PRAXIST

If you have ever tried using LLMs for iterative software research, you know the frustration of stateless prompt sessions that forget previous attempts. Praxist addresses this head-on. Designed as an autonomous research system for measurable, computer-executable research, Praxist treats R&D as a persistent, continuous process rather than a sequence of stateless chat prompts. ### Architecture and Core Execution Model Praxist does not replace interactive developer agents like Codex; instead, it acts as the orchestrator running alongside them. While Codex handles direct user communication, environment manipulation, and developer tool interaction, Praxist provides the persistence, scheduling, evidence protocols, and lifecycle management required for sustained research. Under the hood, Praxist coordinates parallel research peers. When a software project has a clear, measurable objective but an unknown implementation path, Praxist spawns parallel runs to explore different approaches simultaneously. Key architectural pillars include: * **Task-Owned Evaluation:** Metrics and checks are owned by the specific tasks to verify actual progress. * **Durable Evidence:** Artifacts and test outputs are recorded persistently rather than discarded between execution steps. * **Generation-to-Generation Synthesis:** Insights and results from prior iterations directly inform subsequent research phases. ### Getting Started and Installation You can install Praxist’s complete runtime integrations and execute first-use setup with a single pip command: ```bash python3 -m pip install --index-url https://pypi.org/simple "praxist[agents,codex]" && praxist setup --interactive --install-skills codex ``` This triggers an interactive local setup wizard that steps through: * Fair Source License and User Agreement verification. * Privacy settings, runtime profiles, and masked credential management. * Codex skill integration and writable example setup. * Final environment readiness checks. Crucially, the initial wizard only verifies system readiness—it does not select a project or trigger an active research run. Alternatively, if you prefer an agent-managed workflow, you can open Codex directly in unprompted execution mode: ```bash codex --yolo ``` From there, you can instruct Codex to execute Praxist's packaged Out-Of-Box Experience (OOBE) runbook, which automates installation and halts automatically once readiness checks pass. ### Runtime Profiles and Execution Modes Praxist offers multiple operational profiles depending on your infrastructure constraints: 1. **Codex-native mode:** Allows you to hook into an active Codex subscription directly without configuring external API keys. 2. **Open-source model APIs:** Recommended for sustained long-term research tasks where high observed cache-hit rates keep compute overhead manageable. 3. **API-backed profiles:** Configurable during interactive setup for custom endpoints. If you have an executable project with verifiable evaluation metrics, Praxist turns your existing agent setup into a structured, evidence-backed research engine. --- ### Recommended Engineering Tools If you're building modern applications, we highly recommend checking out **[Vercel](https://vercel.com/?aff=placeholder)** and **[Clerk](https://clerk.dev/?aff=placeholder)** to accelerate your development workflow.