Lovable
Also known as: GPT Engineer
Natural-language full-stack app builder with MCP integrations, no-training data posture, regional hosting, and a collaboration-friendly surface for product builders and startups.
Lovable is an AI app builder, one of the most prominent tools in the wave of so-called vibe coding, that turns a plain-language description into a working, deployed full-stack web application. You describe what you want in a chat, or drop in a screenshot, and Lovable generates the frontend interface, a backend with a database and authentication, API integrations, and the hosting to run it, then lets you refine the result by continuing the conversation. It was built for the large majority of people who have product ideas but cannot write code, while still being useful to developers who want to skip boilerplate.
Under the hood, Lovable produces real TypeScript and React code, runs its backend on Supabase for database, auth, and storage, and connects natively to Stripe so that describing a pricing model yields working checkout flows and the tables behind them. Crucially, the entire codebase syncs two-way with GitHub, so a developer can take over at any point and there is no lock-in. For finishing touches, Visual Edits let you click directly on an element to change it, a Themes panel centralizes colors and typography, and image generation is built into the builder.
The platform runs in an autonomous Agent Mode by default. Rather than just writing code from a single prompt, the agent explores the existing codebase, searches the web for solutions, debugs errors on its own, and validates its changes before showing them, so a request for a complex feature gets broken into pieces, built, tested, and fixed without constant back-and-forth. A separate planning mode handles multi-step reasoning before building.
Lovable connects to common services like Stripe, Notion, Shopify, and Slack, supports custom APIs and MCP servers, and offers a mobile app for building from a phone by voice or text while the agent runs in the background. In 2026 it expanded beyond app building toward general work like analysis and presentations. It is SOC 2 and ISO 27001 certified and is best suited to going from idea to a working prototype or MVP quickly, with larger production systems benefiting from engineering review.
Vendor details
Canonical URL
https://lovable.dev
Category
Agent builder
Subcategory
Natural-language app builder producing React and TypeScript applications the customer owns
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
Roughly ninety individually documented integrations in a single connector catalog, spanning CRM (Salesforce, HubSpot, Pipedrive, Zoho), data warehouses (Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Microsoft Fabric, dbt semantic layer), ecommerce (Shopify, WooCommerce, PrestaShop, Lightspeed, Wix), payments and accounting (Stripe, Chargebee, QuickBooks, Xero, sevDesk, Lexware), communications (Slack, Twilio, Telegram, Resend, Mailgun, Brevo), HR (Workday, Ashby), security scanning (Aikido, Wiz), analytics (PostHog, Google Analytics), storage (AWS S3) and CMS (Notion, Contentful, Storyblok, WordPress). Connectors attach in three modes: app connectors, chat connectors, and app user connectors where each end user of the published app connects their own account. An any-API route, a create-connector path, custom MCP servers and MCP registries cover anything unlisted. Outbound surfaces are a documented Lovable API and a Lovable MCP server, plus agent integrations that turn a published app into an MCP server for ChatGPT and Claude. Two-way Git sync covers GitHub and GitLab including self-managed and dedicated.
In practice
You have a SaaS idea and no technical co-founder. You describe it to Lovable in plain language and get a deployed full-stack app, with a frontend, a Supabase database, authentication, and Stripe checkout wired up.
You've proven the concept and want a developer to take it further. Lovable syncs the entire TypeScript and React codebase two-way with GitHub, so your engineer can pick it up with no lock-in.
You want to add a dashboard, a settings page, and email notifications in one go. Lovable's Agent Mode breaks the request into pieces, builds each, debugs on its own, and validates the changes before showing you.
