Memori has unveiled its groundbreaking agent-native memory infrastructure, a significant leap forward that allows AI agents to construct structured, long-term memory directly from their operational traces. This revolutionary approach captures critical data points such as execution paths, specific tool results, intricate workflow steps, ultimate outcomes, and underlying decision-making logic. By generating memory from an agent's actual actions, Memori ensures a more accurate and comprehensive understanding of past experiences. Benchmark results are impressive, demonstrating 81.95% accuracy on LoCoMo while utilizing only 1,294 tokens per query, which is approximately 5% of the typical full-context cost, translating to over 95% savings on inference spend for users. With over 15,000 GitHub stars and more than 200,000 downloads, Memori is rapidly becoming a trusted solution in the agent community.
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Launch Team / Built with
Launch Date:
June 1, 2026