How one developer built a control plane to run five Claude Code agents in parallel

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A developer built a Flask-based control plane to manage five Claude Code CLI processes simultaneously, rather than calling Anthropic's API directly and building a custom agent loop. The system maps each project to its own Claude subprocess, with a dashboard that streams live output only for actively running projects to avoid connection limits. Key engineering fixes included writing context to files instead of passing it as CLI arguments, which avoids Windows command-line character truncation and shell quote-mangling issues. A structured memory pipeline — covering writing, storing, reading, and trimming — keeps each agent's context lean and reliable across sessions. The project also explored multi-agent coordination on interdependent features using a durable, append-only log so agents can track each other's intentions and completed work.

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