Kasetto
Declarative AI agent environment manager: sync skills, commands, MCPs & instructions across all your agents from one YAML file.
Kasetto solves the fragmentation of AI agent configuration with a single declarative file. Its Rust-based performance, secret injection, and CI-friendly design make it a serious tool for teams. Open-source and free, it's hard to beat for multi-agent setups—though solo users with one simple agent may find it overkill.
- Developers using multiple AI coding agents who want centralized environment management
- Teams that share skills, commands, or MCP configurations across projects
- CI/CD pipelines requiring reproducible agent environments
- Developers who want declarative, version-controlled agent setup
- Non-developers or users who don't work with AI coding agents
- Those who prefer GUI-based configuration over CLI tools
- Teams using only one agent with simple needs (overkill)
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In short
Kasetto — Declarative AI agent environment manager: sync skills, commands, MCPs & instructions across all your agents from one YAML file. Best for Developers using multiple AI coding agents who want centralized environment management, Teams that share skills, commands, or MCP configurations across projects, CI/CD pipelines requiring reproducible agent environments. Free to use.
Viability Score
How likely is Kasetto to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Declarative YAML config for skills, commands, MCPs, and instructions
- Multi-agent sync: apply config to 21 preset agents (Claude Code, Cursor, Codex, Copilot, etc.)
- Asset sourcing from GitHub, GitLab, Bitbucket, or self-hosted Git repos
- Secret injection from env vars, 1Password, HashiCorp Vault, AWS Secrets Manager, Google Secret Manager, Azure Key
- Incremental sync with content hashing and lock file (seconds per sync)
- Non-destructive merge via managed blocks in aggregate files (e.g., CLAUDE.md)
- Built-in CLI commands: init, add, remove, sync, list, doctor
- Dry-run mode for previewing changes before applying
- YAML extends for composable, reusable configurations
- Ref pinning (tags, commits) for reproducible setups
- Custom destination paths for non-standard agent file locations
- Universal static binary for macOS, Linux, Windows
- JSON output and real exit codes for CI/CD pipelines
About Kasetto
Kasetto is a Rust-based CLI tool that declaratively manages the environment of AI coding agents (Claude Code, Cursor, Codex, Copilot, and more). Instead of manually updating each agent's config, you define skills, commands, MCP servers, and instructions in a single YAML file—then run `kst sync` to apply across all agents at once. It's designed for developers and teams who rely on multiple AI coding assistants and need a repeatable, version-controlled way to keep agent environments in sync. At its core, Kasetto sources assets from Git repositories (public or private) or local paths. Secrets are resolved from environment variables or external secret stores at sync time—never committed to code. The tool hashes content and diffs against a lock file, so only changed files are updated, making syncs fast (seconds). Principled merge logic adds or inlines content in managed blocks (e.g., CLAUDE.md) without overwriting manual edits. Key capabilities include declarative YAML configuration, support for 21 built-in agent presets, secret injection via 1Password, Vault, KeePass, cloud secret managers, and macOS Keychain, plus comprehensive YAML inheritance with `extends`. The static binary works on macOS, Linux, and Windows, and produces JSON output and real exit codes for CI automation. Compared to manual setup or ad-hoc scripts, Kasetto centralizes configuration and scales for teams. It's open source and free, making it accessible, but it's most valuable when you manage multiple agents or collaborate across a team.
Behind the Verdict
Kasetto targets a real pain: the sprawl of configuring multiple AI coding agents. If you've ever juggled separate .cursorrules, CLAUDE.md, and AGENTS.md files, this tool is a breath of fresh air. Write one YAML, run `kst sync`, and every agent is in lockstep. We'd reach for this when working on a team that shares skill packs or MCP servers. The secret injection feature is a standout—it resolves tokens from 1Password, Vault, cloud providers, or macOS Keychain at sync time, so secrets stay out of your repo. The lock file and content hashing make repeated syncs fast (seconds), and the managed block merge means you won't lose manual additions to aggregate files. Where it bites: if you use only one agent with a simple config, Kasetto adds setup overhead. It's a CLI tool—no GUI. You must be comfortable writing YAML and understanding agent file formats. The documentation is thorough but still requires some learning. Also, while 21 presets cover most coding agents, custom destinations might need manual path overrides. Compared to alternatives like manual dotfiles or in-house scripts, Kasetto wins on structure and community support. It's not the only agent config tool out there—others like AgentCLI or git-based templates exist—but Kasetto's breadth of integrations and secret management sets it apart. For solo devs with a single agent, stick with manual config. For anyone managing multiple agents or collaborating, it's worth the investment. Caveat: the project is relatively young (v3.5.0 as of mid-2026). Keep an eye on stability, but the active GitHub and clear changelog suggest solid momentum.
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Use Cases
- Sync a shared set of skills and commands from GitHub to all developers' Claude Code and Cursor instances.
- Inject API tokens via 1Password or Vault into agent MCP configurations without hardcoding secrets.
- Integrate Kasetto sync into a CI pipeline to ensure every build uses identical agent skill sets.
- Define an 'extends' base config for an organization and override with per-project additions.
- Preview changes with --dry-run before applying a new skill pack across dozens of repositories.
- Migrate from manual CLAUDE.md editing to a declarative, version-controlled setup with managed blocks.
Limitations
- Kasetto is CLI-only with no GUI.
- It requires familiarity with YAML and Git.
- While it supports many secret providers, initial setup of authentication may be non-trivial for some users.
- The tool is focused on AI coding agents—it does not manage other ML environments or non-agent tools.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Integrations
Resources & Guides
- Documentationkasetto.dev
Docs · Kasetto
Full product docs from kasetto.dev
- Documentationkasetto.dev
Configuration · Kasetto
Full product docs from kasetto.dev
- Documentationkasetto.dev
Commands · Kasetto
Full product docs from kasetto.dev
- Documentationkasetto.dev
Authentication · Kasetto
Full product docs from kasetto.dev
- Documentationkasetto.dev
Writing Skills · Kasetto
Full product docs from kasetto.dev
- Documentationkasetto.dev
How Sync Works · Kasetto
Full product docs from kasetto.dev
Official links
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