New Sandbox
Configure your sandbox once — filesystem scope, network policy, tools & secrets. Agent sessions are started inside the workspace after creation.
Workspace
Local folder or Git remote — we detect it, analyze the tree, and name the workspace.
Path, HTTPS/SSH URL, or GitHub owner/repo. Use ./ for local folders that look like a/b.
Description (optional)
Saved project (optional)
Load defaults from a project
Path, skills, MCP, vault, knowledges, and access presets — same cards as on Projects.
Agent & model
Pick a coding agent, then choose its default model — same rhythm as onboarding.
Choose your coding agent
Pick one runtime for kdn in this workspace. API keys and providers are configured in Settings; the list below shows models that match the selected agent.
Select a Semantic Router. The agent will call http://localhost:{port}/v1/chat/completions using model: "auto" — the router picks the best backend for each request automatically.
Model for this workspace
Choose the default model OpenCode will use here. Names match the Models catalog. Disabled rows cannot be selected; the table is filtered to models that fit the agent you picked above (OpenCode: all sources; Claude Code: Anthropic cloud; Codex: OpenAI & Composer).
Cloud · LLM providers
| Status | Name | Size | Runtime | Use |
|---|---|---|---|---|
|
composer-2-fast
Cloud · enabled in catalog
|
— | Composer | ||
|
gpt-5.3-codex
Cloud · enabled in catalog
|
— | OpenAI | ||
|
gpt-5.4-medium
Cloud · enabled in catalog
|
— | OpenAI | ||
|
claude-4.6-sonnet-medium
Cloud · enabled in catalog
|
— | Anthropic | ||
|
claude-4.6-opus-high
Cloud · enabled in catalog
|
— | Anthropic | ||
|
composer-2
Cloud · disabled in catalog
|
— | Composer | ||
|
gpt-5.3-codex-low
Cloud · disabled in catalog
|
— | OpenAI |
In-house · OpenShift AI
| Status | Name | Size | Age | Use |
|---|---|---|---|---|
|
ibm-granite-3.3-8b-instruct
OpenShift AI · Apache-2.0
VRAM est. 8.2 GiB
|
4.8 GB | 2 weeks | ||
|
mistral-small-internal
OpenShift AI
VRAM est. 11 GiB
|
6.1 GB | 1 month | ||
|
llama-3.1-70b-instruct
OpenShift AI · pending approval
RAM usage: N/A
|
— | — |
Local · Ollama & Ramalama
| Status | Name | Size | Runtime | Use |
|---|---|---|---|---|
|
qwen3-code
GGUF · loaded in memory · OpenCode default
RAM usage: 5.8 GiB
|
5.4 GB | Ollama | ||
|
llama3.2:3b
GGUF · loaded in memory
RAM usage: 3.93 GiB
|
2.0 GB | Ollama | ||
|
mistral:latest
GGUF · loaded in memory
RAM usage: 4.4 GiB
|
4.1 GB | Ollama | ||
|
qwen2.5:7b
Not loaded — Ramalama stopped
RAM usage: N/A
|
4.7 GB | Ramalama |
Tools & secrets
Which credentials does this workspace need? Kaiden will give the agent access to each selected service automatically.
Customize skills, MCP servers, vault, and knowledges
Skills
6 skillsMCP Servers
6 serversSecret Vault
6 credentialsKnowledges
4 knowledge basesOptional retrieval context for the agent. Manage environments in Knowledges.
Filesystem
Your project files are mounted into a secured workspace with filesystem isolation — the agent cannot reach anything outside these paths.
Files outside these paths are not accessible to the agent — enforced at the kernel level.
Advanced — add extra read-only or read-write paths
Changes to filesystem paths require recreating the workspace.
Networking
What can this workspace connect to? Choose a mode — you can adjust this later in the project's network settings.