Signal
New approaches to agent memory and reasoning enhance long-term AI capabilities
Recent developments in AI agent memory focus on overcoming limitations of traditional vector embeddings and improving learning from interaction history.
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- Scaling Agent Self-Evolving with Reasoning Memory (arXiv)ReasoningBank
- RAG without vectors or embeddings using Git for both storage and retrieval (Reddit) (via Reddit)RAG without vectors or embeddings using Git for both storage and retrieval (Reddit) (via Reddit)