A new paradigm for software development.
AgentLoop is the runtime layer for autonomous engineering. A team of specialized agents — planner, analyzer, implementer, validator — collaborate to analyze, implement, and test your code, with human oversight as a first-class primitive.
How AgentLoop compares.
See how autonomous multi-agent orchestration stacks up against traditional approaches — single-agent assistants and manual development.
| Feature | AgentLoop | Single AI Agent | Manual Development |
|---|---|---|---|
| Multi-Agent Collaboration | |||
| Autonomous Task Execution | Partial | ||
| Kanban Workflow Management | Manual | ||
| Automated Testing & QA | Limited | Manual | |
| Cost Transparency & Tracking | N/A | ||
| Local-First Data Privacy | Varies | ||
| Specialized Agent Roles | Human | ||
| 24/7 Development Capability | |||
| Human Oversight & Control |
What could you do with AgentLoop?
Four specialized agents, each with a focused remit, working concurrently against the same plan graph.
Product Manager Agent
- →Breaks down epics into actionable user stories
- →Creates sprint plans with priorities and dependencies
- →Populates Kanban board with structured workflow
Code Analyzer Agent
- →Performs security analysis and vulnerability scanning
- →Generates architecture documentation and diagrams
- →Researches best practices and design patterns
Implementation Agent
- →Implements features with production-ready code
- →Fixes bugs and handles edge cases comprehensively
- →Refactors code following best practices
QA Testing Agent
- →Creates automated unit and integration tests
- →Runs Playwright tests for end-to-end validation
- →Performs regression testing and quality assurance
How it works.
A streamlined workflow from task creation to validation. Four phases, fully auditable, with human oversight available at every step.
Task Creation & Planning
The Product Manager agent breaks down your epics into structured tasks, stores them in a local SQLite database, and organizes them into sprints with clear acceptance criteria.
Intelligent Task Scheduling
The orchestrator analyzes task dependencies, assigns work to specialized agents, and manages the workflow through Kanban stages: Backlog → Ready → In Progress → Review → Done.
Agent Execution with Monitoring
Agents execute tasks using Claude Code, with every API call tracked for cost transparency. Progress updates and code changes are logged in real-time.
Validation & Human Review
The QA agent validates implementations with automated tests. You maintain full control with the ability to intervene, provide feedback, or adjust priorities at any time.
Built for serious teams.
Six capabilities — engineered together — that make autonomous development operable rather than experimental.
Kanban Workflow
Structured task management with visual tracking through Backlog, Ready, In Progress, Review, and Done stages.
Cost Transparency
Real-time tracking of API costs per task, agent, and sprint with detailed analytics and budget controls.
Local-First Database
Embedded database runs entirely on your machine — full data ownership and complete privacy.
MCP Integration
Built on Model Context Protocol for seamless tool integration, code analysis, and file operations.
Two Operating Modes
Interactive mode for human oversight or autonomous mode for fully automated execution.
CLI-First Interface
Powerful command-line interface for developers who prefer terminal workflows and automation.