Kaiden — AI coding agents. Governed, isolated, open.

4 min read Original article ↗

Desktop App for Agentic Development

From the Podman Desktop Team · Open source · Apache 2.0

Run AI agents safely.
On your terms.

Kaiden runs your coding agents in isolated sandboxes and equips them with the models, tools, and assets they need. Repeatable, preconfigured environments to iterate faster. Experiment safely. Works locally or in your enterprise environment. Built for developers, governed by your platform team.

macOS · Linux · Windows — free, open source

Supported Coding Agents :

Claude CodeGooseCursorOpenCode

Supports

RamalamaOllamaGeminiMistralAnthropicOpenAIOpenShift AI

Kaiden

Why Kaiden

Built for developers juggling multiple agents

Core principles

Adopt AI agents safely, at any scale

Safe by design

AI agents touch your code, your tools, your credentials. One bad session can cause real damage. Kaiden runs every agent in its own sandbox, a container backed by Podman or a microVM powered by libkrun, so the rest of your system stays untouched.

Enterprise connected

A generic AI tool starts from zero every time. Kaiden connects your agents to the tools, APIs, and knowledge that already exist in your organization, so they actually understand the context they're working in.

Local to remote, your choice

Run agents locally when you need speed or privacy. Switch to a remote environment when you need more power. Kaiden handles both without changing how you work.

How it works

From install to safe AI coding in minutes

01

Install & configure

Coding agents

Model providers

MCP servers

Skills

Ready to build

Install Kaiden application and follow the flow to configure your coding agents, secrets, connect model providers (local or remote), and import your existing MCP servers and skills. Kaiden is ready to orchestrate your coding agents.

02

Create an AI Agentic workspace

SecretsNetwork

Workspace

Tools Skills APIs

Agent ① Agent ②

Spin up a coding workspace for your project. You choose the coding agent you want, pick the tools it needs and equip the agent with the skills and MCP servers already in your environment. Run multiple agents in parallel, each in its own sandbox.

03

Code with confidence

sandbox

▣ Agent

fs /workspace authorized

net github.com/openkaiden authorized

net unknown-registry locked

proc pnpm authorized

Use your coding agent the same way you always have, straight from the CLI. The agent runs inside a sandbox, so the blast radius stays contained. You stay in control of what it can reach. No more worrying about what it might accidentally break.

Capabilities

Everything you need to run agents at scale

Isolated sandboxes

Each agent session runs in its own container powered by Podman or in a microVM powered by libkrun. Hardware-isolated from your host, reproducible, and ephemeral by default.

Open by design

Use frontier models and coding agents like Claude Code or Codex, or go fully open source with local models and agents like OpenCode or Goose. No lock-in.

Devcontainer support

Devcontainers let you predefine repeatable environments that automatically equip the agent with the right dev tools inside its sandbox.

Secret vault

Store API keys, tokens, and credentials scoped to workspaces or projects. Secrets are injected at runtime, never exposed directly to the agent.

Hybrid compute

Tasks that don't need a large model run locally. Heavier workloads route to remote environments. Semantic routing picks the right compute automatically based on what the agent actually needs.

Enterprise governance

Platform engineers define which models, MCP servers, skills, and context are permitted. Governance is enforced through the workspace config.

For platform teams

IT controls what developers can run.

Security and Platform teams set the rules once: which models, secrets, tools, and MCP servers are permitted. Then developers can build and run agents without needing to ask for permissions every time. Connect to governance platforms that manage AI Assets.

  • Define allowed model providers
  • Curate and distribute skills across teams
  • Manage MCP servers & tools
  • Enforce governance via workspace config

AI Assets Platform

claude-3.5 — allowed

github.com MCP — approved

unknown-registry — blocked

skill-set: backend-team-v2

Kaiden — workspace

api-refactor running

model: claude-3.5-sonnet

skills: backend-team-v2

Open source

Built in the open.
Auditable by design.

Kaiden is built by the team behind Podman Desktop, with over 4 million downloads. Same foundations, same philosophy: open source, extensible, and yours to run however you want.

The sandboxes that protect your agent sessions are built backed by Podman and libkrun microVMs — the same stacks trusted by millions of developers, now securing your AI agents.

Kaiden Kaiden

Podman Desktop Podman Desktop

Podman Podman

Get started

Install in seconds

# Download from Website

click `Download` button on the website

# Or download from GitHub Releases

open https://github.com/openkaiden/kaiden/releases

# Available for macOS, Linux, and Windows

# .dmg · .AppImage · .exe

Ready. Happy coding!

Need help? Read the docs on GitHub.