PrimeAgentOrchestrator: Memory-Primed Agent Spawning for Personal AI Infrastructure
Key takeaway
Large language model (LLM) coding agents start each session with an empty context window, discarding accumulated knowledge from prior work.
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From ArXiv cs.AI
Large language model (LLM) coding agents start each session with an empty context window, discarding accumulated knowledge from prior work. We present PrimeAgentOrchestrator (PAO), a system that spawns new instances of Claude Code -- Anthropic's terminal-based coding agent -- pre-loaded with relevant memories compiled from the user's existing personal databases. At spawn time, PAO queries two independently-operated memory backends in parallel (a Po
By Myron Koch (Peak Summit Labs)