FastRecall stores and retrieves conversation context across AI models and providers. It offers model-free compaction, low-latency recalls, and metered storage pricing for developers building routers and multi-agent systems.
In the RAG, search & retrieval space, FastRecall takes a focused approach. It focuses on keeping AI conversation context portable across models and providers without expensive or slow memory retrieval. It is built as a B2B product for AI platform developers building model routers and multi-agent systems. FastRecall is paid, starting at $7. It ships for the web and API.
It is developed by FastRecall. Key capabilities include context storage, context retrieval, and model-free compaction. It exposes integrations via a public API.
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