Firebase gives your agents a database. We give them a memory and a conscience.
Every InvisibleDB seat ships with the ZeroAI agent OS: persistent memory, a tamper-evident audit ledger, a permission broker, and deterministic lifecycle gates. Your agents stop hallucinating state — because state lives outside inference, on infrastructure you own.
Deterministic systems around your models
Inference proposes. Deterministic systems decide. Evidence proves. Memory preserves. Policy authorizes. Four planes ship with every seat:
Memory plane
ZeroMemory keeps compact, durable agent state — facts, decisions, open issues — instead of replaying entire chat histories. Your agent wakes up knowing what it knew yesterday.
Observation plane
ZeroLedger records every meaningful agent action as a hash-chained, tamper-evident event. Not "the agent says tests passed" — exit codes, artifacts, and evidence, certified by the system.
Policy plane
ZeroPolicy is a deterministic permission broker: read, write, deploy, charge, merge — each scoped per agent and environment. Models request authority. They never manufacture it.
Control plane
ZeroGate puts deterministic gates on every important transition: typecheck → tests → security → release. A failed gate blocks the next state because the state machine says so — not because the AI felt like it.
Execution plane
Agents act through typed tools and schemas — database operations, API calls, deployments — with retries, timeouts, and resumable task graphs. Never rely on the model to remember the workflow.
Instruction plane
Specialized agent definitions — architect, backend, qa, security, release — with versioned instruction sets and input/output schemas. Swap the model behind any agent without changing the architecture.
Agents provision backends. Humans approve.
Most new backends will be spun up by an AI agent, not a human clicking a dashboard. So InvisibleDB speaks fluent agent:
MCP server
A first-class Model Context Protocol server. Your coding agent provisions projects, manages collections, and queries data conversationally — no dashboard required.
REST API
Every operation — projects, keys, data, vector search — is a typed HTTP endpoint. Script it, automate it, build on it.
CLI
idb init, idb deploy, idb logs — the full backend lifecycle from your terminal, and therefore from your agent's terminal too.
Teach your agent InvisibleDB in one page
A single machine-readable guide your agent loads at session start: how to provision, how to query, how the ZeroAI planes work, and the evidence rules it must follow. Point any capable agent at it and it becomes a competent InvisibleDB operator.
The guide ships with every seat and lives in your project repo. Your agent reads it; the deterministic planes enforce it.
Give your agents infrastructure with a memory.
First seat is $1. The agents are already waiting.
Get started with InvisibleDB