Large Language Models (LLMs) are undeniably impressive, allowing users to engage in fluid conversations by simply prompting them. However, a significant flaw lurks beneath this engaging interface: they forget instantly.
Each interaction acts as a complete reset, making consistency and memory challenging—especially for long-term tasks. This poses a problem when you need an AI to function beyond just trivia or brainstorming.
Imagine an AI agent that:
- Understands its mission
- Keeps track of learned information
- Passes memory between tools or teammates
- Remembers past discussions, saying things like, “Based on what we discussed yesterday…”
Achieving this level of interaction requires more than chat capabilities; it demands a structured protocol. For those interested in the future of AI and its capabilities, the evolution of memory in language models is a fascinating area to explore.
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