Agentic LLMs keep failing the same way because they lack specific, reusable capabilities. Stanford's TRACE diagnoses those gaps from an agent's own trajectories, synthesizes one verifiable training ...
This server acts as a bridge between AI assistants and Apple Numbers spreadsheets. Once configured, you can ask Claude (or any MCP-compatible AI) to: ...
We completely rewrote the Python-based MoAI-ADK (~73,000 lines) in Go.
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