Sources & related URLs
Related / legacy domains
Research sources
Agentic Index coverage score
10.0 / 14 capabilities · 71%
| Integrations & Tool Calling | Full |
|---|---|
|
Connectors are documented in a single catalog with Lovable handling authentication, credentials and requests, offering three connection types: app connectors, chat connectors and app user connectors where each person using the published app connects their own account, with each connector's page stating which types it supports. Roughly ninety integrations are individually documented, spanning Salesforce, HubSpot, Pipedrive and Zoho CRM, Snowflake, BigQuery, Databricks, Redshift, ClickHouse and Microsoft Fabric, Shopify, WooCommerce, PrestaShop and Lightspeed, Stripe, Chargebee, QuickBooks and Xero, Slack, Twilio, Telegram and Resend, Workday and Ashby, Aikido and Wiz, Notion, Airtable and Contentful, and AWS S3. An any-API route, a create-connector path, custom MCP servers and MCP registries cover anything unlisted. Sourcedocs.lovable.dev integrations introduction, app-connectors, chat-connectors, app-user-connectors, any-api, create-connector and integration catalogread 2026-08-31 |
|
| Workflow Orchestration | Full |
|
Build mode, previously Agent mode, is documented as the autonomous execution mode that takes ownership of a task end to end, understanding intent, exploring the codebase for context, applying changes across files and resolving issues during development, with visible tasks showing progress and results reviewed before moving on. Plan mode handles decision-making and the two are switchable at any time. Subagents are documented as a distinct feature, and cross-project referencing allows one project to draw on another. Skills apply reusable instructions, code mode and the project editor expose generated files for direct editing, and drafts and project history support iteration. Sourcedocs.lovable.dev agent-mode, plan-mode, subagents, cross-project-referencing, skills, code-mode, projects/editor, drafts and projects/history pagesread 2026-08-31 |
|
| Knowledge Grounding & RAG | Partial |
|
Knowledge is documented as persistent instructions and context for the agent, defined once and always included in context, at two levels: workspace knowledge holding shared rules across all projects such as coding standards, preferred libraries and naming conventions, and project knowledge holding application purpose, database schema, architecture decisions and domain terminology. Workspace knowledge is described as a text field, and the vendor contrasts it with Skills, which load on demand. The vendor's FAQ states that project and workspace knowledge plus the customer's code and components are the primary context sources and does not describe reading instruction files from the repository or external sources. Design systems are Lovable projects that export reusable components, colors, fonts and styling rules, which other projects connect to and inherit, with immediate propagation, precedence ordering across multiple connected systems, and no versioning. Cross-project referencing and roughly ninety integrations supply further per-request material. Sourcedocs.lovable.dev features/knowledge, design systems FAQ and knowledge context-sources FAQread 2026-08-31 |
|
| Human Oversight & Guardrails | Partial |
|
Plan mode investigates the project and writes a plan the user reviews, edits and approves before any code is written, and Lovable states Plan mode never modifies code. It is one of three modes the user picks, and Build mode implements changes directly, so the approval sits in an optional mode rather than in the build path; project monitoring findings are fixed only when the user asks. Workspace admin controls, integration admin controls, groups and project visibility settings constrain who can do what. Sourcedocs.lovable.dev plan-mode and project-monitoring pagesread 2026-09-29 |
|
| Security, Identity & Governance | Full |
|
Documented platform controls include a trust center, SAML single sign-on, SCIM provisioning, two-factor authentication, workspace identity and identity reuse, groups and people access controls, integration admin controls, project visibility settings, and Enterprise audit logs. Enterprise materials describe centralized identity, granular access controls and workspace-wide security oversight. A data opt-out setting is documented at Business tier, and secrets and build secrets are managed separately from generated code. Security scanning of the generated application is documented separately through a security center, security insights, sensitive-data scanning and Aikido and Wiz integrations. Sourcedocs.lovable.dev trust-center, saml-sso, business/sso, business/scim, two-factor-authentication, workspace-identity, groups, people, admin-controls, business/data-opt-out and secrets pagesread 2026-08-31 |
|
| Observability & Auditability | Full |
|
Enterprise audit logs record actions taken by workspace members and, since 24 August 2026, which client each action came from across Web, Desktop, iOS and Android, filterable by client or by individual member, with earlier entries marked Unknown. Dedicated pages cover project monitoring, logs, project usage, analytics and security insights. Build mode surfaces visible tasks as work proceeds, and project history records changes to a project. Audit logs are documented among Enterprise workspace capabilities alongside workspace-wide security oversight. Sourcedocs.lovable.dev audit-logs, project-monitoring, logs, project-usage, analytics and security-insights pages, changelog and lovable-for-enterpriseread 2026-08-31 |
|
| Memory & State Persistence | Partial |
|
Projects are durable objects with a documented history page recording changes, drafts persist unfinished work, and project chat is a documented persistent surface. A Knowledge feature holds project configuration, and cross-project referencing allows one project to draw on another. Build mode is documented as exploring the codebase for context when given a task rather than carrying forward learning between tasks, and skills apply reusable instructions authored by the customer with no documented agent-side updating. Sourcedocs.lovable.dev projects/history, drafts, projects/chat, knowledge, cross-project-referencing, agent-mode and skills pagesread 2026-08-31 |
