--- title: "SumizAI vs LlamaGPT" url: "https://sumizai.com/alternative-to/sumizai-alternative-to-llamagpt.html" date: "2026-08-14T00:00:00+02:00" modified: "2026-08-14T00:00:00+02:00" description: "Looking for a LlamaGPT alternative? SumizAI and LlamaGPT side by side: price, licence, platforms and what each one actually does." tags: ["ai notes", "sumizai", "llamagpt", "alternative to LlamaGPT"] --- # SumizAI vs LlamaGPT Looking for a LlamaGPT alternative? SumizAI and LlamaGPT side by side: price, licence, platforms and what each one actually does. ## What LlamaGPT is LlamaGPT is a self-hosted, fully offline chatbot built by the getumbrel team around models from the Llama 2 family. The entire conversation runs locally — no data ever leaves the user's device, unlike cloud chatbots that send every query to a vendor's servers. The project ships as a Docker image, so getting it running is a matter of one command on any x86 or arm64 system. Key features: LlamaGPT offers several model sizes depending on available RAM — from 7B (Nous Hermes Llama 2, roughly 8GB RAM), through 13B (16GB RAM), up to the full 70B Meta Llama 2 Chat requiring 48GB RAM. The smallest variant can run with as little as around 5GB of available memory, making it a realistic option on modest home hardware. Code Llama support adds a specialized mode for programming tasks, and Nvidia GPU integration speeds up inference wherever a GPU is available. Who it's for: The app appeals primarily to owners of Umbrel home servers, where installation is a single click in the app store, but it works equally well for anyone with their own server or Docker-capable machine who wants a chatbot running without an internet connection. People handling sensitive data — lawyers, doctors, researchers — get the assurance that conversation content never leaves their own infrastructure. Use cases: In practice, LlamaGPT works well as a private assistant for everyday questions on a home server, a tool for experimenting with open-source models without API costs, and a base for coding tasks thanks to Code Llama support. Someone building their own self-hosted stack alongside Nextcloud or other services on Umbrel adds LlamaGPT as another building block of full cloud independence. Pricing and business model: The project is free and open source under the MIT license — no fees, accounts, or subscriptions. The only cost is the hardware the model runs on, plus whatever electricity a server running 24/7 consumes. Limitations and what to watch for: Llama 2's answer quality lags behind today's newest commercial models, and the 70B variant needs hardware few home users actually own. The lack of any built-in mechanism for archiving conversations into a lasting, searchable store means anything worth keeping has to be copied out manually. AI notes from local conversations: Because LlamaGPT offers no notes system of its own, any answer a user wants to keep as a ai notes entry has to be copied by hand into a separate app. For someone running multiple sessions a day on a home server, building an archive of ai notes this way quickly becomes tedious, especially since the chat interface offers no way to organize entries by topic. Hardware as the main tradeoff for uncompromising privacy: LlamaGPT's full privacy comes with a hardware cost — the bigger and better the model, the more RAM and GPU power it takes to get answers back in a reasonable time. That's the fundamental tradeoff against cloud services, where the provider supplies the compute and the user pays for access rather than infrastructure. What's worth checking before choosing: Before installing, check the exact memory requirements of your chosen model size against your own hardware, and whether the project's GitHub documentation is still actively maintained given how fast newer language models keep shipping. Bottom line: LlamaGPT is a solid choice for anyone who wants a chatbot running entirely offline on their own hardware, at the cost of model freshness and conversation organization. Anyone who wants worthwhile ai notes from such sessions to land automatically in a searchable archive instead of staying stuck in a chat window should consider a tool built around that workflow. Comparison with SumizAI: LlamaGPT and SumizAI take fundamentally different approaches to privacy and architecture. LlamaGPT runs the entire model locally on your own server — zero connectivity to external APIs, at the cost of local compute power. SumizAI instead lets you plug in your own API key to one of seven providers (Anthropic, OpenAI, Gemini, Groq, OpenRouter, a local Ollama, or your own server) — including that same local Ollama option, giving a similar level of privacy without giving up an organized archive. Answers worth keeping land automatically as Markdown files in a vault on the user's own disk, with a title, a place in the table of contents, and a duplicate check — none of which LlamaGPT offers at all. Anyone who wants chat with zero cloud footprint will find it in LlamaGPT; anyone who wants ai notes from such conversations to build a lasting archive will find SumizAI the better-fitting tool. **Key facts** - Price: Free - License: Proprietary - Origin: International - Category: AI Chatbot, Large Language Model (LLM) ## What SumizAI is A note-taking application built around a conversation with an AI model. You ask a question, the answer streams back, and the answers worth keeping become Markdown notes — filed into a vault that is a folder on your own disk. A vault is a directory holding `base.md`, a generated table of contents up to six levels deep, and a `notes/` folder with one `.md` file per note. Before a note is written it is checked against the ones already there, so the fourth note about the same idea gets merged instead of added. Links between notes are ordinary Markdown links to files that exist. The model is never ours: you bring your own API key to one of seven providers — Anthropic, OpenAI, Gemini, Groq, OpenRouter, a local Ollama or your own server — and pay that provider directly. A question sends the table of contents plus at most five relevant notes within a 24,000-character budget, and the app shows you which five it used. ## Where they differ - LlamaGPT is a place to have the conversation. SumizAI is not a chatbot — the conversation is the input, not the product. What comes out of it is a `.md` file with a title, a place in `base.md` and a duplicate check against the notes already in the vault. If you only want to talk to a model, you do not need SumizAI. - LlamaGPT is free and SumizAI costs a dollar a month after a seven-day trial that takes no card. A dollar is what it costs to run accounts and licences without reselling the model; if free is the requirement, LlamaGPT wins that row outright. - AlternativeTo's description of LlamaGPT does not mention Markdown, so check what format your notes end up in before you fill it up. SumizAI writes standard `.md` files to a folder you picked, and an unpaid account can still export all of them. - LlamaGPT runs in the browser. SumizAI is a desktop and mobile application, and on the desktop the vault is a folder on your own disk rather than a document in someone's cloud. Full side-by-side comparison table and pricing: [https://sumizai.com/alternative-to/sumizai-alternative-to-llamagpt.html](https://sumizai.com/alternative-to/sumizai-alternative-to-llamagpt.html)