Praxist is an autonomous research system for measurable, computer-executable research. It coordinates parallel research peers, task-owned evaluation, durable evidence, and generation-to-generation synthesis.

Praxist treats research as a persistent process rather than a sequence of disconnected prompts. Use it when a project already runs and its objective is measurable, but the best path forward is still unknown.

Install the complete runtime integrations and finish first-use setup with one command:

python3 -m pip install --index-url https://pypi.org/simple "praxist[agents,codex]" && praxist setup --interactive --install-skills codex

The local wizard covers the Fair Source License, User Agreement, privacy, runtime profile, masked credentials, Codex skills, writable examples, and readiness checks. It does not select a research project or launch a run. For Claude Code, use the host-specific one-line command.

For an agent-managed installation, open Codex:

codex --yolo

Then ask it to install and configure Praxist using the packaged OOBE runbook, and to stop after readiness checks.

Before starting research, read the Quickstart and Your First Task. They describe the separate takeover step and the project contract it creates.

Choose Codex-native mode to use an existing Codex subscription without an API key. For sustained research, Praxist generally favors open-source model APIs with a high observed cache-hit rate. The setup wizard also supports other API-backed profiles.

We recommend Codex as the interface for operating Praxist. Praxist is not a replacement for Codex: Codex remains the interactive agent that understands your project, communicates with you, and uses development tools. Praxist adds the persistent research loop, parallel peers, evidence protocols, scheduling, and lifecycle control.

After installation, open Codex in the root of an already runnable research project and invoke