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. In fact, we are so cheap that recalls are entirely free, with generous plans starting at only $2/month!
If you use the same model again, FastRecall respects provider caching to save you inference costs. We also have SOTA model-free compaction of context with FlashCompact, in case you don't need full-fidelity context.
Hopefully this is useful for some of your projects. Let me know what you think!
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. In fact, we are so cheap that recalls are entirely free, with generous plans starting at only $2/month!
If you use the same model again, FastRecall respects provider caching to save you inference costs. We also have SOTA model-free compaction of context with FlashCompact, in case you don't need full-fidelity context.
Hopefully this is useful for some of your projects. Let me know what you think!