Recall AI is an advanced tool designed to revolutionize how you capture and recall your digital activities. By using state-of-the-art artificial intelligence, it transforms your computer usage into a searchable memory, giving you quick access to past files, emails, websites, and more. This product aims to enhance productivity and reduce time wasted in searching for information. With a simple setup process, it integrates seamlessly into your daily workflow, ensuring you never lose track of important digital interactions again.

AgenticIR (Agentic Information Retrieval) provides a modular framework where LLM-powered agents autonomously plan and execute IR workflows. It enables the definition of agent roles — such as query generator, document retriever, and summarizer — running in customizable sequences. Agents can fetch raw text, refine queries based on intermediate results, and merge extracted passages into concise summaries. The framework supports multi-step pipelines including iterative web search, API-based data ingestion, and local document parsing. Developers can adjust agent parameters, plug in different LLMs, and fine-tune behavior policies. AgenticIR also offers logging, error handling, and parallel agent execution to accelerate large-scale information gathering. With a minimal code setup, researchers and engineers can prototype and deploy autonomous retrieval systems.