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Connect multiple AI coding agents to collaborate on development tasks efficiently.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "acli-helper" yet — see the docs or source repo.
Use acli-helper to have Claude Code, Codex CLI, and Gemini CLI collaborate on a refactoring task: first let Claude Code analyze the current codebase, then have Codex CLI generate a refactoring plan, and finally ask Gemini CLI to review risks and summarize recommendations.
A combined multi-agent result including codebase analysis, refactoring recommendations, and a risk review summary.
With acli-helper, distribute a complex error across multiple AI coding agents: have one agent find the root cause, another inspect dependencies and configuration, and a third propose a fix patch, then consolidate everything into one conclusion.
Receive a unified diagnosis, fix strategy, and actionable patch recommendations from parallel investigation.
Use acli-helper to run a cross-model code review: have different AI coding agents review the same code from maintainability, performance, and security perspectives, then output a merged review checklist.
Generate a consolidated code review checklist covering maintainability, performance, and security recommendations.
Orchestrate multiple AI CLIs with retries, failover, and resilient task routing.
Run multiple AI CLIs in parallel with async multitasking and auto permissions.
Connect coding agents to multiple models for in-chat consultation and code review.
Connect Claude to logged-in MCP services for multi-AI collaborative analysis.
Orchestrate multiple AI agent CLIs for complex collaborative tasks with shared memory.
Enable Claude Code to perform coding tasks through the OpenAI Codex CLI.