AgentPipe orchestrates multi-agent conversations by enabling different AI CLI tools to communicate in shared rooms. It benefits operations teams by automating complex workflows. The app connects to tools like Claude Code, Gemini, and Qwen, streamlining AI-driven tasks.
git clone https://github.com/kevinelliott/agentpipe.gitAgentPipe orchestrates multi-agent conversations by enabling different AI CLI tools to communicate in shared rooms. It benefits operations teams by automating complex workflows. The app connects to tools like Claude Code, Gemini, and Qwen, streamlining AI-driven tasks.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/kevinelliott/agentpipeCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Set up an AgentPipe room for [PROJECT NAME] with the following tools: [TOOL 1], [TOOL 2], and [TOOL 3]. Define the objective as '[OBJECTIVE]'. Specify the initial prompt for the first agent to start the conversation. Ensure the agents communicate effectively to achieve the goal.
Room ID: ap-789012 Objective: Automate the data extraction and analysis process for the quarterly report. Initial Prompt: 'Extract sales data from the CRM for Q3 2023 and analyze trends.' Agent 1 (Claude Code): 'Extracted sales data from CRM. Identified a 15% increase in sales compared to Q2.' Agent 2 (Gemini): 'Analyzed the data and found that the increase is primarily due to the new marketing campaign.' Agent 3 (Qwen): 'Generated a summary report and sent it to the project manager.' Status: Completed
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