Latest News
- [2026-01-12]🚀🚀🚀 We have open-sourced AgentCPM-Explore, an agent foundation model with only 4B parameters, together with its entire training and inference infrastructure. AgentCPM-Explore has successfully entered 8 classic long-horizon agent benchmarks, including GAIA,HLE, and BrowserComp. AgentCPM-Explore achieves SOTA performance at the same parameter scale and demonstrates its accurate deep research capabilities, effectively breaking the performance bottleneck for on-device agents.
Overview
Key highlights of AgentCPM-Explore include:
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The first full-parameter 4B agent model to rank on 8 long-horizon and complex agent benchmarks, including GAIA, HLE, and BrowserComp, in the on-device setting.
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Capable of over 100 rounds of continuous environment interaction, supporting multi-source information cross-validation, dynamic search strategy adjustment, and real-time verification of up-to-date information, enabling sustained deep exploration until task completion.
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Fully open-sourced end-to-end, including (1) AgentRL, a fully asynchronous reinforcement learning framework for agent training, (2) AgentDock, a unified management and scheduling platform for tool sandboxes, (3) AgentToLeaP, a one-click evaluation platform for agent tool-learning capabilities. These components collectively support community collaboration and custom extensibility.
We elaborate on the entire construction pipeline of AgentCPM-Explore on GitHub.