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Latest from AgentFlow
View all →World Foundation Models Explained: How AI Learns to Simulate Reality
World foundation models (WFMs) learn a physics-aware, controllable simulation of an environment — not passive video, but worlds you can act inside. Here is what a WFM actually is, how it differs from an LLM, how the architectures work, the 2026 landscape (NVIDIA Cosmos 3, DeepMind Genie 3, World Labs Marble), and how builders can start using them today.
ECC
An open-source operator layer that sits on top of coding agents — 249 skills, 63 agents, hooks, memory persistence, and AgentShield security that teach Claude Code, Codex, Cursor, and OpenCode your patterns. The 206K-star flagship of a new product category: the harness above the harness.
Direct Corpus Interaction: Why Your AI Agents Need a Terminal, Not Just a Vector Database
Direct Corpus Interaction (DCI) throws away the vector database and hands the agent a terminal — grep, find, sed over the raw documents. No embeddings, no index, no top-k cutoff. Here is how it works, why Claude Code already proved it, where it beats vector RAG, and why the honest answer is hybrid.
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