Category: Building Jarvis
Open research notes on building Jarvis — a persistent, self-improving AI agent. One paper at a time.
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Total Recall: Pointer-Based Compaction and Task-Conditioned Retrieval for Persistent LLM Agents
Most AI agents compact old context by summarizing it — quietly losing the one detail that mattered. Total Recall is a lossless, event-sourced memory architecture that evicts with recoverable pointers instead of summaries, and keeps memory bounded. Read more