No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by dstackai · Agent Tool · ★ 2.3k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is dstack safe to install? View the security audit →
is a unified control plane for GPU provisioning and orchestration that works with any GPU cloud, Kubernetes, or on-prem clusters. It streamlines development, training, and inference, and is compatible with any hardware, open-source tools, and frameworks. Accelerators supports , , , , and accelerators out of the box. Latest news ✨ [2025/12] dstack 0.20.0: Fleet-first UX, Events, and more [2025/11] dstack 0.19.38: Routers, SGLang Model Gateway integration [2
| Stars | 2,258 |
| Forks | 266 |
| Language | Python |
| Category | Agent Tool |
| License | MPL-2.0 |
| Quality Score | 67.8345946037712/100 |
| Open Issues | 67 |
| Last Updated | 2026-09-22 |
| Created | 2022-01-04 |
| Platforms | docker, k8s, python |
| Est. Tokens | ~14k |
These tools work well together with dstack for enhanced workflows:
Looking for a dstack alternative? If you're comparing dstack with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Run any process, on your machine or in an AI agent's environment, as if it were a pod in your Kubernetes clust
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation,
An AI Gateway, registry, and proxy that sits in front of any MCP, A2A, or REST/gRPC APIs, exposing a unified e
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and
Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning
ACP is the Agent Control Plane - a distributed agent scheduler optimized for simplicity, clarity, and control.
Explore other popular agent tool tools:
dstack is Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.. It is categorized as a Agent Tool with 2.3k GitHub stars.
dstack is primarily written in Python. It covers topics such as agent-skills, agentic-orchestration, amd.
You can find installation instructions and usage details in the dstack GitHub repository at github.com/dstackai/dstack. The project has 2.3k stars and 266 forks, indicating an active community.
dstack is released under the MPL-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to dstack on Agent Skills Hub include mirrord, Kiln, mcp-context-forge. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: