Your AI coding agent has a memory problem and you’re paying for it in tokens. @SomaSubnet #SN114 is now integrating with GitHub Copilot to compress that bloated context before it hits the model. Same workflow, same DeepSeek V4 Pro, just 10% fewer tokens burned on every session. Think of it as a tax refund for your inference bill. For teams running agents all day, that 10% compounds fast: $1M spend becomes $100K back in your pocket. No model swap. No workflow overhaul. Just plug SOMA between your agent and Copilot and watch the token meter slow down. Payments in fiat or $TAO. Early users get $5 in credits.
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