NEWS · CODING · #569
Anthropic revamps Claude Code Projects with parallel agent threads and shared memory
Anthropic rebuilt the Projects feature in Claude Code so users describe a goal and a coordinator splits the work across parallel "threads," each running as its own cloud session; threads can track progress, open pull requests, run tests, and contribute to a growing shared memory and central file library. The beta is available to select Pro and Max subscribers using cloud sessions, with Team/Enterprise access and local execution planned for later.
KEY POINTS
- Anthropic rebuilt the Projects feature in Claude Code so users describe a goal and a coordinator splits the work across parallel "threads," each running as its own cloud session; threads can track progress, open pull requests, run tests, and contribute to a growing shared memory and central file library.
- The beta is available to select Pro and Max subscribers using cloud sessions, with Team/Enterprise access and local execution planned for later.
- This moves Claude Code further toward autonomous multi-agent code automation with shared state, affecting developer productivity and potentially increasing token usage and vendor control over execution.
WHY IT MATTERS
This moves Claude Code further toward autonomous multi-agent code automation with shared state, affecting developer productivity and potentially increasing token usage and vendor control over execution.
SOURCES & TIMELINE
2Anthropic has rebuilt the Projects feature in Claude Code. Users now describe a goal and a coordinator splits the work across parallel "threads," each running as its own cloud session. Progress is trackable in the main chat or per thread, including on mobile. Each thread can open pull requests and run tests. Claude builds a shared memory across threads over time, and a library collects all uploaded files and results.…
Projects allow users to control a team of Claude Code agents that all coordinate with each other. The revamped projects feature in Claude Code allows users to run multiple agents under the same roof, with a shared memory, goals, and library of files and artifacts. Similar to Grok Bot and other tools that manage groups of AI agents, each project has “threads” running different tasks in parallel, with a “coordinator”…