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Developer Builds Multi-AI Orchestration System to Bypass Rate Limits Using Parallel Agents

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A developer has created a 'delegate pattern' system that runs Claude Code, OpenAI Codex, and Google Gemini CLI simultaneously as parallel sub-agents to work around individual API rate limits. The approach assigns Claude Code as a parent orchestrator while Codex and Gemini act as child agents, each drawing from independent API pools so work continues even when one provider hits its limit. Obsidian Markdown files serve as the communication channel between agents, eliminating context pollution and dropped connections that plagued earlier message-bus approaches. Child agents receive task files, execute independently in separate processes, and return only their results, keeping the parent agent's context clean. The project is open source and available on GitHub, requiring paid plans for both OpenAI Codex and Google Gemini CLI to function fully.

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Developer Builds Multi-AI Orchestration System to Bypass Rate Limits Using Parallel Agents · ShortSingh