get-physics-done
The first open-source agentic AI physicist, by Physical Superintelligence PBC (PSI).
Get Physics Done (GPD) is an open-source agentic AI physicist developed by Physical Superintelligence PBC that integrates with Claude Code, Codex, Gemini CLI, OpenCode, and GitHub Copilot CLI. It transforms physics research questions into structured workflows by guiding users through formulation, planning, execution, and verification phases while maintaining consistent notation across up to 18 physics subfields. GPD creates durable research artifacts including project plans, derivations, verification scripts, and manuscripts, treating each agent turn like reviewing a graduate student's work rather than providing an autopilot.
Key Features
Use Cases
- 01Long-horizon theoretical physics projects requiring rigorous derivations, numerical verification, and structured research memory
- 02Numerical conformal bootstrap studies with crossing-equation setup, semidefinite programming, and convergence analysis
- 03Multi-phase research leading to paper submission with integrated manuscript preparation and referee response workflows
- 04Physics research requiring dimensional consistency checks, limiting-case verification, and conservation-law validation
- 05Collaborative physics projects needing consistent notation and sign conventions across quantum field theory, general relativity, or condensed matter
- 06Literature reviews, knowledge synthesis, and comparative analysis of experimental predictions in physics domains
Related Agents
View morehermes-agent
The agent that grows with you
agency-agents
A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.
openinterpreter
A coding agent for open models like Kimi K3
cline
Autonomous coding agent as an SDK, IDE extension, or CLI assistant.
get-physics-done — FAQ
What is Get Physics Done?+
GPD is an open-source agentic AI system built by physicists for physics research. It installs physics-research commands into AI runtimes like Claude Code, Codex, or Gemini CLI to guide structured workflows from problem formulation through verification and publication.
How do I install GPD?+
Run 'npx -y get-physics-done' in your system terminal (requires Node.js 20+ and Python 3.11+), then launch your chosen AI runtime (Claude Code, Codex, Gemini CLI, OpenCode, or GitHub Copilot CLI) and run the runtime-specific help command such as /gpd:help or $gpd-help.
Which AI clients does GPD work with?+
GPD currently supports Claude Code, Codex, Gemini CLI, OpenCode, and GitHub Copilot CLI. Each runtime uses its own command prefix but the workflow is identical across all five.
Does GPD require API keys or subscriptions?+
GPD itself is free and open-source (Apache 2.0), but you need API access for the model provider used by your selected runtime. GPD does not provide model access, billing, or API credits; you must have a working authenticated runtime setup before installing GPD.
What are the prerequisites for running GPD?+
You need Node.js with npm/npx, Python 3.11+ with the venv module, network access to npm and PyPI, and one supported AI runtime already installed and authenticated. GPD requires an existing runtime; it does not install Claude Code, Codex, or other clients for you.
Is GPD suitable for autopilot research?+
No, GPD is designed as a supervised tool, not an autopilot. It treats each agent turn like a graduate student's work—you should verify and redirect as needed. Supervised mode provides frequent checkpoints matching an advisor role; graduate to Balanced mode only after you trust GPD's boundaries on your specific research.
How do I install get-physics-done?+
Open the source repository on GitHub and follow its README. get-physics-done is a agent — MCP Agents Market links you directly to the official repo.
Is get-physics-done free?+
get-physics-done is an open-source project hosted on GitHub. Check the repository for its license and any usage requirements.