
Fixes prompt cache regression in Claude Code that causes up to 20x cost increase on resumed sessions

Fixes prompt cache regression in Claude Code that causes up to 20x cost increase on resumed sessions
A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while improving response times.
Own your LLM's web search: a local search->fetch->rank pipeline that replaces hosted web-search tools. Measured: matches hosted accuracy at 66% lower cost and up to 88% fewer tokens, plus a precision-tuned semantic caching with query-dependant TTL that no API offers.
Turn PDF and EPUB books into cached AI analysis, Obsidian notes, and installable Codex/Claude Agent Skills through an open MCP server.
Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.