
Automate and monitor complex AI workflows within Claude Code sessions.
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Key facts
- Defines and executes structured workflows for Claude Code AI sessions.
- Provides real-time monitoring and control over AI development stages.
- Enables portability and custom template creation for repeatable AI tasks.
Pros
- Ensures structured and predictable AI development workflows
- Provides clear visibility into AI session progress and outputs
- Facilitates collaboration with shareable live session URLs
- Allows for easy resumption of work from any location
- Empowers users to create and share custom, repeatable AI templates
Cons
- Requires familiarity with Claude Code and plugin installation
- Primarily focused on Claude Code, limiting applicability to other AI platforms
- Initial setup and workflow definition might have a learning curve
What is Stagent?
Available on: Web
Key Features
- State machine for Claude Code sessions
- Workflow definition via workflow.json contract
- Browser-based live session viewer with SSE streaming
- Real-time display of stage changes, artifacts, and working-tree diffs
- Session portability and continuation across different machines
- Natural language template creation for custom workflows
- Pre-built workflow templates (e.g., plan → execute → verify → review → QA)
- Hooks for controlling session exit based on artifact existence and validity
Pricing
Stagent is completely free to use with no hidden costs.
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Stagent FAQ
How does Stagent ensure Claude Code sessions don't skip steps or stall?
workflow.json contract to define explicit stages, gates, and artifacts. Every phase generates a report with an epoch and a result. The 'stop' hook specifically blocks session exit until the current stage's artifact exists with a matching epoch and a valid result, preventing silent failures or premature advancement.Can I share a live Stagent session with a teammate for monitoring?
What happens if a workflow stage fails, for example, during the 'reviewing' phase?
workflow.json (e.g., 'FAIL' during 'reviewing'), Stagent can be configured to transition the workflow back to an earlier stage, such as 'executing'. This allows for iterative refinement and ensures the AI agent addresses issues before proceeding, maintaining the defined contract.How does Stagent handle session state when switching between different machines?
/stagent:continue --session <id> on a different machine. The plugin will then hydrate the shadow state, verify the repository root commit, and allow you to seamlessly pick up the session where you left off.Source: stagent.worldstatelabs.com