
CypraDB is a two-agent AI system that turns any production database into a chat interface without ever handing the AI write access — one agent writes and checks a read-only query, a second writes the answer.
THE CHALLENGE
Non-technical teams need one number from the database and have to interrupt an engineer. SQL isn't the barrier — knowing which table and what a field like “status” means in this schema is.
THE SOLUTION
The Database Engineer agent reads the schema plus a human-authored Schema Story, writes and self-checks a query, and executes it read-only. The Report Writer agent turns rows into a written answer.
Ask in plain English — no table names or query syntax required
No inserts, updates, or deletes — schema-qualified queries only, with result sizes capped
A fast, cheap model for SQL and your best model for the writing — five providers, including a fully local option
Query generation and report writing run as separate steps, on separate models
Encodes the tribal knowledge a raw schema can't — what a column actually means, per table
Connect, disconnect, or swap databases from one settings panel, with live status
How Cypradb Works
No SQL, no table names
Writes + self-checks the query
Read-only execution, capped rows
Turns rows into a written answer
Human-authored context
Where It Gets Used
Ask how many customers signed up last month, no SQL client.
A formatted written report instead of a raw row dump.
A local Ollama model keeps query generation inside the network.
One workspace, several Postgres/MySQL instances, each scoped.
| Starter Contact sales |
Business Contact sales |
Enterprise Contact sales |
|---|---|---|
| Single database connection | Everything in Starter | Everything in Business |
| One LLM provider | Multiple database connections | Local / Ollama deployment option |
| Standard support | Per-connection model configuration | Guided Schema Story onboarding |
| Priority support | Custom SLAs |

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