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OrionArchitekton
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import-conversation-logs

Ingest conversation logs from multiple AI chat platforms into a unified messages_v2 table.

Updated Aug 23, 2026
Search Tags:#logs#data pipeline#memory#ingestion#ai chat#conversations
One-click install
npx skills add https://github.com/OrionArchitekton/cosmocrat-core --skill import-conversation-logs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: import-conversation-logs
Source: https://github.com/OrionArchitekton/cosmocrat-core/tree/main/skills/ops/import-conversation-logs
Command: npx skills add https://github.com/OrionArchitekton/cosmocrat-core --skill import-conversation-logs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the ingestion of chat conversations from various AI platforms into a unified database, forming the essential foundation for the memory pipeline.

Core Features & Use Cases

  • Unified Data Ingestion: Consolidates messages from ChatGPT, Claude, Gemini, Cursor, Codex, and Grok.
  • Memory Pipeline Foundation: Ensures all other skills have access to a comprehensive conversation history.
  • Use Case: Automatically import all your daily interactions with AI assistants, ensuring no valuable insights or context are lost and are available for future analysis or retrieval.

Quick Start

Run the import-conversation-logs skill to ingest today's conversations from all configured AI chat platforms.

Frequently Asked Questions about import-conversation-logs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I import conversation logs from multiple AI chat platforms into a unified database?▼

To import conversation logs, ingest data from ChatGPT, Claude, Gemini, Cursor, Codex, and Grok exports into a unified messages_v2 table. This consolidates diverse AI chat formats into a single memory pipeline foundation.

What export formats are supported for AI chat ingestion?▼

AI chat ingestion supports OpenAI, Anthropic, Google, and SQLite export formats. These file types are processed and mapped into a unified messages_v2 table for consistent memory pipeline access.

Does this memory pipeline enforce data retention and access rules for ingested conversations?▼

Yes, the memory pipeline enforces a strict memory contract for conversation messages and topics. It applies permanent retention and service-only access mode to ensure data integrity and security.

Can I use SQLite to consolidate chat history from different AI assistants?▼

Yes, you can use SQLite export formats to consolidate chat history. The ingestion process maps SQLite data alongside OpenAI, Anthropic, and Google formats into a unified messages_v2 table.

What is the best way to build a memory pipeline foundation from AI chat logs?▼

The best way to build a memory pipeline foundation is automating the ingestion of daily AI chat logs. This ensures all conversation history is captured in a unified database for future analysis and retrieval.

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