Open Agent Engine
An open-source framework and workflow system that lets developer teams coordinate AI coding agents with shared rules, skills, and safe work areas across any IDE.
Creator & Lead Maintainer
Open Source
2026
Active Development
Executive Summary & Strategic Overview
An open-source multi-agent framework and workflow engine. Built as a public, community-driven project, it helps development teams set up and run specialized AI coding agents with clear roles, shared skills, and safe Git work spaces across Claude, Cursor, Windsurf, Roo Code, and Aider.
Verified Performance Metrics & Business Impact
Public & MIT Licensed
Free and open-source framework for all developers
Supported Tools
Works with Claude Code, Cursor, Windsurf, Roo, Aider, and standard AGENTS.md
Automated Tests
100% passing tests checking every feature
Context Savings
Loads only the rules you need when you need them
The Engineering Challenge
Running multiple AI agents on a software team is hard. Developers face vendor lock-in with closed, fragmented configuration formats, huge prompt files that slow down the AI, and agents overwriting each other's code when working in the same folder without open standards.
The Architectural Solution
Built a free, open-source multi-agent framework that gives the community an open standard for team roles, coding rules, and agent skills. The engine automatically adapts all agent instructions to match any AI coding tool, provides a skill system so agents only load information when needed, and creates isolated Git work areas so multiple agents can code in parallel without conflicts.
Core Technical & Architectural Highlights
Open Standard for Agent Roles
Provides a vendor-neutral, open-source format for defining agent responsibilities, permissions, and rule budgets in one central place with automated validation.
Universal Multi-Platform Adapter Engine
Translates your agent team's roles and rules into native settings for 6 popular coding tools without losing formatting or instructions.
Parallel Worktrees & On-Demand Skills
Gives each agent a temporary Git work area to write and test code safely in parallel, while loading skill runbooks on demand to save 90% of token context.
Agentic AI Pair Programming & Antigravity Acceleration
Built using multi-agent pair programming in Antigravity. Automated test-driven development helped create and verify all 136 tests across every converter, agent runner, and command in fast, verified cycles.