Orchestration AI Agent Skills

Self-hosted workflow orchestration with first-class support for AI agent steps. Airflow alternative with a lighter footprint — single Go binary, YAML DAGs, built-in web UI. Runs LLM tasks alongside shell, HTTP, and Docker steps.

Multi-agent orchestration platform for enterprise AI development. Run 12+ AI agents concurrently with full governance, Gemini-powered code review, and enforced quality gates. Solves coordination, verification, and metrics challenges that stall enterprise AI adoption.

You can run the MCP Server in a Docker container. This is useful if you want to avoid managing Python environments or dependencies on your local machine. See kestramcpdocker. Paste the following configuration into your MCP settings (e.g., Cursor, Claude, or VS Code): - Replace , , and with your actual credentials. - For OSS installations, you can use KESTRAUSERNAME and KESTRAPASSWORD instead of KE

OS-like agent runtime that sits between the model and your application. LobeHub's Chief Agent Operator hires agents from a 273K skill marketplace and runs them 24/7 in the cloud, reporting through Slack, Discord, and other platforms. Model as CPU, context window as RAM.