my-family-chats' to organize everything neatly.

3
Connect your chat apps
💬
Group chats like Slack or Discord

Pick team or friend groups to pull in lively discussions.

📧
Emails and personal texts

Add emails or phone messages from iMessage or WeChat for heartfelt notes.

📱
Social archives

Upload saved files from Twitter or WhatsApp to include posts and shares.

4
🔍 Scan and choose conversations

The tool shows you a list of all your chats, and you pick the ones full of precious moments to save.

5
📥 Gather your messages

It quietly collects hundreds of messages with dates and who said what, turning them into easy-to-read stories.

6
💾 Save and version your memories

Everything gets saved in tidy files, and you make snapshots to keep track of updates over time.

🪄 Your digital self is alive

Now you have a complete treasure chest of your life's words, ready to share or revive with AI companions anytime.

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AI-Generated Review

What is immortal-skill?

immortal-skill is a Python framework that pulls chat histories from 12+ platforms like WeChat, Feishu, iMessage, Telegram, Slack, Discord, and more, distilling them into standardized Markdown corpora for AI persona training. It solves the hassle of scraping scattered conversation data across APIs, local databases, and export archives, outputting intake-protocol-ready files aligned with the OpenClaw Soul Spec. With one CLI command, you teach an AI model anyone's "immortal skills" via 7 role templates like self, mentor, or partner.

Why is it gaining traction?

It stands out with dead-simple CLI commands for setup, scan, collect, and import—no custom scripts needed for exotic sources like WeChat SQLite or Twitter archives. The hook is its "immortal skills" workflow: init a skill directory, stamp manifests with fingerprints, snapshot versions, and rollback cleanly, making persona iteration reliable. Python purity keeps deps minimal (requests, telethon), unlike fragmented scrapers.

Who should use this?

AI tinkerers distilling personal "immortal skills capybara" clones from daily chats, indie devs fine-tuning souls on colleague or public-figure data (think palworld immortal skill vibes), or researchers harvesting OpenClaw-spec avatars from Feishu groups or Telegram threads. Skip if you're not into custom LLM personas.

Verdict

Grab it for prototyping immortal skills—CLI shines, platform breadth impresses—but 98 stars and 1.0% credibility score scream early alpha; expect rough edges in auth or edge cases. Solid foundation for soul spec experiments, worth forking if it clicks.

(198 words)

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