Framer AI AgentsDesign and publish professional sites with AI
Promoted
Projects in Claude Cowork bring your tasks, files, instructions, and memory into one focused workspace on your desktop. Built for individuals and teams managing complex workflows, it keeps everything local, organized, and reusable so you can work faster with consistent context across tasks.
Claude Cowork Projects turns Claude Desktop into a structured workspace for ongoing AI tasks.
Instead of one-off chats, you can organize work into project-based environments with local folders, instructions, memory, and scheduled tasks solving the chaos of fragmented workflows.
What makes it stand out is its local-first, project-scoped approach with persistent context and memory, plus recurring task automation inside each project.
Key features include project-specific instructions, memory, scheduled tasks, and folder-based context.
Perfect for researchers, operators, and teams running repeatable workflows like reporting, analysis, or knowledge work.
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends
@rohanrecommends Yeah this is solid. You actually made it make sense without overdoing it. The local-first + project memory angle is the real hook here. That’s what makes it feel useful, not just another AI tool.
Feels like something people would actually use daily, not just test and forget.
One thing I’m curious about though. If a team is using this together, does the context stay organized or does it start getting messy after a while?
The issue I have with Cowork and also with local projects is, that my local file system is a mess. I have several versions of the same file and it's hard for anyone who is not me, to figure out which is the most current version. While in the usual online projects, I work clean and always delete and replace the most current one. It's not just file versions, but also the overall focus that's different. I still try to find a way to fit Cowork into my workflow and figuring out what the advantage is compared to online projects.
the context management is the part that matters most. i run a full business off claude code and the biggest friction is keeping project context across sessions. how does this handle large codebases?
been using cowork heavily for a while and the context-between-sessions problem is real. does this solve the 'start from scratch every morning' issue or is it more about file organisation
Honest question , how does the memory actually persist between sessions? Because that's been the #1 thing killing my workflow with AI tools. If this nails context continuity, it's a game changer for solo founders running ops + building at the same time.
MockRabit