
Semantic cache for LLM apps and AI agents
A context-aware semantic cache: when a new query means the same thing as a past one, agents get the cached answer instead of paying again. Open source. Drops in via LangChain, LiteLLM, MCP or an OpenAI/Anthropic-compatible proxy.
Pace needs two or more snapshots. This launch has 1, so velocity and momentum read as unmeasured rather than zero.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.