Built for AI Agents
Agent workflow engine for AI agents
Define multi-step workflows with validation at every step. Your AI agent executes consistently, every time.
Think of it as CI/CD for AI agent tasks.
The Problem
What happens without structured workflows
Lost Context
Long prompts that the agent forgets halfway through. Complex tasks break into pieces that never reconnect.
No Result Validation
Agent says "done" but the code doesn't compile. No schema checks, no proof of completion.
Hallucinated Results
Agent invents files, functions, and test results that don't exist. Confident but wrong.
80% Done, 20% Forgotten
Tests skipped. Documentation missing. Error handling ignored. The last mile never gets finished.
Re-explaining Every Time
Same process, different session. You explain the workflow from scratch because nothing persists.
No Execution Control
Agent skips steps, jumps ahead, takes shortcuts. No way to enforce a specific execution order.
How It Works
Three steps to structured execution
Connect
Add Moira as an MCP server to your AI agent. One config line in Claude Code, Cursor, or any MCP client.
Start a Workflow
Choose a workflow β built-in or custom. The engine loads the execution graph and begins step-by-step processing.
Agent Executes
Each step has a clear directive and completion criteria. The agent works through the graph β validated, structured, complete.
What You Get
Built for Real Development Workflows
Agent Does the Work
From planning to self-review. Define the task β get a working result. The workflow guides the agent through every phase: requirements β plan β implementation β tests β quality β review.
Hallucination Protection
JSON Schema validation at every step. The agent cannot skip ahead β each response must match the expected structure. Completion conditions define what "done" actually means.
Enforced Code Quality
Mandatory code quality checks and agent self-validation. Bounded fix loops β if quality doesn't meet standards, the agent retries (up to 3 attempts), then escalates to you.
Automated Test Validation
Test execution, failure analysis, and fix strategies β all inside the workflow. The agent doesn't just write code β it verifies that the code works.
Docs and Tests Stay Current
If your project has documentation and tests, the workflow includes their updates. The completion phase updates docs and generates a final report.
Branch Isolation Built In
Git workflow is part of the process β commits, PR creation, branch management. Everything is isolated from master until reviewed and approved.
Telegram When You're Needed
You don't sit in front of a screen. When the workflow needs your input β approve a plan, review code, resolve an issue β you get a Telegram notification.
Production Workflows
Ready-Made Development Workflows
Battle-tested workflows that cover the full software development lifecycle. Start using them today or customize to your needs.
Complete development workflow for features and complex tasks. Covers the entire lifecycle from requirements to deployment.
Quick Start
Start in 3 Steps
Connect MCP Server
Add Moira as an MCP server in your AI client. One URL, OAuth authentication.
# Claude Code (CLI)
claude mcp add moira https://moira.witqq.ru/mcp
# Cursor / VS Code (settings.json)
{
"mcpServers": {
"moira": {
"url": "https://moira.witqq.ru/mcp"
}
}
}Start a Workflow
Tell your AI agent to start any workflow. Moira handles the rest.
# In any MCP-compatible AI client:
> Start the software development workflow
for issue #42
# Agent calls:
mcp__moira__start({
workflowId: "moira/software-development-flow",
parentExecutionId: "none"
})Follow the Workflow
Agent receives step-by-step directives with success criteria. Each step validated before proceeding.
# Moira returns:
{
"directive": "Implement the feature
according to the approved plan",
"completionCondition": "All tests pass,
code follows project patterns",
"inputSchema": { ... }
}
# Agent works β submits result
mcp__moira__step({
processId: "abc-123",
input: { ... }
})Extensible
Build Your Own Workflows
Ready-made workflows are the starting point. Create custom workflows for your team's specific processes.
Visual Web Editor
Create and edit workflows through the web interface. Node-graph editor with real-time validation.
JSON-first Design
Workflows are JSON files. Version control, code review, CI/CD β standard developer workflow applies.
Template Variables
Use {{variable}} syntax in directives and conditions. Context flows between steps automatically.
Schema Validation
JSON Schema on every step input/output. Agent responses validated before workflow proceeds.
Real-world Applications
What Developers Build
Automated Feature Development
Full cycle: issue analysis β planning β implementation β testing β code review β commit. With quality gates at each phase.
Structured Code Review
Automated review with BLOCKING/MAJOR/MINOR classification. Consistent criteria across all PRs, no reviewer fatigue.
Bug Fixing with Root Cause Analysis
Reproduce β diagnose root cause β implement fix β verify no regression. Prevents band-aid fixes.
Documentation Generation
Extract API docs from code, generate guides from usage patterns, keep docs in sync with implementation.
Research with Iterative Improvement
Source verification, cross-referencing, quality scoring. Multiple iterations until research meets quality threshold.
Ready to Build?
Stop micromanaging your AI agent. Define the workflow once, execute it consistently every time.
What Developers Say
Built by developers, for developers
"Moira turned our chaotic prompt engineering into repeatable workflows. Code review consistency went from random to reliable."
Alex K.
Senior Backend Engineer
"The JSON-first approach means I can version control my workflows. Schema validation catches agent mistakes before they reach production."
Sarah M.
DevOps Lead
"Three steps to get started, and it actually works. No sign-up wall, no sales call. Just MCP connect and go."
Chen W.
Full Stack Developer