Headroom: A Context Compression Layer for AI Agents
An introduction to Headroom, a context compression layer for AI agents and LLM applications that reduces token usage before tool outputs, logs, files, and RAG chunks reach the model.
Context Engineering
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Agents Need More Than Models: Context Infrastructure Is Taking Shape
OpenViking, Mirage, and SkillOpt show that AI agent systems are moving beyond model calls toward context databases, virtual filesystems, and optimizable skills.
