PRAXIST is an autonomous research system for measurable, computer-executable problems. It turns an already runnable project into a persistent research process instead of a series of disconnected prompts. Parallel research peers explore competing hypotheses and implementations while evaluators convert outcomes into structured evidence. That evidence is carried across generations so later work can build on promising strategies and avoid repeating weak ones. The system supports multi-metric evaluation, quality-diversity methods, resource-aware scheduling, and durable evidence tracking. Runs can be monitored, stopped, resumed, and replayed, with the task project remaining the source of truth for objectives, metrics, baselines, and domain constraints.
Features
- Parallel research peers
- Multi-generation evidence synthesis
- Durable evidence lanes
- Multi-metric and Pareto evaluation
- Quality-Diversity and optional Deep Innovation Gate
- Resource-aware scheduling with resume and replay