Build a multi-step code review pipeline where several Claude agents each check a different aspect of a pull request.
Create a document-writing workflow that drafts, reviews, and summarizes content using parallel Claude agents.
Set up an automated bug-fixing pipeline that diagnoses, proposes a fix, and waits for your approval before applying it.
Requires a valid Anthropic API key, experimental project with known bugs, not recommended for important files.
Claude Workflow Studio is a web-based visual tool for setting up and running multiple AI agents that collaborate on complex tasks. It is built around Anthropic's Claude Code, which is an AI assistant for software development. The studio gives you a drag-and-drop canvas where you connect agents into pipelines, and you can watch their outputs stream to the screen in real time as they work. The workflow editor supports eight types of nodes: a start point, individual agent steps, parallel execution (where multiple agents run at the same time), conditional branches (where the path changes depending on an agent's output), an approval pause that waits for a human to confirm before continuing, a merge step that collects results, a sub-workflow that nests one pipeline inside another, and an end node that summarizes results. There are 22 built-in workflow templates covering common scenarios like code review, bug fixing, documentation writing, and security auditing. A skill marketplace includes 249 pre-written instructions drawn from Anthropic's official resources and a community called ECC. The platform includes a memory system that can tag, store, and later inject relevant context into agent runs. If a workflow crashes or you pause it midway, it saves checkpoints at each node so you can resume from where it stopped. Multiple independent workspaces keep different projects separated. The tech stack is intentionally simple: a vanilla HTML and JavaScript front end, a Node.js and Express server, and WebSocket connections for live updates. Data is stored locally using a browser-compatible version of SQLite. API keys are encrypted with AES-256-GCM. The README notes this is an experimental preview made by a first-year student with limited production testing. The author advises against using it for important files and acknowledges there are likely undiscovered bugs.
← focuzhe on gitmyhub — every repo by this author, as a profile.
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