Last updated: July 24, 2026
Beyond demos
A multi-agent demo on a laptop rarely survives finance and security review. Production needs inventories, keys, and kill switches.
Kimss digital employee patterns treat agents as managed workforce units inside workspaces: visible, portable, and metered. Orchestration logic may live in your application or frameworks like LangGraph, while governed execution goes through /v1.
See /docs/digital_employees and /enterprise-ai-agents for product vocabulary.
Governance requirements
Each agent should have an owner, environment, credit impact, and least-privilege tools.
- Workspace membership defines who can create or edit agents.
- Environment promotion re-materializes definitions into QA/staging/prod Foundry.
- Credit pools stop runaway multi-agent loops from becoming invoice incidents.
- Execution attribution answers which agent spent which credits.
Design patterns
Prefer explicit handoffs and human approval for sensitive tools over fully autonomous swarms in regulated contexts.
Start with one digital employee path, prove observability and credits, then expand the roster. Compare framework choices on /kimss-vs-langgraph without abandoning governance.
Getting started
Create a workspace, follow quick start, and read digital employees documentation before scaling concurrency.
MCP-enabled IDE agents should also pass through governed credentials—see /mcp-enterprise-ai. Track platform changes at /changelog.
Frequently asked questions
Is Kimss a multi-agent framework like AutoGen or LangGraph?
Kimss is the control plane. You can combine it with orchestration frameworks while keeping identity and spend centralized.
What are digital employees?
Productized agents managed on Kimss for real work streams—see /docs/digital_employees.
How do we prevent agent storms?
Use credit caps, monitor attribution, and gate dangerous tools behind approvals in your application layer.
Where is portability documented?
/docs/environments_and_agent_portability.