Vectoree
Vectoree
Give your coding agent a backend — models, auth, database and storage in one cloud.
Overview
Vectoree gives your AI agent a backend. Everything an agent needs to ship — models, auth, database and storage — lives in one cloud, from demo to production.
Model Plaza — One project key across providers (xAI, OpenAI, Google, Anthropic, DeepSeek and OpenAI-compatible). Browse the catalog, probe from the CLI, and call chat completions from your server. Start with vectoree/auto.
Auth — Email and Google sign-in for your app users, configured in the dashboard.
Database — Postgres tables, schema and SQL from the dashboard or vectoree db; your agent can create a table without spinning up a server.
Storage — Buckets and file uploads for avatars, assets and user content, public or private.
How it works: your coding agent installs the Vectoree skill (https://vectoree.ai/SKILL.md), logs in and links a project with the CLI (npx @vectoree/cli login), picks a model, then calls the OpenAI-compatible gateway (https://vectoree.ai/api/v1) or creates tables. Works with Cursor, Claude Code, Codex and other coding agents.
Pricing: pay-as-you-go for tokens, no monthly fee (freemium). New accounts get $5 welcome credit after CLI login and link; then top up the org wallet via Stripe, billed per model. Rates: https://vectoree.ai/#pricing
Why choose Vectoree: one backend instead of wiring provider SDKs, Clerk or Auth0, a spare database, and homemade storage yourself. One project key reaches many models through an OpenAI-compatible gateway. The same console covers Auth, Postgres, and object storage. Your app keeps the OpenAI SDK and only changes base URL and key.
FAQ
What is Vectoree? A backend for coding agents and the apps they ship. Model calls, user login, Postgres, and object storage sit in one console behind one project key.
Who is it for? Teams with several projects under one org, developers who want models, auth, database, and storage on one key, and people who let Cursor, Claude Code, or Codex wire Vectoree.
How is it different from calling OpenAI directly? One provider gives you that provider’s models only. Vectoree uses one project key across many providers, and the same project also gets Auth, Postgres, and storage.
Does it include auth, database, and storage? Yes. Auth is email and Google sign-in. Database is Postgres. Storage is public or private buckets. Tool Hub is in the console for agent-callable tools.
How does pricing work? No monthly fee. Sign-up basics are free; linking a project adds $5 welcome credit. Later usage bills from the organization wallet via Stripe, per model catalog prices. An empty wallet cannot call the gateway. Exact rates: https://vectoree.ai/#pricing
Which coding agents work? Cursor, Claude Code, Codex, and other agents that can install a skill and run CLI commands.
How do I start? Install https://vectoree.ai/SKILL.md, run npx @vectoree/cli login –api-url https://vectoree.ai, pick a model (start with vectoree/auto), then call the gateway or create tables and upload files.
Can I keep existing code? Point the OpenAI SDK baseURL at https://vectoree.ai/api/v1 and switch the API key to your Vectoree project key.
Company: VECTOREE INC. (VECTOREE AI), Singapore.
Key Features
2. Auth: email and Google sign-in for your app users, set up in the dashboard.
3. Postgres: tables, schema and SQL from the dashboard or CLI, no separate server to run.
4. Storage: buckets and uploads for avatars, assets and user content, public or private.
5. Agent workflow: Vectoree skill plus CLI and an OpenAI-compatible gateway for Cursor, Claude Code and Codex.
Visual Walkthrough
Best For
• Indie hackers and startups shipping AI apps who don't want a separate account for each provider
• Teams that already use the OpenAI SDK and want to switch providers by changing the base URL and key
• Builders who want one pay-as-you-go wallet across models, instead of several subscriptions
• Startups with several projects who want shared billing, members and settings under one organisation
• Non-technical founders who want to start from a template and let an AI agent build the app
• Developers who want MCP tools for SEO and web research (Semrush, Ahrefs, Similarweb) available to their agent
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