All activity
ost AI agent libraries are markdown files in a folder. Operator Agents is different.
Every agent ships with a structured YAML schema defining:
⢠tools.required ā what the agent needs to run
⢠context.required ā what inputs you must provide
⢠output.format ā json, markdown, code, or mixed
⢠pipeline.handoff_to ā which agent runs next + condition
This makes agents composable. An orchestrator can read agent-index.json and route tasks automatically.
Operator Agents66 AI agents with machine-readable YAML schemas
Fatih Kutlarleft a comment
Hey PH! š I'm Fatih, automation architect and the builder behind Operator Agents. Quick story: I kept building multi-agent automations and hitting the same wall ā agent libraries gave me prompts but no structure. No way to know what an agent needs, what it outputs, or what should run next. So I designed AGENT_SPEC.md ā a YAML schema every agent must follow. Then built 66 agents following this...
Operator Agents66 AI agents with machine-readable YAML schemas
