LLM-Powered AI Agents unlock AI’s potential to do real work across many domains. They’ve been recently gaining widespread attention across both research and real-world applications. But while there is massive exciting potential, best practices and agentic capabilities are shifting fast.

This post covers some of the existing landscape of agents, both what’s tried and true and what’s coming next. Thus, covering some of the latest developments around concepts like (1) multi-agent frameworks and (2) longer-term memory that we’re most interested in when it comes to making AI do real work.

Interesting to see the frameworks that support agent-to-agent communication, am very interested to see where the research goes