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FastRecall
Context across AI models. Cheap and lightning fast.
1 follower
Context across AI models. Cheap and lightning fast.
1 follower
Nobody wants to be locked into a single AI model. With routers and multi-agent systems becoming essential infrastructure, your context should move seamlessly between models and providers. Existing memory solutions are overcomplicated, slow, and expensive. FastRecall starts at just $2/month, with a free sandbox available for one week. Try it out today!
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.
Try it today, and let me know what you think!