Meta's Llama is one of the most capable open-source AI model families available. Running it only through the terminal limits what you can actually do with it.
Askimo App gives Llama a full desktop workspace: chat history, local file search (RAG), multi-step AI workflows, MCP tool integrations, and the ability to switch between Llama and cloud providers, all without leaving the app.
Llama is Meta's family of open-weight large language models, released for research and commercial use. Known for strong general reasoning, instruction following, and code generation, Llama models run efficiently on consumer hardware via Ollama and are continuously updated with new capabilities.
Developer
Meta
License
Llama Community License
Best For
General AI tasks
Askimo isn't a thin wrapper. It's a local AI workspace built around Ollama, with Llama as a first-class citizen.
Built as a true desktop app for macOS, Windows, and Linux. Fast, responsive, and works fully offline with no browser or server required.
Seamless model selection, endpoint configuration, and switching. See the Ollama provider setup guide for full details.
Index your project files, PDFs, and documents with Apache Lucene + jvector. The model answers questions grounded in your own knowledge base.
Use the visual interface for daily work and the Askimo CLI for scripting and automation. Same provider config, seamless switching.
Chain multiple prompts into automated workflows (research, summarise, write) all in one click. No copy-pasting between windows.
All conversations and files stay on your device. No telemetry, no cloud sync, no data collection. Learn more about Askimo security.
Running Llama through Askimo takes under 5 minutes.
Run ollama pull llama3 (or your preferred Llama variant) in your terminal.
Launch Askimo App and choose Ollama as your provider. Set the endpoint to http://localhost:11434.
Select Llama from the model list and start chatting, or enable RAG to index your documents and get answers grounded in your own files.
CLI example:
askimo --provider ollama --model llama3 -p "Explain the Llama architecture" A fair feature comparison of the three most common ways to run Llama locally in 2026.
| Feature | Askimo App | Ollama CLI | Open WebUI |
|---|---|---|---|
| Visual chat interface | |||
| RAG (chat with your own files) | |||
| Multi-provider support (Ollama + cloud) | |||
| Conversation history and search | |||
| Open source (OSI-approved license) | |||
| Run models fully locally (100% private) | |||
| Native desktop app (no server or browser) | |||
| Works fully offline (no server process) | |||
| CLI interface for scripting | |||
| Local code block execution (Python, Bash) | |||
| MCP tools (file, git, web, APIs) | Partial | ||
| AI Plans (chained multi-step prompts) | |||
| Server-side pipelines / automation | Team edition (coming soon) | ||
| Multi-user / team features | Team edition (coming soon) | ||
| Web browser access (no app install) |
checkmark = included · x = not available · text = partial support. Based on publicly documented features as of 2026. Open WebUI uses a proprietary license (not OSI open source). Ollama CLI is open source (MIT).
Real workflows that benefit from a full Llama desktop workspace.
Keep proprietary code and sensitive business logic completely local. Get AI code review without sending a single line to a cloud server.
Index PDFs, notes, and reports with RAG. Ask Llama questions about your own documents. Everything is stored and processed on your machine.
Use AI Plans to chain Llama prompts: research a topic, draft a report, then summarise it, all in a single automated run.
Common questions about running Llama locally with a desktop GUI.
Askimo App is the most full-featured desktop GUI for Llama in 2026. It provides a native app for macOS, Windows, and Linux with built-in RAG (chat with your own files), MCP tool support, AI Plans for multi-step workflows, and the ability to switch between Llama and cloud providers like OpenAI, Claude, and Gemini, all in the same app.
Install Ollama (which handles model management) and Askimo App (which provides the visual interface). Once Ollama is running with a Llama model pulled, Askimo connects automatically. You can start chatting, index files, and manage conversations entirely through the GUI. No terminal commands needed.
Yes. Askimo includes built-in local RAG (Retrieval-Augmented Generation) powered by Apache Lucene and jvector. It indexes your PDFs, text files, and code locally, then feeds relevant context to Llama when you ask questions. Nothing leaves your machine.
Yes. Askimo works with any Llama model available through Ollama, from lightweight 3B variants to full 70B+ models for high-end hardware. Just pull the model with Ollama and it appears in Askimo's model selector.
Yes. Askimo supports Ollama (Llama, Mistral, DeepSeek, etc.) alongside OpenAI, Claude, Gemini, Grok, and others. You can switch providers per-conversation without reconfiguring anything. Your local RAG context is also available across providers.
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