Choose AppJuice for private local apps.
Best when the result should be a tool you keep, run on your computer, tweak later, and connect to approved local files or AI providers.
Apps run locally in AppJuice's managed runtime, with their own UI and local data. Build, use, and tweak without a cloud deploy step.
Add direct AI actions or app-specific agents for chat, skills, tool calling, multi-step work, and generated files, powered by your configured providers and models.
Your app files and app data stay on your machine by default. Use local models or your own cloud AI keys only when you choose them.
Describe the app.
AppJuice turns it into an app while keeping code out of the normal path.
One place for the whole loop.
Create the app, use it, then summon the builder again when you want a change.
Built for your personal computer.
Apps run locally with approved files, scoped actions, sandboxed build/run paths, and review gates before Juicery sharing.
Configure providers once.
Built apps and the builder can use the same BYOK or local-model setup.
Focus on the feature.
Platform tools and app scaffolding make AI features easier to add without hand-wiring provider glue.
Use agents when the app needs them.
Add app-owned agents for chat, skills, tool-calling workflows, approvals, persistent sessions, and generated files — all inside your local app.
Say what the app should do.
Get the app structure and AI wiring.
Your app opens with its own UI, local data, and AI/Agent capabilities when needed. No cloud deploy. No server setup.
Change it, share it, or start from someone else's.
Local memory, private files, and agent follow-up for messy paperwork.
An in-app agent works from approved paths and leaves an audit trail.
Direct AI drafting with local folders and optional local models.
A fixed AI action belongs in a local app, not a repeated prompt.
Agent sessions, citations, and source files stay together locally.
Direct speech-to-text plus a private app memory for follow-up.
Repeated private work should not live in copy-pasted prompts.
Open the app, work with its UI, approve the local context it needs, and keep the result as a normal tool on your machine.
Ask for changes, tweak behavior, and keep improving the same app instead of starting over in a new chat or separate project.
Kid, school, medical, and travel records need private memory.
Turn approved folders into one local app.
Student work needs feedback without casual cloud upload.
Use rubrics, class folders, and local models.
Client context is scattered and confidential.
Build a briefing app around your process.
Drafts, interviews, and notes should stay close.
Ask across a local archive with citations nearby.
Receipts and exports are private and client-specific.
Classify locally and export review sheets.
Messy internal files need custom rules.
Give the task its own local tool.
Use AppJuice when the thing you want to keep is the app itself.
| Need | ChatGPT / Claude | Codex / Claude Code | Replit / Bolt.new / Lovable | OpenClaw / Hermes-style agents | AppJuice |
|---|---|---|---|---|---|
| Best output | Answer or conversation | Codebase-centered agent work | Hosted or deployable app/project | Autonomous agent, gateway, memory, and skills | Runnable local app + AppJuice Runtime |
| Non-technical app creation | Great for asking; not app output | Powerful, developer-facing | Friendly app/site builders, usually project/deploy oriented | Best for users comfortable configuring an agent stack | No-code friendly by default |
| App shell, UI, and data | Chat or canvas | Codebase-centered; you review and ship changes | Generated app/project, often hosted or deployable | Chat/channel/dashboard surfaces, tools, skills, and config | App shell, UI, local data, and runtime |
| Build, run, tweak loop | Conversation loop | Repo and terminal loop | Builder plus hosted/deployed project | Agent sessions, skills, gateway, and config | Build, run, and tweak in one place |
| Private local data | Attach or connect files | Local access with developer controls | Depends on project storage and integrations | Self-hosted/local paths possible; memory and tools configurable | App-local data, sessions, and artifacts |
| Personal-computer safety | Low risk for chat-only work | Developer reviews commands and code | Usually runs in a hosted project | Powerful, with more setup and operator responsibility | Sandboxed build/run, approved access, and Juicery review gates |
| Provider or local model choice | Mostly one product account | Depends on the coding tool | Often platform-managed | Own-key and multi-provider paths, depending on setup | BYOK once, shared by builder and apps |
| Direct AI actions inside the result | Chat is the action surface | Manual implementation | Possible if the app includes it | Agent tools and channel actions, not app-native actions | Direct AI actions inside the app |
| Agent inside the result | The chat is the product | Possible, manual | Possible, app-owned | Agent is the main product surface | Runtime Agent inside the app |
| Start fresh, remix, share | Prompt or shared chat | Repo or patch | Project or hosted link | Open-source agent stack, skills, and config | Source plus recipe, Juicery-ready |
| Quick one-off private task | Good for public or low-risk questions | Usually too much setup | Usually too much setup | Good if your agent is already running | One-shot app from Juicery when privacy, personalization, or provider choice matters |
Best when the result should be a tool you keep, run on your computer, tweak later, and connect to approved local files or AI providers.
ChatGPT and Claude are better when you need a conversation, a draft, or a quick public/low-risk answer instead of a reusable app.
Codex and Claude Code are powerful when the thing you want to keep is code in a repository and you are comfortable reviewing that work.
Replit, Bolt.new, and Lovable are stronger when the destination is a hosted or deployable app/project rather than a local-first personal app.
OpenClaw, Hermes, and similar agent stacks fit users who want an autonomous assistant, gateway, memory, skills, and more setup control.
OpenClaw, Hermes, and similar personal agent stacks are strong choices when the thing you want to keep is an autonomous agent. AppJuice is different when the thing you want to keep is the app itself.
Store API keys, tokens, and service secrets in AppJuice's encrypted Platform Vault. Apps request approved credentials through runtime paths instead of hard-coding them.
Builds, runs, file access, and local actions go through AppJuice-controlled paths instead of open-ended machine access.
Local data stays in AppJuice storage by default. Cloud AI receives only the request context you send.
Shared apps exclude your private data and go through Juicery validation, rule scanning, and AI review.
AppJuice is not just an AI builder. It's a local AI app platform for private apps you can keep, run, and improve over time.
A local AI app platform for creating and running private apps on your computer, with a built-in local runtime.
No. Describe what you want; AppJuice keeps code out of sight and handles the app structure, runtime, and AI wiring. Builder messages and progress are written in plain language, not raw agent logs.
No. AppJuice builds and runs apps locally; no cloud deployment step is required.
Yes. Apps can include direct AI actions or app-specific agents for chat, skills, tool calling, and multi-step work.
Only the files, folders, tools, and actions you approve through AppJuice-controlled runtime paths.
Your app files and local data stay on your machine by default. Cloud AI providers receive request context only when you choose a cloud model for that action.
No. Shared apps are app packages/templates, not your runtime data, files, sessions, or provider keys.
Yes. Configure your own cloud providers, models, or local models once, then use them across the builder and apps.
macOS is available now. Windows and Linux are coming later.
The main AppJuice experience for Mac. Download the native desktop app bundle, open the DMG, and drag AppJuice into Applications.
A native Linux desktop experience is on the roadmap. The public download will arrive once packaging and updates feel solid for normal users.
A later release will let you install AppJuice on a home server, NAS, or always-on mini-PC, then connect to it from other computers through a browser or from the local host app by entering that server address.
Windows desktop packaging is in progress. We won't put up a public download until the installer and update path feel solid for normal users.
The macOS build is a public preview. Download it from this page, open the DMG, and move AppJuice into Applications. Because these preview DMGs are not notarized yet, macOS may show an unidentified-developer confirmation the first time you open the app.
The old path — idea, learn to code, write code, compile, host, share — locks out 99% of people from building the tools that would actually help them.
AppJuice rewrites it.
Have an idea → say it → use it → share it.
Private, local, yours.