Kit For AI - The memory layer for AI agents

What it does

Kit For AI is a platform that provides persistent memory and grounded knowledge for AI agents. It offers native MCP (Model Context Protocol) tools that agents call directly, eliminating the need to build and maintain a RAG stack. Users can upload files (PDF, DOCX, images, etc.), URLs, or YouTube videos, and the system converts them into clean Markdown, chunks, embeds, and makes them searchable. Key features include:

Memory tools: remember, recall, and search as MCP tools for agents to store and retrieve user preferences and cross-session data.
Document conversion: Turn any file or URL into clean Markdown or structured JSON, including OCR for images.
Semantic search: Hybrid retrieval combining vector embeddings and full-text search with reranking.
Knowledge bases: Group documents into searchable KBs with cited answers.
Token efficiency: Up to 90% fewer tokens by retrieving only relevant passages.
Privacy: Encryption at rest, isolated projects, and data never used for training.

Who it is for

Kit For AI is designed for developers and teams building AI agents, RAG pipelines, or any application where an LLM needs persistent memory and grounded knowledge. Use cases include:

AI agents that need cross-session memory for users (e.g., preferences, decisions).
RAG pipelines where documents must be chunked, embedded, and retrieved without building infrastructure.
Support bots that require cited answers from internal documentation.
Data extraction from invoices, forms, or reports to structured JSON.
Fine-tuning datasets from document libraries.
Knowledge base builders converting internal docs into searchable repositories.

The platform works with any model (OpenAI, Claude, Gemini, Mistral, etc.) and integrates via MCP or REST API.

Why it matters

AI agents often suffer from “goldfish memory” – every session starts from scratch, and documents are trapped in formats models can't read. Building a RAG stack typically requires stitching together a vector DB, parser, embedder, and reranker, all of which must be maintained. Kit For AI solves this by offering a single API that handles conversion, memory, and retrieval. It reduces token consumption and latency by targeting only relevant passages, and it provides cited answers for trustworthiness. The platform is private by default and eliminates the yak-shaving of infrastructure management.

Launch signal

Kit For AI launched on Product Hunt on July 26, 2024, as part of Vercel Day. The maker is Aymen. At launch, it had 46 followers and was tagged under AI Infrastructure and LLM Developer Tools. The product is free to start with a freemium tier (20 chat messages/month, 10 files, 5 videos, 1 knowledge base) and paid plans in invite-only alpha (Pro: 1,500 messages, 2,000 files, 150 videos, 25 KBs, 25 GB; Business: 10,000 messages, 20,000 files, 1,000 videos). The website shows it has processed 100K+ documents, 300K+ files, and supports 500+ formats.

Brand and naming

The name “Kit For AI” clearly positions the product as a toolkit or kit that provides essential components for AI agents. The tagline “The memory layer for AI agents” succinctly describes the core value proposition. The brand emphasizes simplicity and infrastructure – one API to replace a complex stack. The use of MCP (Model Context Protocol) shows alignment with emerging standards.