Memori has unveiled its groundbreaking agent-native memory infrastructure, specifically designed to empower AI agents to construct structured, long-term memory directly from their operational traces. This innovative approach captures intricate details such as execution paths, tool results, specific workflow steps, ultimate outcomes, and the underlying decision-making logic. It ensures that an agent's memory is genuinely generated from what it actually does, leading to more relevant and accurate recall. Benchmark results are impressive, showing 81.95% accuracy on LoCoMo using only 1,294 tokens per query, representing roughly 5% of a full-context cost and saving users over 95% on inference spend. With 15,000 GitHub stars and more than 200,000 downloads, Memori is rapidly becoming a standard for efficient agent memory.
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Launch Date:
June 1, 2026
Product Info