Why AI Agents Need Learning Infrastructure

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We gave agents tools. We gave them orchestration frameworks. We gave them RAG pipelines and vector databases. But we forgot to give them the ability to learn. The result: every session starts from zero. Your agent solves the same problems repeatedly, rediscovers the same strategies, and has no mechanism to compound what it knows over time. Session 1 and session 100 are identical cold starts. This is the missing layer in the agent stack — and it is not memory. The Status Quo: Orchestr

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