2 points | by rmrmrm an hour ago
1 comments
Built a visual demo where multi-agent AI workflows are expressed as algebraic equations.
Four operators: → chain (serial) + parallel (aggregate) ÷ filter (constrain) ² iterate (refine)
So instead of 50 lines of orchestration code, you write:
((R + A) → W)² ÷ C → E
The equation is the program. A runtime solves it. You watch intelligence flow through the topology.
Not a framework—a notation. Curious what HN thinks about treating agent composition as algebra rather than software engineering.
Attempt to a white paper: agentic-algebra.pages.dev
Mini demo (bigger one in exploration): https://github.com/moldandyeast/agentic-algebra
Built a visual demo where multi-agent AI workflows are expressed as algebraic equations.
Four operators: → chain (serial) + parallel (aggregate) ÷ filter (constrain) ² iterate (refine)
So instead of 50 lines of orchestration code, you write:
Research + Analyze in parallel, synthesize, write, refine twice, critique, summarize.The equation is the program. A runtime solves it. You watch intelligence flow through the topology.
Not a framework—a notation. Curious what HN thinks about treating agent composition as algebra rather than software engineering.
Attempt to a white paper: agentic-algebra.pages.dev
Mini demo (bigger one in exploration): https://github.com/moldandyeast/agentic-algebra