mcp-agent's vision is that MCP is all you need to build agents, and that simple patterns are more robust than complex architectures for shipping high-quality agents.
Abstract: In this paper, we introduce a novel framework for simultaneously learning and verifying certificates for uncertain nonlinear control affine systems, utilizing robust control Lyapunov barrier ...
Production-ready test-time compute optimization framework for LLM inference. Implements Best-of-N, Sequential Revision, and Beam Search strategies. Validated with models up to 7B parameters.
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