Nubase
Open-source, self-hosted backend for AI coding agents to ship full-stack apps from chat
Nubase is a forward-thinking, modular backend that nails the 'ship from chat' vision. The MCP integration and durable memory layer are genuinely useful for AI agents. Self-hosting is a prerequisite — if you're not ready to run Docker, stick with Supabase or Railway.
Verified 8d ago · liveness 66/100 · cite: rightaichoice.com/tools/nubase
- Developers using AI coding agents (Claude Code, Codex) to build full-stack apps from chat prompts
- Teams wanting a self-hosted, open-source backend with no vendor lock-in
- Indie hackers and solo devs shipping prototypes to production quickly
- AI-native product teams needing integrated memory and agent playgrounds
- Teams that require a fully managed cloud service without self-hosting
- Non-technical users who cannot configure a Docker or cloud deployment
- Projects needing extensive third-party integrations beyond standard protocols
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Skip Nubase if you don't want to self-host a Docker-based backend or if you prefer a fully managed cloud service with a GUI admin panel.
Self-hosting requires you to provision and maintain your own server and infrastructure, which may incur cloud hosting costs.
Nubase is free and open-source, so the only cost is your own infrastructure. For teams that want a managed backend, Supabase or Railway offer paid tiers with less ops burden, but you lose the zero-lock-in advantage.
In short
Nubase — Open-source, self-hosted backend for AI coding agents to ship full-stack apps from chat. Best for Developers using AI coding agents (Claude Code, Codex) to build full-stack apps from chat prompts, 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.
What's new in Nubase
Checked 8 days agoAcross the latest 2 updates: 1 feature update and 1 launch.
Why AI apps need a real memory layer
Nubase argues prompt stuffing is not memory; describes durable, retrievable memory as a backend primitive.
Connect Claude Code and Codex to your backend in one command
MCP lets AI coding agents inspect schema, run SQL, manage auth, and write memory via Nubase.
What people actually say about Nubase — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
15 mentions across 2 sources (Hacker News, YouTube) · researched Aug 15, 2026.
- +All-in-one Docker image bundles Postgres, Redis, API, and Studio
- +Self-hosted, Apache-2.0, free forever with no vendor lock-in
- +Supabase-compatible auth: email, OAuth, MFA, OTP, anonymous
- +Per-project isolated PostgreSQL with Row-Level Security
- +AI Gateway routes models with per-project keys and usage tracking
- −No real community feedback or testimonials yet
- −Self-hosted infra management is a heavy lift for beginners
- −YouTube search noise from unrelated products harms discoverability
- −No official support channel or SLA — only community relied upon
- −Limited documentation and example projects beyond the README
- • Your own server/cloud costs for Docker hosting
- • Time spent maintaining the stack (backups, upgrades, monitoring)
Viability Score
How well maintained and how widely used is Nubase? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Isolated PostgreSQL per project with Row-Level Security
- Supabase-style auth: email, OAuth, magic links, MFA/TOTP, OTP, anonymous
- S3/R2-compatible object storage with signed URLs
- Publish frontend to public CDN at /assets/v1
- Edge function runtime at /functions/v1 (local or Cloudflare)
- AI Gateway with OpenAI- and Anthropic-compatible endpoints
- Durable memory layer with vector + BM25 hybrid retrieval
- Scheduled cron jobs invoking edge functions
- MCP integration for coding agents (Claude Code, Codex, etc.)
- Single Docker image bundles Postgres, Redis, API, Studio
- Multi-project control plane with isolation by default
- Per-project AI Gateway keys and usage tracking
- Memory mem0-compatible REST API
- Pluggable memory providers (OpenAI / Anthropic / OpenAI-compatible)
- Apache-2.0 open-source license
About Nubase
Nubase is an open-source, self-hosted backend platform designed for AI coding agents. It bundles eight essential modules—Database, Auth, Storage, Assets, Functions, AI Gateway, Memory, and cron—into a single Docker image, allowing developers to generate and deploy a complete full-stack application directly from a chat prompt. With support for agents like Claude Code, Codex, Cursor, and others via MCP, you can connect once and then instruct your agent to build a notes app, publish the frontend, set up backend functions, and schedule cron jobs—all through natural language. The platform emphasizes protocol compatibility, speaking OpenAI and Anthropic APIs, PostgREST-style REST, S3 storage, and a Workers runtime, making it easy to integrate with your existing stack. Each project in Nubase gets its own isolated PostgreSQL database with Row-Level Security, Supabase-compatible auth (email, OAuth, magic links, MFA/TOTP, OTP, anonymous), S3-compatible object storage with signed URLs, and edge functions that run on local or Cloudflare runtimes. The AI Gateway provides a single endpoint for model routing, per-project keys, and usage tracking, while the durable memory layer goes beyond simple vector storage—it extracts facts, embeds them, and recalls them with a hybrid retrieval engine that combines vector and BM25 retrieval, making it a true backend primitive rather than a bolted-on script. Self-hosting is the core model: a single Docker image bundles Postgres, Redis, the API, and Studio, allowing you to run unlimited projects on your own hardware. The platform is Apache-2.0 licensed, free forever, and designed to eliminate vendor lock-in. The control plane supports multi-project isolation by default, and the MCP integration lets coding agents inspect schema, run SQL, manage auth, and write memory programmatically.
