{"data":{"slug":"jhubi1-ollama-app","name":"ollama-app","tagline":"A modern and easy-to-use client for Ollama","github_url":"https://github.com/JHubi1/ollama-app","owner":"JHubi1","repo":"ollama-app","owner_avatar_url":"https://avatars.githubusercontent.com/u/61345690?v=4","primary_language":"Dart","stars":1809,"forks":220,"topics":["ai","android","app","linux","llama","localai","ollama","ollama-client","windows"],"archived":false,"github_pushed_at":"2026-08-07T21:26:25+00:00","maintenance_label":"Steady","stars_delta_30d":12,"url":"https://www.graphcanon.com/tools/jhubi1-ollama-app","markdown_url":"https://www.graphcanon.com/tools/jhubi1-ollama-app.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/jhubi1-ollama-app","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=jhubi1-ollama-app","description":"A modern and easy-to-use client for Ollama","homepage_url":null,"license":"Apache-2.0","open_issues":31,"watchers":21,"ai_summary":"This repository provides an intuitive interface to interact with the Ollama AI framework through a simple cross-platform app.","readme_excerpt":"## Getting Started\n\nOllama App has a pretty simple and intuitive interface to be as open as possible. Everything just works out of the box, you just have to follow the next steps.\n\n---\n\n### Installation\n\nYou'll find the latest recommended version of the Ollama App under the [releases tab](https://github.com/JHubi1/ollama-app/releases). Download the correct executable onto your device and install it. If you want to install on a desktop platform, you might also have to follow the steps listed below, under [Ollama App for Desktop](#ollama-app-for-desktop).\n\nAlternatively, you can also download the app from any of the following stores:\n\n[<img src=\"assets/stores/IzzyOnDroid.png\" width=\"215\" />](https://apt.izzysoft.de/fdroid/index/apk/com.freakurl.apps.ollama/)\n\n\nThat's it, you've successfully installed Ollama App! Now just proceed to [Initial Setup](https://github.com/JHubi1/ollama-app/wiki/Getting-Started#initial-setup) or alternatively [Setup](#setup) below.","github_created_at":"2024-05-23T08:26:49+00:00","created_at":"2026-07-15T11:18:48.553181+00:00","updated_at":"2026-09-20T05:18:22.206251+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"android","name":"android"},{"slug":"app","name":"app"},{"slug":"linux","name":"linux"},{"slug":"windows","name":"windows"}],"trust":{"provenance":{"is_fork":false,"github_id":804768546,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-20T05:18:20.431Z","maintenance":{"label":"Steady","score":60,"methodology":"github_public_v1","releases_90d":0,"days_since_push":43,"last_release_at":"2024-09-14T13:30:03Z","stars_delta_30d":12,"open_issues_delta_30d":1},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-15T11:18:49.813Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-20T05:18:21.458Z"},"languages":{"value":["dart"],"source":"github.language","observed_at":"2026-09-20T05:18:21.458Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-20T05:18:21.458Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"min_ram_gb":null,"requires_docker":false},"constraints":{"min_ram_gb":null,"requires_docker":false},"when_to_use":["When you need an intuitive interface to interact with the Ollama AI framework across different platforms, including Android, Linux, and Windows.","If your project requires a straightforward installation process that works out of the box without extensive setup."],"when_not_to_use":["If you are looking for support in languages other than Dart as Ollama App is specifically developed using Dart.","When an advanced or highly customizable AI framework client is needed, given this tool provides a simpler interface and fewer customization options compared to more complex alternatives."],"source":"enrich:decision_facts","observed_at":"2026-07-17T13:33:08.766Z"},"constraint_facets":{"min_ram_gb":null,"requires_docker":false},"decision_summary":[{"label":"Adopt for","value":"A modern and easy-to-use client for Ollama AI framework in Dart under the Apache-2.0 license."},{"label":"License detail","value":"The software is distributed under the Apache-2.0 license, offering permissive terms for distribution and modification of the source code."}]}}