Kit for AI is a platform that gives AI agents persistent memory and grounded knowledge by converting documents, URLs, and videos into clean, structured data, eliminating the need for complex RAG stacks. It offers a single API to manage memory, convert files, and search knowledge bases, ensuring your AI retains context across sessions and accesses information from any source.
Key benefits include:
- Persistent AI Memory: AI agents "remember, recall, and search" across sessions using REST or MCP, with auto-created knowledge bases and versioned memory.
- Any Document, Instantly Grounded: Convert PDFs, Word, Excel, images (OCR), URLs, and YouTube videos into clean Markdown, with batch processing and scheduled URL refreshes.
- Semantic Search & Reranking: Find information by meaning (vectors) and exact terms (full-text), with reranking to prioritize relevant passages.
- YouTube Video Chat: Transcribe captioned YouTube videos into searchable knowledge bases for AI agents to cite and chat with.
- LLM Integration: Works with OpenAI, Claude, Gemini, and other models via MCP, enabling seamless agent setup without SDKs or glue code.
Perfect for AI developers, ML engineers, and builders creating AI agents, RAG pipelines, or knowledge bases who need persistent memory and clean structured data without managing complex infrastructure.
