Adversarial multi-agent planning and deterministic pipeline execution for agents(github.com)
github.com
Adversarial multi-agent planning and deterministic pipeline execution for agents
https://github.com/elitecoder/forge-ai
https://github.com/elitecoder/forge-ai
How It Works
Planning — Two independent AI architects design competing solutions. Adversarial critics tear each design apart. Refiners address the critiques. A judge synthesizes the best elements into a final plan. The result: plans that have been stress-tested before a single line of code is written.
Execution — A deterministic pipeline runs your plan through configurable steps (code, build, lint, test, review, PR) with evidence-based validation at each stage. State lives on disk, not in LLM memory — every step gets a fresh agent with zero context rot.