gpt-computer 0.1.1

Specify what you want it to build, the AI asks for clarification, and then builds it.

🚀 gpt-computer

Enterprise-ready autonomous code generation framework Transform natural language into executable, testable, and iteratively refined software.

---

✨ Overview

gpt-computer is an execution-native AI software generation platform designed for:

• 🏢 Enterprises exploring autonomous development
• 🔬 Research institutions studying agent systems
• 👨‍💻 Engineering teams building AI-powered workflows

Unlike prompt-only assistants, gpt-computer runs inside a deterministic closed-loop execution system.

---

🏗 Architecture

System Flow

<style> @media (prefers-color-scheme: dark) { .box { fill:#0b1220; stroke:#3b82f6; } .text { fill:#e5e7eb; } .arrow { stroke:#3b82f6; } } @media (prefers-color-scheme: light) { .box { fill:#ffffff; stroke:#2563eb; } .text { fill:#111827; } .arrow { stroke:#2563eb; } } .box { stroke-width:2; rx:16; } .text { font-family: Arial, sans-serif; font-size:14px; } .arrow { stroke-width:2; marker-end:url(#arrowhead); stroke-dasharray:6 4; animation: dash 3s linear infinite; } @keyframes dash { to { stroke-dashoffset: -20; } } </style>

---

🔁 Closed-Loop Execution Model

Intent → Plan → Generate → Execute → Analyze → Repair → Repeat

This loop enables:

• Deterministic experimentation
• Controlled iteration
• Execution-aware evaluation
• Infrastructure alignment

---

💼 Enterprise Capabilities

Capability	Description
Autonomous Prototyping	Generate internal tools rapidly
Execution-Aware Agents	Evaluate real runtime outcomes
Infrastructure Compatible	Runs in Docker, CI, on-prem
Model Agnostic	No vendor lock-in
Research Benchmarking	APPS & MBPP support

---

🚀 Quick Start

Install

python -m pip install gpt-computer

Configure API

# For OpenAI
export OPENAI_API_KEY=your_api_key

# For Anthropic
export ANTHROPIC_API_KEY=your_api_key

# For Google Gemini
export GOOGLE_API_KEY=your_api_key

# For Groq
export GROQ_API_KEY=your_api_key

# For Mistral
export MISTRAL_API_KEY=your_api_key

# For Cohere
export COHERE_API_KEY=your_api_key

Running with Local LLMs

gpt-computer supports local LLMs via any OpenAI-compatible server (Ollama, vLLM, LocalAI, etc.):

gptc my-project --model llama3 --base-url http://localhost:11434/v1

Supported Models

We support a wide range of state-of-the-art models:

• OpenAI: GPT-4o, GPT-4-turbo, GPT-3.5-turbo
• Anthropic: Claude 3.5 Sonnet, Claude 3 Opus/Haiku
• Google: Gemini 1.5 Pro/Flash
• Groq: Llama 3 (70B/8B), Mixtral 8x7B
• Mistral: Mistral Large 2, Pixtral
• Cohere: Command R+

Project Examples

Explore our built-in templates to get started quickly:

make run snake-game
make run calculator
make run personal-finance
make run unit-converter
make run password-generator

Generate a Project

gptc my-project

---

🧪 Benchmarking & Research

Includes a built-in CLI (bench) for evaluating agents against:

• APPS dataset
• MBPP dataset

---

🔐 Security & Deployment

• Local-first execution
• Docker-compatible
• No hidden background services
• Compatible with private model endpoints
• CI/CD friendly

Deploy within:

• Isolated containers
• On-prem infrastructure
• Private cloud environments
• Regulated enterprise networks

---

🧠 Strategic Vision

gpt-computer defines a foundational primitive for autonomous systems:

Intent → Generation → Execution → Evaluation → Iteration

It enables organizations to explore reproducible, execution-aware AI development workflows.

---

📜 Governance

• Open governance model
• Transparent development process
• MIT License

See GOVERNANCE.md and TERMS_OF_USE.md.

---

Autonomous software generation — controlled, reproducible, infrastructure-aligned.