Pile vs Decubed

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Decubed is the local-first AI workspace for the models, tools, memory, and agent workflows you choose. Most AI apps start with one model. Decubed starts with your environment. It gives you one place to connect model providers, work with local or remote model paths, keep durable threads, manage memories, and control which tools an agent can use. Use Decubed to: - Bring local, remote, linked-account, and custom models into one workspace. - Keep threads, folders, memory, tools, approvals, and run history attached to your environment. - Approve sensitive tool actions before they run. - Inspect tool calls, waiting states, and completed runs in the thread. - Configure agents around jobs with their own model, prompt, tools, skills, and memory policy. Decubed is designed for people who want model choice without giving up context or control. Run supported models on device when work should stay close to you, or connect hosted providers when a task needs remote capability. Bring the model. Keep the control.