|
| Deployment & Data Residency | Full |
|
A default hosting region is set from Settings, Security and compliance, Privacy and security, choosing Americas, Europe or Asia Pacific. On Business and Enterprise workspaces admins can set a required default region for every new project, after which members cannot choose a different region; the setting applies only to new projects and existing projects keep their original region. Country-specific regions including Germany, Japan and United States East are available on Enterprise by request. Enterprise materials list regional code hosting. Lovable Cloud provides hosting with custom, verified and transferable domains, and two-way GitHub sync plus external deployment guidance allow hosting the application elsewhere. Sourcedocs.lovable.dev privacy-and-security-settings, cloud, hosting, custom-domain, github and external-deployment-hosting pages, lovable-for-enterpriseread 2026-08-31 |
|
| Prebuilt Agents, Templates & Packs | Partial |
|
Design templates are documented as a Business-tier capability, alongside a managed registry, a remix path for starting from an existing project, a prompting library, skills carrying reusable instructions, and design systems supplying customer components. Video tutorials and an idea-to-app guide cover getting started. No catalog of ready-made finished applications published by the vendor appears in the complete documentation inventory. Sourcedocs.lovable.dev business/design-templates, managed-registry, projects/remix, prompting-library, skills and design-systems pagesread 2026-08-31 |
|
| Triggers & Channel Coverage | Full |
|
Lovable documents project monitoring in which it checks a project on a schedule, daily or weekly at a chosen time and optionally only after a minimum number of edits, reviewing the app code for broken functionality and recent visitor errors, then alerting by email and surfacing findings to fix in the project chat. That is an autonomous scheduled wake of the builder agent. Other routes are the web chat, a Slack app, mobile and desktop apps, a Telegram route, the Lovable API and the Lovable MCP server. Monitoring is in beta, on Pro, Business and Enterprise. Sourcedocs.lovable.dev project-monitoring page and llms.txt indexread 2026-09-29 |
|
| Model Flexibility & Routing | Not documented |
|
No model selection, model picker, bring-your-own-key or provider configuration for the builder appears anywhere in the complete documentation inventory covering roughly two hundred pages, including advanced settings, workspace admin settings and account settings. Model-related integrations that do appear, namely Fireworks, Replicate, Perplexity and Gemini Enterprise, together with an AI feature documented among the Cloud backend pages, provide model access to the application being built rather than choice over the model powering Lovable itself. Sourcedocs.lovable.dev sitemap inventory, advanced-settings, workspace-admin-settings, lovable-account-settings and features/ai pagesread 2026-08-31 |
|
| APIs, SDKs & MCP Extensibility | Full |
|
A Lovable API and a Lovable MCP server are documented as first-party integration surfaces. Agent integrations turn a published Lovable app into an MCP server consumable by ChatGPT, Claude and other assistants, with configurable tools, sign-in, permissions and access. Custom MCP servers and MCP registries are separately documented, alongside a create-connector path and an any-API route for arbitrary services. Two-way Git sync with GitHub and GitLab, including self-managed and dedicated GitLab, exports the full codebase, and desktop, mobile and Slack surfaces extend access to the platform. Sourcedocs.lovable.dev lovable-api, lovable-mcp-server, agent-integrations, custom-mcp, mcp-registries, create-connector, any-api and git-sync-overview pagesread 2026-08-31 |
|
| Testing, Debugging & Optimization | Full |
|
Browser testing is documented as the platform interacting with the customer's application in a real browser running in a virtual environment, clicking buttons, filling forms, navigating pages and verifying real user behavior with screenshots across different screen sizes. It returns a verdict rather than a trace: a Details view shows the steps taken and summarizes what worked and what did not, and the documented pattern is reproduce, fix, then verify. Where the test and live environments feature is enabled it runs against the project preview in the test environment, so the evaluation happens before the change reaches anyone. A criterion applied by Lovable's mechanism to the customer's artifact, ahead of release, is Full. Sourcedocs.lovable.dev browser-testing page and test-and-live-environments documentationread 2026-08-31 |
|
| Browser & Computer Use | Not documented |
|
Browser testing and the preview toolbar exercise and display the application the agent has generated, which is verification of the agent's own output rather than operation of third-party software. Firecrawl and Apify integrations retrieve web content over HTTP, which is scraping rather than computer use. All external action is documented as running through connectors, the any-API route, custom MCP servers or MCP registries, all of which are programmatic interfaces. No browser navigation, form filling, screen control or computer-use capability appears anywhere in the complete documentation inventory. Sourcedocs.lovable.dev browser-testing, preview-toolbar, projects/preview, firecrawl and apify pages plus sitemap inventoryread 2026-08-31 |
|
The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
Enterprise workspaces on Lovable can now switch on EU inference, which runs every AI model request on providers in the European Union, both while building and inside the published apps. Some models and features are not available in the EU, and the workspace uses more credits while it is on.
