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Tags: Agent memory
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1–11 of 11 · Most stars

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.

TranslatedNot a Q&A bot, but a digital twin that can actually get work done. Agents and project context are shared, so all project members can work together. At the same time, agents, like people, abstract and summarize experience from materials or work into the project context.

TranslatedA local memory layer for DeepSeek Harness: those who are raising a "big fat fish" can download it to play with. After testing, once downloaded it feels more human and more natural than using RAG or an external memory store alone.