The world is full of uncertainty — markets shift, systems fail, agents behave unpredictably.

Autobox builds the bridge between certainty and uncertainty so teams can explore, test, and learn before acting.

We:

• 🌐 Shrink the Unknown Intelligently – Run scalable simulations to reveal hidden dynamics and edge cases.
• 🧠 Turn Uncertainty into Structured Insight – Transform scenarios into actionable knowledge you can measure and trust.
• 🌉 Bridge Known & Unknown – Push systems beyond expected conditions to see how they adapt, fail, or thrive.
• 🔗 Connect Simulations to Real Context – Enrich scenarios with live data, historical events, and dynamic inputs for grounded experimentation.

We make it easy to:

• 🧩 Model Complex Systems – Encode environments, rules, and agents into interactive scenarios.
• 🔍 Explore the Unknown – Test scenarios across a spectrum of certainty and risk.
• 📊 Surface Insights – Observe emergent behavior, discover edge cases, and stress-test strategies.

Autobox gives researchers, engineers, and decision-makers a safe space to experiment — turning uncertainty into clarity before reality does.

Autobox is an open-source initiative crafting the infrastructure layer for multi-agent intelligence. We build the tools and frameworks that let AI agents collaborate, negotiate, and solve complex problems inside scalable simulations — a sandbox for the future of autonomous systems.

Our mission is to accelerate research and engineering of agent-based AI by providing production-grade orchestration, monitoring, and developer tooling.

We design modular infrastructure that makes autonomous multi-agent systems practical and scalable: 🔗 Agent Orchestration – A robust, distributed message-passing architecture for routing tasks, context, and memory between agents and orchestrators. 🧪 Simulation Management – End-to-end workflows for designing, running, and monitoring simulations with configurable scenarios. 📊 Real-Time Analysis – Tracing, metrics, and dashboards for observing agent reasoning, decision-making, and emergent behaviors. ⚡ Developer Experience – APIs, SDKs, and UIs built with TypeScript, Python, Golang and modern web tooling for seamless integration and rapid prototyping.

We create production-ready infrastructure for multi-agent AI systems, focusing on:

• Agent Orchestration: Robust message-passing architecture for coordinating specialized AI agents through distributed queues
• Simulation Management: Full-stack platform for designing, running, and monitoring complex multi-agent scenarios
• Real-time Analysis: Comprehensive tracing, metrics, and visualization of agent behaviors and decision-making processes
• Developer Experience: Modern tooling with TypeScript/Node.js APIs, React frontends, and Python utilities for rapid prototyping

Autobox is structured as a collection of specialized repositories that plug into a unified ecosystem:

• autobox-api: High-performance backend orchestrating agent lifecycles and inter-agent communication
• autobox-ui: Intuitive web interface for simulation management and real-time monitoring
• autobox-mocks: Synthetic data generation for testing and development workflows
• autobox-mocks-api: Serverless mock endpoints for frontend development and integration testing
• autobox-engine: Multi-agent AI simulation engine to orchestrate and manage complex multi-agent scenarios in isolation

Autobox provides a platform for experimentation and deployment across research, product, strategy and decision-making processes:

🤝 Collaborative Problem-Solving – Orchestrating teams of specialized AI agents. 🗳 Negotiation & Consensus – Simulating multi-stakeholder decision-making. 🧭 Scenario Planning – Exploring strategies in business, policy, or security contexts. 🔬 Emergent Behavior Research – Studying collective dynamics in complex systems. ⚙️ Developer Sandboxes – Prototyping and testing multi-agent workflows before production.

📖 The Next Layer of Intelligence (Part 1) 🎨 Autobox UI 🧠 Autobox Engine ⚡ Autobox Mocks API ▶️ Demo I 🌐 Demo II (Live UI)

💡 Autobox is building the next laboratory for AI-driven simulations.

🤝 Join us as we explore how multi-agent intelligence evolves when given the right infrastructure.