According to AlphaMoat, in the latest data month FastRecall (fastrecall.ai) received 0 monthly visits — ranked #0 of 17,424 AI websites with traffic data, and #0 of 2,225 in General AI.
What is FastRecall
FastRecall stores conversation context so it can move between models and providers instead of being locked to one of them. It is aimed at routers and multi-agent setups, and the pitch is that recalls are free while you pay only for context stored on disk, which keeps retrieval cheap and fast. The platform does not call any model APIs on the user's behalf, and it advertises model-free compaction for long contexts, so an agent can keep working past the point where a single context window would otherwise break. It is designed to sit alongside provider-side caching rather than replace it.
- 01Persistent context that moves between models and providers
- 02Recalls included rather than metered
- 03Model-free compaction for long contexts
- 04Lets the model organise its own context
- 05Works alongside provider caching
- 06A cost calculator for storage and retrieval
Plans bill the greater of a minimum or metered usage: Hobbyist starts at $2 minimum / month, Hacker at $7 minimum / month and Developer at $25 minimum / month, and recalls are included.
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Data month: — · Visit figures are third-party traffic estimates aggregated monthly — best for scale and trends. Multiple domains of the same product are merged. See methodology.