Kit For AI gives agents persistent memory and grounded knowledge. Developers can drop in files or URLs and let agents call native MCP tools to retrieve, save, and reuse context, avoiding the need to build and babysit a RAG stack. It exposes one API and works with any model.
Features
- Persistent agent memory
- Grounded knowledge
- Native MCP tools
- File and URL ingestion
- Unified API
- Works with any model
Use Cases
- Long-term agent context
- MCP memory tools
- Knowledge-base retrieval
- RAG stack replacement
- Project material reuse
- Multi-model agent applications
FAQ
Kit For AI gives agents persistent memory and grounded knowledge. Developers can drop in files or URLs and let agents call native MCP tools to retrieve, save, and reuse context, avoiding the need to build and babysit a RAG stack. It exposes one API and works with any model. Core capabilities include: Persistent agent memory, Grounded knowledge, Native MCP tools.
Common scenarios include: Long-term agent context, MCP memory tools, Knowledge-base retrieval.
