sapientinc/PRAXIST
Autonomous research system for measurable, computer-executable research.
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From the publisher
README & documentation
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Praxist: meet your personal R&D team 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: 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: 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.…
Read the full README ↗ · Preview checked 2026-10-29T17:43:35.609Z
Inside the original README — Document outline
- Install Praxist
- Use Praxist Through Codex
- What Praxist Provides
- Praxist And The Task Project
- Operate A Run
- Examples And Templates
- Requirements
- Documentation
- Contributing To Praxist
- FAQ
- Q1. What is Praxist?
- Q2. How is Praxist different from manual tuning or AutoML?
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What this repository does
Autonomous research system for measurable, computer-executable research.
Repository facts
- Owner
- sapientinc
- Primary language
- Python
- Stars
- 4,931
- Forks
- 637
- Open issues + pull requests
- 7
- License
- Other
- Archived
- No
- Default branch
- main
- Created
- 2026-08-27T14:20:58.000Z
- Last push
- 2026-09-23T07:00:20.000Z
Topics and intended use
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Source and freshness
Source: GitHub. Metadata observed 2026-09-26T12:04:46.747Z. Daily imports are snapshots, not real-time monitoring.
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