Operator Agents
66 AI agents with machine-readable YAML schemas
What it does
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 — what the agent needs to run • context.required — what inputs you must provide • output.format — json, markdown, code, or mixed • pipeline.handoff_to — which agent runs next + condition This makes agents composable. An orchestrator can read agent-index.json and route tasks automatically.
Does the same job
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- AKAgent Kernel – Three Markdown files that make any AI agent statefulMar 2026 · github.com · ▲44
- OEOpen Envelope – an open schema for defining AI agent teamsMay 2026 · openenvelope.org · ▲52
Built an open JSON Schema for defining AI agent teams. Multi-agent systems are becoming a real deployment pattern — not single assistants, but teams with roles, handoffs, and human checkpoints. But there's no shared way to define one that travels across frameworks. Every implementation is scattered, locked to whichever tool you picked first. Built the schema to fix that. The schema lives at schema.openenvelope.org and is registered in SchemaStore, so if you drop a .envelope.json file in VS Code you get autocomplete and validation without installing anything. It's also on npm as…
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