The landscape of AI agents has been dominated by large language models with billions of parameters, making sophisticated autonomous agents the exclusive domain of well-funded research labs and enterprises with substantial computational resources. But what if a compact 4-billion parameter model could challenge Claude-4.5-sonnet, outperform 30B+ open-source competitors, and run on consumer hardware? This isn't theoretical speculation—it's the reality of AgentCPM-Explore, a groundbreaking agent foundation model that OpenBMB and its academic partners released on January 12, 2026.