CoreBase

CoreBase is an infrastructure layer for building and deploying AI agents that interact with your real data — safely. It gives you connectors, permissions, audit trails, and cost controls right out of the box. You don't need to build your own governance system or integration pipeline. Drop in the widget or SDK, sign a scoped token per user, and your agent can read from databases, REST and GraphQL APIs, and over 50 SaaS apps like Slack, Jira, and Salesforce. The whole point is that the agent works on live data, not stale copies, and you stay in control of what it can see and do.

Under the hood, CoreBase enforces guardrails at every step. You draw the steps your agent works through — what data each step can touch, what actions it can take, and when it must ask for approval. These rails are enforced in code, not just suggested in a prompt. Every message is screened for prompt injection and jailbreaks before it reaches the model. The system also learns your schema over time: Query Memory remembers which SQL queries worked and what your tables mean, so natural-language-to-SQL gets sharper the more you run it. You can bring your own model keys (Claude, GPT, Gemini) or use the built-in AI. Nothing is written unless someone explicitly approves it, and every action is logged.

CoreBase is built for developers who need to ship AI agents that handle real customer data without cutting corners on security. It works equally well for SaaS products that want to offer an AI assistant to their users, and for internal enterprise teams that need governed access to on-prem or legacy systems. If you're building an agent that needs to query orders, invoices, support tickets, or product inventory — and you want per-user isolation and a full audit trail — CoreBase gives you the infrastructure so you don't have to build it yourself.