Kit for AI
Kit for AI is a platform that gives AI agents persistent memory and grounded knowledge through a simple API and MCP server. It ingests any document—PDF, Word, Excel, PowerPoint, CSV, HTML, images (with OCR), and even YouTube videos—converting them to clean Markdown, then chunking, embedding, and indexing them in searchable knowledge bases. Agents can natively call memory tools (remember, recall, search) directly within conversations, avoiding context loss between sessions. The platform includes scheduled URL refresh, batch processing, and JSON extraction, eliminating the need to build and maintain a custom RAG stack.
- Category
- AI Knowledge Base
- Pricing
- Unknown
Problem solved
AI models and agents lose context between sessions and cannot directly read many file formats, forcing developers to repeatedly re-prompt and build complex retrieval pipelines from scratch.
Use cases
- Persistent agent memory across conversations
- Converting documents into AI-ready Markdown
- Creating searchable knowledge bases from files and URLs
- Scheduling automatic content refreshes
- Extracting structured JSON from unstructured documents
- Building RAG applications without infrastructure overhead
Audience
- Developers
- ML Engineers
- Data Scientists
- Startups
Pros
- Instant agent memory with native MCP tools
- Broad document format support including images and video
- Removes burden of building and maintaining RAG pipelines
- API-first design with REST and MCP interface
- Handles OCR out of the box
Cons
- Pricing details not publicly available
- Early-stage product (v0.2.0) with uncertain stability
- No self-hosted option apparent, limiting data sovereignty
- Limited documentation on advanced features
- Dependent on external service for core AI functionality
Official website: https://kitforai.com/
Canonical LambdaBase page: https://www.lambdabase.com/tools/kit-for-ai