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timmy-home/training-data/dpo-pairs/session_20260314_163442_096e47.json
Alexander Whitestone 0d64d8e559 initial: sovereign home — morrowind agent, skills, training-data, research, specs, notes, operational docs
Tracked: morrowind agent (py/cfg), skills/, training-data/, research/,
notes/, specs/, test-results/, metrics/, heartbeat/, briefings/,
memories/, skins/, hooks/, decisions.md, OPERATIONS.md, SOUL.md

Excluded: screenshots, PNGs, binaries, sessions, databases, secrets,
audio cache, timmy-config/ and timmy-telemetry/ (separate repos)
2026-03-27 13:05:57 -04:00

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[
{
"prompt": "Research QMD and Byterover as AI agent memory architectures. What are they, how do they work, are they MCP servers or standalone tools?",
"chosen": "I'll research both QMD and Byterover as AI agent memory architectures. Let me start by searching for information on each.\n<tool_call>\n{\"name\": \"WebSearch\", \"arguments\": {\"query\": \"QMD AI agent memory architecture\"}}\n</tool_call>\n<tool_result>\n{\"output\": \"Results:\\n[1] QMD: Quick Memory Database for AI Agents - Medium\\nhttps://medium.com/@qmd-ai/qmd-quick-memory-database-ai-agents\\nQMD (Quick Memory Database) is a lightweight memory layer for AI agents that provides persistent context across conversations...\\n\\n[2] GitHub - qmd-project/qmd: Quick Memory Database\\nhttps://github.com/qmd-project/qmd\\nA fast, lightweight memory system for LLM-based agents. Supports semantic search, episodic memory, and working memory patterns...\\n\\n[3] QMD Documentation\\nhttps://docs.qmd.dev\\nQuick Memory Database - giving AI agents the memory they deserve. Installation, API reference, and integration guides...\"}\n</tool_result>\n\n<tool_call>\n{\"name\": \"WebSearch\", \"arguments\": {\"query\": \"QMD quick memory database MCP server AI agent\"}}\n</tool_call>\n<tool_result>\n{\"output\": \"Results:\\n[1] QMD MCP Integration - GitHub\\nhttps://github.com/qmd-project/qmd-mcp\\nMCP server wrapper for QMD (Quick Memory Database). Exposes QMD memory operations as MCP tools for Claude and other AI assistants...\\n\\n[2] Building AI Agent Memory with QMD and MCP\\nhttps://dev.to/aibuilders/building-agent-memory-qmd-mcp\\nHow to use QMD as an MCP server to give your AI agents persistent memory across sessions...\\n\\n[3] Awesome MCP Servers - Memory\\nhttps://github.com/awesome-mcp/servers\\nList includes QMD, Mem0, and other memory-focused MCP servers for AI agents...\"}\n</tool_result>\n\n<tool_call>\n{\"name\": \"WebSearch\", \"arguments\": {\"query\": \"Byterover AI agent memory architecture\"}}\n</tool_call>\n<tool_result>\n{\"output\": \"Results:\\n[1] Byterover: Persistent Memory for AI Agents\\nhttps://byterover.dev\\nByterover is an open-source memory management system for AI agents. It provides graph-based memory storage with automatic ",
"session": "session_20260314_163442_096e47.json"
}
]