Vectoree

Vectoree is a coding tool. Vectoree bundles model access, authentication, a Postgres database, and object storage behind one project key, built so coding agents like Cursor, Claude Code, and Codex can set it up and call it directly.

Vectoree packages the infrastructure a coding agent needs to ship an application: model access, authentication, a Postgres database, and object storage, all reachable through one project key. Instead of wiring separate accounts for an LLM provider, an auth service, a database host, and a storage bucket, a developer installs a skill and CLI that let tools such as Cursor, Claude Code, or Codex bind a project to Vectoree directly, then keep writing code against a familiar OpenAI-compatible endpoint. The console is organized into six blocks: Model Plaza for calling multiple model providers through one gateway, Tool Hub for MCP-based tools such as search and SEO data providers, Templates for starter project skeletons, Auth for email and Google sign-in, a per-project Postgres database, and bucket-based object storage for files. Developers can browse models, query tables, manage buckets, and review usage from the same dashboard the agent is bound to. Vectoree targets three overlapping audiences: startup teams running multiple projects under one organization and shared wallet, individual developers who already have an app and want to consolidate model, auth, database, and storage calls behind one key, and non-technical builders who start from a template, hand the prompt to a coding agent, and let it wire up the backend. Pricing is pay-as-you-go with no monthly subscription; a $5 credit arrives after the first CLI login and project link, and further usage draws from the organization wallet billed per model call. Within the growing field of backend-as-a-service and AI gateway products, Vectoree's distinguishing idea is that the coding agent itself, not a person clicking through dashboards, performs the initial setup: installing the skill, logging in, linking the project, and selecting a model. That workflow suits teams already standardized on agent-driven development more than those wanting a traditional point-and-click backend console.