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 — Agentic Coding Workspaces
Kaiden — Agentic Coding Workspaces Kaiden — Agentic Coding Workspaces
Kaiden

Why Kaiden

Built for developers juggling multiple agents

Kaiden — Sessions
One place for all your agents One place for all your agents

One place for all your agents

SessionsStatusModels

Running Claude Code on one task, OpenCode on another, something else in the background. Kaiden gives you a single view across every session.

Kaiden — Workspace config
Click go, not configure Click go, not configure

Click go, not configure

ModelsMCPSkillsContext

Define a workspace once: pick the model, load the MCP servers, attach your skills and context. Every time you start a session, the agent has exactly what it needs from the first prompt.

Kaiden — Agents
Any agent, same setup Any agent, same setup

Any agent, same setup

Claude CodeGooseOpenCodeCursor

Kaiden doesn't replace the agents you use today. It wraps around them so your workspace config, secrets, and tools travel with you.

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

01

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.

02

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.

03

Devcontainer support

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

04

Secret vault

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

05

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.

06

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
Platform
Engineer
AI Assets Platform
claude-3.5 — allowed
github.com MCP — approved
unknown-registry — blocked
skill-set: backend-team-v2
enforces
Developer
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.