{"data":{"slug":"dstackai-dstack","name":"dstack","tagline":"Vendor-agnostic orchestration for training, inference and agentic workloads","github_url":"https://github.com/dstackai/dstack","owner":"dstackai","repo":"dstack","owner_avatar_url":"https://avatars.githubusercontent.com/u/54146142?v=4","primary_language":"Python","stars":2253,"forks":262,"topics":["agent-skills","agentic-orchestration","amd","cloud","containers","docker","fine-tuning","gpu","inference","k8s","kubernetes","llms","machine-learning","nvidia","orchestration","python","slurm","training"],"archived":false,"github_pushed_at":"2026-09-17T13:04:02+00:00","maintenance_label":"Very active","stars_delta_30d":61,"url":"https://www.graphcanon.com/tools/dstackai-dstack","markdown_url":"https://www.graphcanon.com/tools/dstackai-dstack.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/dstackai-dstack","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=dstackai-dstack","description":"Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.","homepage_url":"https://dstack.ai/docs","license":"MPL-2.0","open_issues":64,"watchers":14,"ai_summary":"dstackai/dstack provides orchestration for AI workloads including training, inference, and agentic tasks across various hardware and environments like clouds, Kubernetes, and bare metal.","readme_excerpt":"### Install the CLI\n\n<details><summary>If the CLI is not installed with the server</summary>\n\nOnce the server is up, you can access it via the `dstack` CLI.\n\nThe CLI can be installed on Linux, macOS, and Windows. It requires Git and OpenSSH.\n\n```shell\n$ uv tool install dstack -U\n```\n\nTo point the CLI to the `dstack` server, configure it\nwith the server address, user token, and project name:\n\n```shell\n$ dstack project add \\\n    --name main \\\n    --url http://127.0.0.1:3000 \\\n    --token bbae0f28-d3dd-4820-bf61-8f4bb40815da\n\nConfiguration is updated at ~/.dstack/config.yml\n```\n\n</details>\n\n---\n\n### Install agent skills\n\nInstall [`dstack` skills](https://skills.sh/dstackai/dstack/dstack) to help AI agents use the CLI and edit configuration files.\n\n```shell\n$ npx skills add dstackai/dstack\n```\n\nAI agents like Claude, Codex, and Cursor can now create and manage fleets and submit workloads on your behalf.\n\n---\n\n## License\n\n[Mozilla Public License 2.0](LICENSE.md)","github_created_at":"2022-01-04T10:29:46+00:00","created_at":"2026-07-11T11:38:17.615002+00:00","updated_at":"2026-09-20T04:30:39.335199+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"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":"agent-skills","name":"agent-skills"},{"slug":"agentic-orchestration","name":"agentic-orchestration"},{"slug":"amd","name":"amd"},{"slug":"cloud","name":"cloud"},{"slug":"containers","name":"containers"},{"slug":"docker","name":"docker"},{"slug":"fine-tuning","name":"fine-tuning"},{"slug":"gpu","name":"gpu"}],"trust":{"provenance":{"is_fork":false,"github_id":444377346,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-18T08:25:06.079Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":13,"days_since_push":0,"last_release_at":"2026-09-17T14:13:28Z","stars_delta_30d":61,"open_issues_delta_30d":3},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-09-18T08:25:08.209Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-09-18T08:25:04.990Z"},"has_cli":{"value":true,"source":"pyproject.toml:[project.scripts]","observed_at":"2026-09-18T08:25:04.990Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-09-18T08:25:04.990Z"},"license_spdx":{"value":"MPL-2.0","source":"github.license","observed_at":"2026-09-18T08:25:04.990Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"The core functionality of dstack is free and open-source under the Mozilla Public License 2.0. Additional services or support may be available for a fee."},"requirements":{"notes":["Requires Git and OpenSSH for CLI installation and configuration."],"min_ram_gb":null,"requires_docker":true},"constraints":{"min_ram_gb":null,"pricing_model":"freemium","requires_docker":true},"when_to_use":["When you need orchestration for AI workloads that can run on a variety of hardware like NVIDIA, AMD, TPU, and Tenstorrent, and across different environments such as clouds, Kubernetes, and bare metal.","If you are working with AI agents and want to enable them to manage fleets and submit workloads on your behalf using the dstack CLI.","When you require a tool that supports both Python and integrates well with container technologies like Docker and Kubernetes."],"when_not_to_use":["If you are looking for a tool that is tightly integrated with a specific cloud provider or hardware vendor, as dstack is designed to be vendor-agnostic.","When your project strictly requires proprietary licensing, as dstack is licensed under the Mozilla Public License 2.0, which is open source.","If your team does not have the capability to install and configure the dstack CLI, which requires Git and OpenSSH, and involves setting up a server and configuring it with a user token and project URL"],"source":"enrich:decision_facts","observed_at":"2026-09-18T11:50:17.357Z"},"constraint_facets":{"min_ram_gb":null,"pricing_model":"freemium","requires_docker":true},"decision_summary":[{"label":"Pricing","value":"freemium - The core functionality of dstack is free and open-source under the Mozilla Public License 2.0. Additional services or support may be available for a fee."},{"label":"Requirements","value":"Requires Docker; Requires Git and OpenSSH for CLI installation and configuration."},{"label":"Adopt for","value":"dstack is a vendor-agnostic orchestration tool for AI workloads, including training, inference, and agentic tasks, across various hardware and environments."},{"label":"License detail","value":"dstack is licensed under the Mozilla Public License 2.0, which is an open-source license."}]}}