Memori and Awesome-Agent-Memory
About Memori
MemoriLabs/Memori
SQL Native Memory Layer for LLMs, AI Agents & Multi-Agent Systems
This tool helps developers give their AI agents and large language models (LLMs) the ability to remember past interactions and learn from what they do, not just what they say. It takes conversations and actions from your agents and uses them to provide relevant context for future interactions. This is for developers building AI agents, multi-agent systems, or applications that use LLMs, who want their AI to have persistent, long-term memory.
About Awesome-Agent-Memory
TeleAI-UAGI/Awesome-Agent-Memory
Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.
This project offers a comprehensive collection of resources on memory mechanisms for large language models (LLMs) and multimodal language models (MLLMs). It helps AI developers and researchers understand and implement solutions for long-term context, efficient retrieval, and robust reasoning in AI agents. You can explore systems, benchmarks, and academic papers to find effective approaches for improving AI memory.
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