Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

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.

Work is full of time-sucking, tedious or annoying tasks, particularly when you’re on a computer. I used to spend hours on stupid chores like reorganizing someone else’s messy spreadsheet. Now, I use ...

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