Memori and aius
These tools are competitors, with Memori offering a more mature and widely adopted SQL-native memory layer, while aius provides a newer, graph-RAG based approach for long-term memory in AI agents and LLMs.
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 aius
markmbain/aius
The long-term memory for your Superagents 🥷and LLMs 🤖. Built with GraphRAG, Knowledge graphs and autonomous ai agents
This is a long-term memory system for AI assistants and 'Superagents' that helps them remember and understand past interactions, their own goals, and diverse content like text, audio, and video. It allows AI to learn about individual users on the fly, process multimodal information, and build relationships with other AI and humans. Developers creating advanced AI applications would use this to give their AI systems more dynamic, human-like memory capabilities.
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