Show HN: FastRecall, ultra-cheap memory across AI models
TL;DR
Hi everyone! After working on memory at OpenAI, I built FastRecall to solve one problem: using different AI models results in clunky ad-hoc context management systems or lost context entirely. With the model layer becoming commoditized, your context should travel seamlessly across models whether you are using OpenRouter or some other model aggregator. FastRecall offers a simple API that stores your context cheaply and efficiently.
Nauti's Take
For a small AI stack, test FastRecall with a real workflow: store context, move it between two models, and verify caching, deletion, export, and access controls. The important checks are actual token costs, data retention, and whether FlashCompact preserves enough detail for important projects.
The low pricing matters only after those operational details are documented.
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