agentopology and AI-Agents-Orchestrator

These are **competitors**: both provide declarative frameworks for coordinating multiple AI coding assistants across different LLM backends, but agentopology offers broader deployment targets and actual usage (466 monthly downloads vs. 0), while the orchestrator focuses specifically on collaborative task decomposition via REPL/Vue interface.

agentopology
54
Established
AI-Agents-Orchestrator
45
Emerging
Maintenance 13/25
Adoption 13/25
Maturity 18/25
Community 10/25
Maintenance 13/25
Adoption 6/25
Maturity 9/25
Community 17/25
Stars: 40
Forks: 4
Downloads: 466
Commits (30d): 0
Language: TypeScript
License: Apache-2.0
Stars: 17
Forks: 11
Downloads: —
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No Package No Dependents

About agentopology

agentopology/agentopology

The Terraform for AI agents. Define your team once, deploy to Claude Code, OpenClaw, Cursor, Codex, Gemini, Copilot, Kiro. Declarative language (.at files) + Claude Code skill + interactive visualizer.

The `.at` declarative language compiles to platform-native configs (AGENT.md, soul.md, Cursor rules, etc.) via a CLI compiler, eliminating manual maintenance across fragmented ecosystems. Built-in validation against 82 rules catches topology errors before scaffolding, while the interactive Claude Code skill lets non-technical users define agent teams in plain English without learning syntax. The visualizer renders agent topologies as interactive graphs showing connections, tools, hooks, and quality gates—providing a single source of truth for multi-agent architecture that stays synchronized across seven deployment targets.

About AI-Agents-Orchestrator

hoangsonww/AI-Agents-Orchestrator

🪈 Intelligent orchestration system that coordinates multiple AI coding assistants (Claude, Codex, Gemini CLI, Copilot CLI) to collaborate on complex software development tasks via REPL or a Vue/Nuxt UI dashboard. Also includes an Agentic Team runtime with role-based multi-agent open communication & lead-gated final responses.

Supports both cloud CLIs (Claude, Codex, Gemini, Copilot) and local LLM backends (Ollama, llama.cpp-compatible) with automatic failover and offline operation. Built on a Flask backend with Socket.IO/WebSocket real-time communication, Pydantic-validated configuration, and a Vue 3/Nuxt dashboard featuring Monaco editor and Prometheus metrics integration. The standalone Agentic Team runtime enables role-based multi-agent communication with lead-gated response approval, separate from the main orchestrator workflow execution path.

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