Iranti is an open-source agentic framework designed to manage, coordinate, and track the working memory and fact collections of autonomous AI agents. It helps developers and AI teams build, orchestrate, and evaluate memory systems for LLM-powered agents, providing advanced features such as fact archival, context grounding, and deterministic memory recall to ensure robust agent reasoning and traceability. Iranti is ideal for AI system builders and researchers who need structured agent memory, rules, and recall within autonomous or semi-autonomous agent workflows.
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