Answer Formatting

When to use

Apply these rules to EVERY answer you produce.

Rules

1. Start with a one-sentence summary (the direct answer).
2. Follow with supporting details in 2-3 bullet points.
3. If you used a tool, cite the source (URL or tool name).
4. End with a confidence indicator: HIGH / MEDIUM / LOW.

Example

Q: What is the speed of light? A: The speed of light in vacuum is approximately 299,792,458 m/s.

• This is an exact defined value in the SI system (since 1983).
• Often approximated as 3 × 10⁸ m/s.
• Source: established physics constant (no tool needed).
• Confidence: HIGH

MAS-Lab

A specification-driven foundation for building multi-agent systems that are testable, reproducible, observable, and governable from design to production.

Modern multi-agent systems are easy to prototype, but hard to trust at scale. MAS-Lab helps developers, enterprises, and researchers move from prompt-glued prototypes to engineered agentic systems — with explicit specifications, runtime contracts, reproducible experiments, and built-in observability.

• Documentation site: outshift-open.github.io/mas-lab
• Release overview: blog post

Get started

Tutorial 0 — Environment setup — install once (Docker or developer path), then:

Path	Link
Tutorials	docs/tutorials/
Web UI demo	docs/ui/index.md
Paper labs	docs/paper/index.md

Full site content mirrors docs/ — see docs/index.md for the full introduction.

The problem

Prototype demos are easy; production-grade trust is not. Prompts, tools, orchestration, and control are often interwoven, so behavior is hard to reproduce, debug, or govern. MAS-Lab separates intent, execution, observability, and governance through a shared specification and runtime model.

What MAS-Lab provides

• Declarative MAS specifications (agents, tools, workflows, contracts)
• Runtime enforcement at system boundaries
• Governance and experimentation overlays
• Observability, replay, and benchmark pipelines
• Three reproducible paper labs (Section 5)

Who it is for

• Developers — specs instead of glue code; tutorials
• Enterprises — overlays for policy, audit, and control; user guide
• Researchers — reproducible campaigns; paper labs

Packages

The headline packages:

Package	Role
mas-runtime	Agent runtime — contracts, plugins, design patterns
mas-ctl	Orchestration — chat, run-mas, validate
mas-lab	Meta-package — benchmarks, pipelines, telemetry, UI controller
mas-library-standard	Flavours, overlays, infra bundles

mas-lab is a meta-package that installs the lab components (mas-lab-core, mas-lab-bench, mas-lab-controller, mas-lab-content). Additional libraries ship alongside it (mas-library-eval, mas-library-lab, mas-library-samples).

See docs/libraries.md for the library model and docs/packages-reference.md for the complete, auto-generated package list with dependencies and extras.

Supported versions

Security fixes are applied to the latest release on the main branch.

Version	Supported
latest on main	yes
older tagged releases	best effort

Citing this work

If you use MAS-Lab in research or publications, cite the MAS-Lab article — not only this repository.

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated. For detailed contributing guidelines, please see CONTRIBUTING.md · SECURITY.md

License

Distributed under the Apache 2.0 License. See LICENSE for more information.