Behind the Verdict
Nubase is built for developers who live in AI coding agents and want a backend that keeps up. The eight-module architecture is thoughtfully integrated—each project gets its own Postgres database, auth, storage, and edge functions, all managed through a single Docker image. The AI Gateway and durable memory layer are standout features: instead of bolting on a vector store, Nubase provides a real memory primitive that extracts, embeds, and recalls facts with hybrid retrieval, which is exactly what AI apps need for context. Where Nubase shines is the developer experience. You connect your agent once via MCP, then simply ask it to build—your agent models the data, deploys functions, publishes the frontend to a CDN, and schedules cron jobs, all through natural language. This is a huge time-saver for prototyping and shipping small to medium apps. But there are trade-offs. Self-hosting is mandatory; there's no managed cloud option, so you need to handle Docker and infrastructure yourself. Non-technical users will struggle, and teams needing enterprise features like SSO or audit logs beyond the core modules may find gaps. The documentation is helpful but assumes comfort with CLI and API-driven workflows. Compared to Supabase or Railway, Nubase gives you full control and zero vendor lock-in, but you own the ops burden. If you're an indie hacker or a small team comfortable with Docker, Nubase is a compelling choice. If you prefer a managed service, stick with the hosts.
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Real-world workflow fit
Concrete scenarios for the personas Nubase actually fits — and what changes day-one when you adopt it.
You clone Nubase, run the Docker image, and connect Claude Code via MCP. You ask it to build a notes app with auth, a database, and a hosted frontend.
Outcome: In minutes, you have a live app with a public URL, a Postgres database, and user authentication—no manual backend setup.
You integrate Nubase's memory layer into your AI assistant to recall user preferences across sessions.
Outcome: Your assistant remembers user facts and uses them in conversations, improving user experience without complex vector infrastructure.
You use Cursor connected to Nubase via MCP to update the schema and deploy edge functions as you iterate.
Outcome: You can change the database schema and redeploy functions from your editor, shipping updates rapidly.
Use Cases
- Deploy a full-stack notes app from a single chat command using Claude Code
- Add persistent memory to an AI agent so it recalls user facts across sessions
- Self-host a backend with auth, storage, and edge functions for a prototype
- Set up scheduled data sync jobs that invoke edge functions on a crontab
- Connect Cursor to Nubase via MCP and iterate on live databases
Models Under the Hood
as of 2026-08-17
Limitations
- Nubase is open-source (Apache-2.0) and self-hosted, deploying the whole stack in one Docker image; there is no managed cloud offering described.
- The documentation and blog emphasize connecting AI coding agents such as Claude Code and Codex, with a per-project token model.
- No enterprise features like SSO or audit logs are detailed, and pricing is not described on the pages captured.
as of 2026-08-15
Verification history
We have re-verified Nubase 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
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.
Plans compared
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
Developers and small teams who are comfortable with Docker and want a free, self-hosted backend with no vendor lock-in.
What this tier adds
This is the only tier—free forever, Apache-2.0, includes all eight modules and unlimited projects on your own hardware.
Where the pricing makes sense
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, so the only cost is your own infrastructure. For teams that want a managed backend, Supabase or Railway offer paid tiers with less ops burden, but you lose the zero-lock-in advantage.
Setup time & first value
How long it actually takes to get something useful out of Nubase — broken out by persona, not the marketing-page minute.
Indie hackers and developers can get started in about 3 minutes: run the Docker image, create a project, and deploy a sample app. Teams with existing Docker infrastructure may take 15-30 minutes to integrate, including setting up memory and cron jobs.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Nubase
Common stack mates teams adopt alongside Nubase, with the specific reason each pairing earns its keep.
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Featured Head-to-Head Comparisons
Nubase vs Voyage Ai
Choose Voyage AI if you need domain-specific, high-accuracy embeddings and rerankers for enterprise RAG (finance, legal, code) with SOC 2/HIPAA compliance — expect sales-led pricing and modular integration. Choose Nubase if you're a developer using AI coding agents like Claude Code or Codex to build full-stack apps: it's free, open-source, self-hosted, and bundles database, auth, storage, memory, and an AI Gateway into one Docker image.
Nubase vs Spider Cloud
Choose Spider Cloud if your primary need is feeding AI agents with fresh, structured web data at scale—its Rust engine, AI extraction, and 1,000+ scrapers deliver fast, low-cost harvesting. Choose Nubase if you're an AI coding agent user building full-stack apps from chat; its self-hosted bundle of database, auth, storage, and memory with MCP integration lets you deploy instantly. They solve different problems—data ingestion vs. app backend—so pick based on whether you need to pull from the web or build entire apps.
Nubase vs Temporal Ai
Choose Temporal AI if you need bulletproof durability for complex, long-running workflows with automatic retries and human-in-the-loop—its new usage-based billing makes cost transparent. Choose Nubase if you're an AI developer shipping apps from chat and want a self-hosted, all-in-one backend with built-in memory layer and auth. They solve very different problems: Temporal is about reliable orchestration; Nubase is about rapid deployment from AI prompts.
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