Memori

Memori is an innovative AI tool designed to enhance persistent memory for agents by leveraging trace data rather than just conversational context. Its new agent-native memory infrastructure captures detailed execution paths, tool results, workflow steps, outcomes, and decision-making logic, enabling AI agents to retain and utilize structured, long-term memory. This approach allows agents to remember past interactions more accurately and contextually, leading to more coherent and intelligent decision-making over time. With impressive benchmark results—achieving 81.95% accuracy on LoCoMo with only 1,294 tokens per query—Memori offers a highly cost-effective solution, reducing inference costs by over 95%. Its open-source roots and active community, evidenced by 15K GitHub stars and over 200,000 downloads, make it an attractive choice for developers seeking to build smarter, more persistent AI agents.