Tank review
A specialized, open-source package manager for distributing AI-agent packages.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Tank is an open-source package manager and registry built for AI-agent skills and reusable agent packages. It supports packages such as instructions, hooks, tools, agents, rules, resources, prompts, and bundles. CLI installation, public and self-hosted registries, API access, and private registry authentication make it relevant to individuals and organizations distributing agent components across Claude Code, Cursor, GitHub Copilot, Codex, Windsurf, OpenCode, Cline, and Roo Code.
Its strongest case is controlled package distribution. Tank resolves transitive dependencies, applies semantic versioning, and creates deterministic tank.lock lockfiles. SHA-512 package integrity verification adds a defined check on package contents, while permission budgets cover network, filesystem, and subprocess access. The six-stage security scanning pipeline and escalation detection add further controls, and the Credential Vault is designed to protect agent credentials. These features suit teams that need reproducible installations and explicit boundaries around what agent packages can access.
The published offering is open source, with the registry, CLI, and security scanner available free under the MIT license. GitHub Actions publishing, an MCP server for AI editors, and integrations across the listed coding environments extend Tank beyond a local installer. Its narrow focus is also the main constraint: teams seeking a general-purpose package manager, broader software ecosystem, or offline workflows should choose another tool. Tank is a fit for developers and organizations standardizing AI-agent package delivery, especially where dependency control and security checks matter more than broad package coverage or established maturity.
Tank pros and cons
- Where it wins
- Deterministic tank.lock files with SHA-512 integrity verification
- Permission budgets and a six-stage security scanning pipeline
- Works across major AI editors with public or self-hosted registries
- Where it doesn't
- Focused on AI-agent packages rather than general software dependencies
- No offline support for package workflows
- Maturity is still unverified for teams needing an established ecosystem
Tank fact sheet, pricing and score →
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