Developer Scales Personal AI System With Registry, Smarter Journal Management

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A software developer has detailed the latest upgrades to a personal AI orchestration system built around specialized agents named after Pokémon characters. To address unreliable task routing as the number of agents grew, a capability registry file was introduced so the orchestrator can look up each agent's skills rather than relying on memory. Three new agents were added to handle coding, adversarial code review, and conference talk preparation. A shared journal that had ballooned to over 240KB was tamed by introducing a keyword-based query script and an archiving tool that moves older entries into monthly files. Together, these changes reduced context window bloat and made the system more maintainable as it continues to expand.

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