Stashy AI vs Decubed

Stashy AI is a calm, smart place for everything you want to remember. Save a link or write a quick thought, and Stashy organizes it for you. It adds summaries, images, and context so you can recognize things instantly later. Instead of dead bookmarks, you get a living library. Clean titles, clear descriptions, helpful details, and visuals that make every saved item feel real. Collect movies and books, build wishlists, track places, compare products, or keep listings you are deciding between. Everything stays in one simple space. Fast capture. Zero friction. Beautifully organized recall. What makes Stashy different: - Save anything: links, notes, movies, books, places, products, listings - Automatic categorization with no manual sorting - Rich cards with images, descriptions, and key details - Instant context at a glance - Messy input turned into clean, curated entries - Built for collections like wishlists, research, inspiration, and watch or read lists No subscriptions. No ads. Terms Of Conditions: https://docs.google.com/document/d/e/2PACX-1vRqsmXhk7D4SdZpTp9aDC0fQEID0Eny85DJy4NjUD30AKEFRXFClOEJfmowb79ykj03cInZa7St69pm/pub Privacy Policy: https://docs.google.com/document/d/e/2PACX-1vTDch8HlZhYcFVZ_KBs3FCTxzUvhiT5HPD36MxqbXSsRDDr360xO1u1kddh2wif5nPMT877_PK9_1tU/pub

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.