AI Engineering Teams.
Not Coding Agents.
agyn models software development as a coordinated organization, where specialized agents research, implement, review, and ship through GitHub workflows.
How it works
01
Every agent in its own container.
Full parallelism. Zero shared state. Each agent runs in its own isolated sandbox — separate filesystem, separate network, separate secrets.
02
Build your entire org.
Define departments, roles, and communication rules. Mix Claude, GPT, and open-source models — agent by agent. Each member gets its own instructions, skills, and tools.
03
Work that never stops.
Agents self-schedule reminders, summarize context automatically, and build long-term memory. They run for hours without losing track — and wake themselves up when it's time to act.
04
Agents as code.
Define every agent, MCP tool, and team structure in HCL. Version-control and redeploy your whole org. Treat your AI team like infrastructure — reproducible, reviewable, and rollback-able.
Batteries included
Fully Open Source
Deploy inside your own infrastructure. Own the code, data, and execution.
GitHub-Native
Agents operate directly in your repos — cloning branches and opening PRs.
Tracing & Auditability
Every decision, tool call, and token is logged. No black boxes.
Task Visibility
Track task state across the agent team — planned, running, or complete.