AI Tools / AI products & services
Praxist is an autonomous research system by Sapient Intelligence for computer-executable projects with measurable objectives. It turns an existing runnable project into a persistent research run: parallel research agents develop competing implementations or hypotheses, a task-defined evaluator converts their results into structured evidence, and a planning panel uses that evidence to set the agenda for later generations. Successful candidates and supporting evidence can move through incubator, frontier, and Gems retention lanes, while multi-metric evaluation, optional Quality-Diversity and Deep Innovation Gate allocation, resource scheduling, replay, and monitoring support longer runs. The task project remains responsible for its code, evaluator, metrics, baselines, prompts, roles, data, and domain constraints. Praxist can be installed as a Python package and operated through Codex, Claude Code, or its direct CLI; it requires CPython 3.11+ and a runnable project with measurable evaluation. The source is publicly available under the Fair Source License Agreement 1.0, with commercial terms described in the repository's license summary.
Runs competing agents against runnable code and a target metric to explore multiple approaches in parallel, carrying successful results into later generations and preserving failed approaches as evidence.