
AI-native backend that lets coding agents deploy apps from chat
By Tanmay Verma, Founder · Last verified 05 Jul 2026
In short
Nubase — AI-native backend that lets coding agents deploy apps from chat. Best for Developers using AI coding agents to build full-stack apps, Teams wanting a self-hosted, open-source backend with no vendor lock-in, Indie hackers and solo devs shipping prototypes to production quickly. Free to use.
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A thoughtfully engineered open-source backend for AI agent workflows. The MCP integration and unified memory layer make it uniquely suited for developers using coding agents to build and deploy apps from chat. Self-hosting is a prerequisite, but the single Docker image keeps setup reasonable. For non-technical users or those needing a managed service, consider alternatives like Supabase or Railway.
Skip Nubase if Skip Nubase if you need a managed, no-ops backend or lack the comfort to self-host a Docker stack.
Compare with: Nubase vs Atoms, Nubase vs Replit Agent, Nubase vs Bolt.new
Last verified: July 2026
Across the latest 2 updates: 2 feature updates.
Nubase argues prompt stuffing is not memory; describes durable, retrievable memory as a backend primitive.
MCP lets AI coding agents inspect schema, run SQL, manage auth, and write memory via Nubase.
How likely is Nubase to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Nubase is an open-source, self-hosted backend platform built for AI coding agents. It bundles eight modules—Database, Auth, Storage, Assets, Functions, AI Gateway, Memory, and cron—into a single Docker image. Each project gets an isolated PostgreSQL database with Row-Level Security, Supabase-compatible auth, S3-compatible storage, edge functions, and a durable memory layer combining vector and BM25 retrieval. Nubase integrates with coding agents like Claude Code and Codex via MCP, so you can generate and deploy a full-stack app directly from a chat prompt. It's designed for developers who want to ship fast without vendor lock-in, supporting standard protocols (OpenAI/Anthropic APIs, PostgREST, S3). All modules share one auth model, and the platform is Apache-2.0 licensed. Self-hosting is required; no managed cloud is available yet.
Nubase fills a specific niche: it's a backend built from the ground up for AI coding agents to drive directly. Where most backends require you to leave the chat to configure APIs or set up hosting, Nubase lets agents inspect schema, run SQL, manage auth, and write memory through MCP. This tight loop—prompt to production without context-switching—is its killer feature. The eight-module architecture (Database, Auth, Storage, Assets, Functions, AI Gateway, Memory, cron) covers the typical stack of a full-stack web app, and the memory layer is a first-class primitive, not an afterthought. However, Nubase is not a managed cloud service. You self-host it via a single Docker image. That means you own the ops overhead: provisioning a server, managing upgrades, and keeping the service available. If you're a solo developer or a small team comfortable with Docker and a cloud VM, Nubase can be extremely productive. But if you want a click-to-deploy UI or a free tier hosted for you, look at Supabase, which offers similar primitives as a managed service. Nubase also shines for prototyping and internal tools where speed matters and vendor lock-in is a concern. Its Apache-2.0 license means you can fork it and run it anywhere. In practice, the edge function runtime is limited to TypeScript, so if you need Python or Go backend logic, you're out of luck. Also, the assumption is that your coding agent is sufficiently capable with Nubase's API—if your agent struggles to generate correct PostgREST calls or RLS policies, the smooth experience degrades. We'd reach for Nubase when we're already living in a coding agent workflow (Claude Code, Codex, Cursor) and we want to go from idea to a live URL in minutes. It's less suited when you need broad third-party integrations, managed scaling, or a
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Concrete scenarios for the personas Nubase actually fits — and what changes day-one when you adopt it.
Connect Claude Code to Nubase via MCP, then prompt: 'Build a task manager with user auth, a PostgreSQL table for tasks, and deploy it.'
Outcome: Claude Code creates the database schema with RLS, sets up edge functions for CRUD, publishes a React frontend to the CDN, and you get a live URL in under 5 minutes.
Integrate Nubase Memory into your existing AI agent by calling its REST API to store and retrieve facts.
Outcome: Your chatbot recalls user preferences across sessions without custom vector database setup, using the fusion retrieval engine for relevant context.
as of 2026-07-01
as of 2026-07-01
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Nubase tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Self-Hosted (Community)
$0/mo
Ideal for
Solo developers and small teams comfortable with Docker who want full control and zero licensing cost.
What this tier adds
Free entry point: all 8 modules included, unlimited projects on your own infrastructure, community support via GitHub.
The company stage and team size where Nubase's pricing actually pencils out — and where peers do it cheaper.
Nubase is free and open-source (Apache-2.0), so there's zero licensing cost. However, you pay for your own infrastructure and AI model API usage. Competitors like Supabase start at $25/mo for a managed project, while Railway offers free tiers but caps resources. Nubase is best for developers who prefer self-hosting to avoid per-seat fees.
How long it actually takes to get something useful out of Nubase — broken out by persona, not the marketing-page minute.
For developers familiar with Docker: you can spin up Nubase locally and create your first project in about 10 minutes. Connecting your coding agent via MCP adds 2 minutes (one npx command). First deploy from chat happens almost immediately after agent configuration.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Common stack mates teams adopt alongside Nubase, with the specific reason each pairing earns its keep.
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