Kit for AI

Kit for AI is a memory and knowledge layer for AI agents that turns files, URLs, videos, and other sources into searchable, grounded context. It exposes document conversion, semantic search, knowledge bases, and memory through MCP and REST interfaces so agents can retrieve relevant information without repeatedly sending entire documents. The product is designed for builders who need persistent context for AI applications and agent workflows. Users can upload documents, fetch URLs, process YouTube videos, create knowledge bases, search by meaning, and connect the resulting tools to Claude, Cursor, or other MCP clients. Kit for AI also provides structured JSON extraction on its Pro tier and scheduled URL refreshes for sources that change over time. The workflow is useful for RAG systems, agent memory, internal knowledge, and document heavy automation. Kit for AI differentiates itself by combining conversion, hybrid retrieval, memory, MCP access, and privacy focused infrastructure in one service. Its current pricing lists a free tier, Pro at invite only, and Business at invite only. The free tier includes 20 document chat messages per month, 10 file or web conversions, and 5 video conversions. Buyers should confirm invite availability, quotas, storage, and API limits before adopting it for production. For FutureStack, Kit for AI belongs in Developer Tools because its primary buyer intent is adding memory and grounded retrieval to AI applications and agents. It is best for MCP agents, RAG pipelines, document ingestion, and persistent context. Developers who already operate a full retrieval stack may prefer more control over infrastructure.