Agentopology

AgenTopology

  Harness as code. The Terraform for AI agents.
  Define your agent team — and its memory — once. Run it now, or deploy it anywhere.

  Claude Code · Claude Workflow · OpenClaw · Codex · Cursor · Gemini CLI · Copilot · Kiro

  New in 0.4: agentopology plan — enact a topology with your coding agent's own
  sub-agents.No files generated. Nothing to maintain.

  Ships with a Claude Code skill — just type /agentopology and describe your team.

The Problem

Building one AI agent is easy. Building a team of agents that actually works together is brutal.

You want a marketing team? A dev pipeline? A support squad? You spend hours wiring up AGENT.md files, soul.md configs, MCP servers, hooks, and scripts. You get it working in Claude Code. Then you need the same team in OpenClaw — and you start from scratch. Different config format. Different directory structure. Different conventions. Same agents, same logic, zero portability.

OpenClaw alone needs soul.md, skill files, channel configs, gateway setup, and workspace definitions — for each agent. Multiply that by 5 agents and you're maintaining 20+ files that you can't visualize, validate, or hand off to anyone.

And that's just the platform problem. The architecture problem is worse:

- How do you see the big picture? Your topology is scattered across 15 files in nested directories. No diagram. No single source of truth.
- How do agents talk to each other? You hack together file-based protocols or copy-paste context between prompts. There's no standard.
- How do you enforce quality? You want a gate between stages but there's no standard way to define one.
- How do you move fast? Every new agent means touching 5-12 files across multiple tools.

AgenTopology fixes all of this.

Write your agent team in one .at…