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Yarchi
@undefinedKi
AI & tech researcher | Data engineer | Building cool stuff | Sharing everything I learn
参加 March 2015
519 フォロー中    20.7K ファン
Nobody warns you about this when you start running multiple agents The more agents you add, the more they forget. Each one is smart on its own, but none of them knows what the others did, so you end up as the messenger between them. But once you get it right, the setup feels almost unfair: OpenClaw sits at the front as the router. Every task goes to it first, and it decides who handles it. It also keeps research, notes, and planning for itself. Claude Code gets the thinking-heavy stuff: architecture, big refactors, the nasty bugs. Codex gets execution: well-defined tasks, tests, cleanup. Fast and cheap for the boring 80%. Each one does what it's actually good at, and you stop paying top-model prices for grunt work. Even Simon Willison, the co-creator of Django, runs Claude Code and Codex side by side and sends the riskier tasks off to Codex Cloud. The catch is that they don't share memory. Each one starts from zero, and you end up re-explaining the same project. I fix that with @FulcraDynamics. It's a shared context layer you own: every agent reads and writes the same memory, so one picks up exactly where the other left off. The router sees what's already done and hands off with full context. No handoff prompts, no re-briefing. You decide what each agent sees, down to a single folder, read-only. Your data is encrypted, exportable, and never sold, and the first 5 GB are free. And because every agent plugs into the same context layer, connecting a new one for handoffs takes minutes and not a custom integration. Split the work, share the context. Fewer tokens, way more done. npx skills add fulcradynamics/agent-skills
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