LLMStack vs Private LLM
Side-by-side comparison · Updated September 2026
| Description | LLMStack is a source-available builder for AI agents, workflows and chatbots that combine model calls with your own data. Its visual builder can chain multiple models and connect data sources, making it more suitable for assembling an application or process than for simply opening a personal chat app. The project documents deployment on your own infrastructure and points to Promptly as its hosted offering. Supported data inputs include documents, websites and connected sources such as Google Drive and Notion. The builder provides preprocessing and vectorization for retrieval workflows. Apps can be shared publicly or with selected people, and viewer and collaborator permissions control access to shared work. The repository also documents HTTP API access and Slack or Discord triggers. Plan for infrastructure, model-provider usage, credentials and permissions as separate decisions. Installing a self-hosted builder does not make externally hosted models free or keep every data request local. Start with a limited workflow and representative documents, review the generated output, and confirm the permissions required by each connected source before expanding access. Compare AnythingLLM when a document-chat workspace is the main need; LLMStack is oriented toward composing the application and its workflow. | Private LLM runs text-based AI models locally on supported iPhones, iPads and Macs. It is a useful alternative for personal writing, summaries and questions when you want an on-device assistant instead of a hosted team workspace. Download a suitable model first; supported models and performance depend on your device and available memory. The US App Store lists a one-time price of $4.99. The developer describes access across supported Apple platforms with Family Sharing for up to six people and no subscription. Check your own store region for the current price and device requirements. Siri and Apple Shortcuts integration can connect the assistant to your existing workflows. The app privacy policy says conversations stay on-device and are not collected by the developer. This is distinct from the product website, which has analytics and a support form, and from the network requests needed to download models. Local processing is useful for controlling your chat data, but it does not establish that every model answer is correct or that every model will run well on every device. |
| Category | AI Assistant | AI Assistant |
| Rating | No reviews | No reviews |
| Pricing | Unknown | Paid |
| Starting Price | N/A | $4.99 in the US App Store |
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| Tags | Open sourceAI agentsWorkflowsApplicationsData | local AIoffline chatiPhoneiPadMac |
| Features | ||
| Visual AI workflow and model-chain builder | ||
| Data imports from documents, websites and connected services | ||
| Document preprocessing and vectorization | ||
| Viewer and collaborator permissions | ||
| Self-hosted deployment instructions | ||
| Hosted offering through Promptly | ||
| HTTP API access for apps and chatbots | ||
| Slack and Discord workflow triggers | ||
| On-device text-based language models | ||
| iPhone, iPad and Mac support | ||
| Offline chat after model download | ||
| Siri and Apple Shortcuts integration | ||
| Customizable system prompts | ||
| One-time purchase without a subscription | ||
| Family Sharing for up to six people | ||
| Conversation export as PDF or text | ||
| View LLMStack | View Private LLM | |
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