Bears on: Deployment / data residency
View sourceLovable closed a $400 million Series C funding round at a $13.3 billion valuation. Alongside the funding, the company introduced new platform capabilities including built-in payment functionality powered by Paddle and Stripe, and SEO and AI-search tools integrated with Semrush.
Bears on: Integrations
View sourceLovable has partnered with Cerebras Systems to integrate Cerebras's high-speed AI inference technology into its software creation platform. This collaboration is designed to enable faster and more interactive software development experiences for users building applications with Lovable's AI.
Bears on: Funding / partnership
View sourcePricing
Free (5 credits/day) · Pro $25/mo (100 credits)
usage
Included quota
All plans include unlimited workspace collaborators (no per seat pricing). Free: 5 daily build credits (max 30/month) plus 20 Cloud credits monthly. Pro: from 100 credits at $25 scaling linearly to 10,000 credits at $2,250, with plan credits expiring two months after issue and top ups (Stripe one time) valid 12 months. Business follows the same ladder at roughly double per credit.
What is public
Lovable publishes full pricing: a free plan with 5 daily build credits (30 a month cap) and 20 Cloud credits, Pro from $25 a month for 100 credits scaling to $2,250 for 10,000, Business from $50 with SSO and data training opt out at roughly double the per credit rate, and custom Enterprise. All plans allow unlimited collaborators. Credits cover building, hosting, and in app AI from one balance.
Billing mechanics
Credit based consumption across building, Cloud hosting, and in app AI from one balance. Messages cost variable credits by complexity since the July 2025 granular model; plan credits are granted monthly and expire after two months, daily bonus credits expire same day, top ups last 12 months, and auto top up with a monthly spend cap is available. Workspace based (unlimited collaborators), not per seat.
Cost watchouts
Credits burn by complexity (roughly half a credit for small tweaks to 3 for multi file generations), so heavy iteration or debugging loops can exhaust the 100 credit Pro allotment in days; a CRUD app with auth commonly consumes 30 to 60 credits on the first build. Runtime costs (Lovable Cloud hosting and in app AI features) draw from the same credit balance once traffic grows. Business plan credits cost roughly double Pro per credit, with the premium buying SSO, data training opt out, and per user limits.
Variable cost rationale
Variable per message credit costs, complexity driven burn, runtime Cloud and AI drawing on the same balance, and a steep credit ladder make monthly spend track activity closely; real world production costs commonly run multiples of the entry price.
Additional watchouts
The community pattern by 2026: Lovable covers the first 70 to 80 percent of a build cheaply, then iteration on the last stretch consumes credits fast; many teams export to GitHub and finish in a code editor. Budget 2 to 3x the sticker plan for a production app once top ups and runtime usage land.
Sales call required
No, self serve available
Free / trial
Free plan, no card (5 daily build credits up to 30 a month, 20 Cloud credits a month)
Lowest paid plan
Pro $25/mo for 100 credits (annual saves ~16%; students 50% off)
Commercial notes
Roughly 8M registered users and a $6.6 billion valuation by mid 2026, and named to TIME's most influential companies list. Generates React apps on a Supabase-backed Lovable Cloud (database, auth, storage); GitHub sync on all plans and code export keep lock-in lower than it appears.
Key ambiguities
Effective cost per app is unpredictable because per message credit costs vary with complexity; runtime Cloud and AI usage add a second consumption stream that only matters at meaningful traffic.
Missing data
Enterprise per credit pricing (reported ~$0.08 to $0.12 at volume) and minimums are unpublished.
Related vendors
- Lindy — AI teammate that lives in Slack, answers from your tools and…
- Activepieces — Open source, MIT licensed automation platform where every one of 700…
- AgentX — No code platform to build, evaluate, and deploy multi agent…
- AI Library — No-code platform for building and running AI agents, with a…
- Aigensei — Enterprise agentic workflow platform that runs business processes…
- Airia — Enterprise platform that unifies agent orchestration, security, and…
Alternatives to Lovable
The closest documented capability profiles to Lovable among agent builders tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Retool11.5 / 14Adds documented Model Flexibility & Routing
- Moveo.AI12.0 / 14Adds documented Model Flexibility & Routing
- SnapLogic12.0 / 14Adds documented Model Flexibility & Routing
- Vellum11.0 / 14Adds documented Model Flexibility & Routing
- Activepieces11.5 / 14Adds documented Model Flexibility & Routing
- OutSystems12.5 / 14Adds documented Model Flexibility & Routing
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded