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TL;DR - Stagent
- 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.
Pricing: Free forever
Best for: Individuals & startups
Pros & Cons
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
Key Features
State machine for Claude Code sessionsWorkflow definition via workflow.json contractBrowser-based live session viewer with SSE streamingReal-time display of stage changes, artifacts, and working-tree diffsSession portability and continuation across different machinesNatural language template creation for custom workflowsPre-built workflow templates (e.g., plan → execute → verify → review → QA)Hooks for controlling session exit based on artifact existence and validity
Pricing
Free
Stagent is completely free to use with no hidden costs.
What is Stagent?
Stagent is a plugin for Claude Code that enables users to define and execute structured workflows for AI development. It acts as a state machine, guiding Claude through a series of stages, gates, and artifact generations, ensuring that AI tasks are completed systematically and predictably. This prevents Claude from skipping steps or silently stalling, providing a robust framework for managing AI projects from planning to QA.
The tool is designed for developers and teams working with Claude Code who need more control, visibility, and reproducibility over their AI development processes. It allows users to define custom workflows using a `workflow.json` contract, which dictates the stages, transitions, and expected artifacts. Stagent also offers a browser-based viewer for real-time monitoring of session progress, including stage changes, generated artifacts, and code diffs, making collaboration and oversight straightforward. Its portability feature allows sessions to be resumed from any machine, ensuring continuity in development.
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Stagent FAQ
How does Stagent ensure Claude Code sessions don't skip steps or stall?
Stagent uses a
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?
Yes, Stagent provides a browser-side viewer that streams stage changes, artifacts, and the working-tree diff over Server-Sent Events (SSE). You can share the unique URL of your live session with teammates, allowing them to monitor the progress in real-time without polling or refreshing.
What happens if a workflow stage fails, for example, during the 'reviewing' phase?
If a stage fails, as defined in your
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 stores session state on the server, not locally on your machine. This means you can run
/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