{"data":{"slug":"fiveoutofnine-whatcanirun","name":"whatcanirun","tagline":"Find best models and run them locally","github_url":"https://github.com/fiveoutofnine/whatcanirun","owner":"fiveoutofnine","repo":"whatcanirun","owner_avatar_url":"https://avatars.githubusercontent.com/u/66016924?v=4","primary_language":"TypeScript","stars":248,"forks":23,"topics":["apple-silicon","llamacpp","llm","local-llm","mlx"],"archived":false,"github_pushed_at":"2026-08-26T00:05:07+00:00","maintenance_label":"Active","stars_delta_30d":3,"url":"https://www.graphcanon.com/tools/fiveoutofnine-whatcanirun","markdown_url":"https://www.graphcanon.com/tools/fiveoutofnine-whatcanirun.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/fiveoutofnine-whatcanirun","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=fiveoutofnine-whatcanirun","description":"Find the best models and how to run them locally.","homepage_url":"https://whatcani.run","license":"MIT","open_issues":5,"watchers":0,"ai_summary":"A resource for identifying suitable AI models and instructions on running them in local environments.","readme_excerpt":"## Getting Started\n\nThis project uses [Bun](https://bun.sh) and [Turborepo](https://turbo.build/repo).\n\n```bash\ngit clone https://github.com/fiveoutofnine/whatcanirun.git\ncd whatcanirun\nbun install\n```","github_created_at":"2026-03-03T13:45:29+00:00","created_at":"2026-07-15T11:00:24.597354+00:00","updated_at":"2026-09-20T05:05:02.040515+00:00","categories":[{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"apple-silicon","name":"apple-silicon"},{"slug":"llamacpp","name":"llamacpp"},{"slug":"local-llm","name":"local-llm"},{"slug":"mlx","name":"mlx"}],"trust":{"provenance":{"is_fork":false,"github_id":1171677128,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-20T05:04:59.401Z","maintenance":{"label":"Active","score":82,"methodology":"github_public_v1","releases_90d":0,"days_since_push":25,"last_release_at":null,"stars_delta_30d":3,"open_issues_delta_30d":2},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-15T11:00:25.807Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-09-20T05:05:00.421Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-09-20T05:05:00.421Z"},"languages":{"value":["typescript","javascript"],"source":"github.language+package.json","observed_at":"2026-09-20T05:05:00.421Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-09-20T05:05:00.421Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["Ideal if your development environment relies on Apple Silicon hardware as it offers optimized guidance for such setups.","Suitable when you need clear and concise TypeScript-related resources to understand how to deploy AI models locally.","Desirable for team members or developers who want quick insights into running popular local LLMA models like Llama.cpp."],"when_not_to_use":["Not recommended if your project primarily uses languages other than TypeScript, as the instructions might not align with alternative development environments.","Avoid using it when you specifically require support for cloud-based AI model deployment processes; this tool emphasizes local environment setups."],"source":"enrich:decision_facts","observed_at":"2026-07-17T13:35:51.778Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"whatcanirun is ideal for developers looking to easily discover and run AI models locally, particularly on Apple Silicon hardware, through TypeScript-based instructions."}]}}