cashcrown // ai memory panel
A memory and knowledge panel for agents: RAG Q&A over your company knowledge, with hundreds of endpoints and BGE-M3 search.
Instead of a chat detached from facts, you get answers with quotes from your documents: 754 endpoints, RAG Q&A, search with BGE-M3. The index and embeddings are self-hosted, so your data stays with you. This is the memory that autonomous agents rely on.
Agents without memory repeat mistakes and lose context. Company knowledge is scattered, and model answers can drift away from the facts.
We assemble this product from measured models and components — see the full live pipeline:
Select a node to see its description and data flow.
We work in ranges that depend on scope — we start with a fixed-cost pilot so you see the value before a larger investment. When the solution takes back a dozen to several dozen hours of work a month, it usually pays off in 2–4 months. Calculate the return in the ROI calculator.
Yes. We connect to your systems through controlled, allow-listed tools, and irreversible actions require confirmation (a human-gate). We mask PII before the cloud and handle sensitive paths locally — GDPR and AI Act compliance designed in from the start.
It is a memory/knowledge layer for agents — answers cited from your own documents, not generic talk.
With you — the index and embeddings are self-hosted (BGE-M3).