For those creating personal assistants locally - how has short/long term memory impacted your experience?
A user has developed a highly capable local AI agent named Cass, powered by Qwen 3.5 27B, which can autonomously complete tasks like app development and internet research. The key to Cass's advanced functionality is the integration of both short-term and long-term memory, making interactions feel more personal and effective than with standard LLMs. The user is exploring further enhancements, including self-reflections and event tracking, and is interested in connecting with others who are building similar agentic systems with memory capabilities. AI
IMPACT Highlights the significant impact of memory integration on AI agent utility and user experience.