MOSAICO
A Horizon Europe-funded research project developing a collaborative platform and AI-agent community framework to orchestrate multiple AI agents across the software development lifecycle.
At a Glance
About MOSAICO
MOSAICO (Management, Orchestration and Supervision of AI-agent Communities for reliable AI in software engineering) is an ambitious European research and innovation project funded by the Horizon Europe program under Grant Agreement No 101189664. It brings together a consortium of 12 partners from 9 countries to build a platform that enables communities of AI agents to collaborate with human developers across the full software development lifecycle. The project is currently active, with news posts dated into 2026 and software hosted on the Eclipse Foundation's GitLab.
What It Is
MOSAICO is a research-grade multi-agent orchestration platform targeting software engineering. Rather than a single AI coding assistant, it defines a framework for coordinating communities of specialized AI agents — each handling a distinct SE task such as requirements analysis, design generation, code generation, testing, or deployment — and enabling those agents to communicate, collaborate, and be governed through a dedicated protocol and governance engine. The platform is being developed as open-source software hosted at the Eclipse Foundation.
Architecture and Work Packages
The project is structured around nine Work Packages (WPs) that map directly to platform components:
- WP1 – AI-agent server protocol: Designing a flexible, extensible communication protocol for AI agents, led by the University of York.
- WP2 – Repository of AI agents for SE: A curated, searchable repository of pre-trained agents with recommendation capabilities, led by Università degli Studi dell'Aquila.
- WP3 – Coordination and Collaboration: A BDI-based framework and coordination language for orchestrating multi-agent communities, led by Institut Mines-Télécom Atlantique.
- WP4 – Governance and Supervision: A governance language and decision engine for enacting policies in collaborative/competitive agent discussions, led by Luxembourg Institute of Science and Technology (LIST).
- WP5 – Use Cases, Integration, Validation: Real-world validation across four sectors, led by Netcompany-Intrasoft.
Real-World Validation Sectors
The platform is being validated against four distinct industry use cases:
- Immersive technologies (XR/Mixed Reality): Generating energy-efficient 3D content for mixed reality devices, provided by Immersion (IMM).
- Banking: Extending a personalised investment recommendation system, provided by the National Bank of Greece.
- Aerospace: Developing assurance artefacts and Remaining Useful Life (RUL) analysis using LLM-based agents, provided by Collins Aerospace's Advanced Laboratory on Embedded Systems.
- IoT: Improving software reusability within the IoT-Catalogue platform, provided by Unparallel Innovation.
Consortium and Open-Source Deployment
The 12-partner consortium spans research centres (IMT, LIST), universities (University of York, Università degli Studi dell'Aquila), and industry partners including Qodo (AI code testing tools), Eclipse Foundation Europe, Netcompany-Intrasoft, and F6S Network. The project explicitly commits to open-sourcing the platform through the Eclipse Foundation to ensure long-term community adoption. Software is already available on the Eclipse Foundation's GitLab repository.
Current Status
The project is actively running, with news coverage extending to April 2026, including participation at OCX 2026 and the Digital Transformation Summit. The software repository is live on GitLab under the Eclipse Research Labs organization. Instructions for trying MOSAICO are published on the project website, indicating the platform has reached a stage where external users can begin experimenting with it.
Community Discussions
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Pricing
Open Source
Freely available open-source platform hosted on Eclipse Foundation GitLab under the MOSAICO project.
- AI-agent server protocol
- Repository of AI agents for SE
- Multi-agent coordination framework
- Governance and supervision engine
- Community support via Eclipse Foundation
Capabilities
Key Features
- AI-agent server communication protocol
- Repository of pre-trained AI agents for software engineering
- BDI-based multi-agent coordination framework
- Governance language and decision engine for agent communities
- Quality-of-Service KPI-driven agent management
- Support for requirements analysis, design, code generation, testing, and deployment agents
- Human-AI collaboration interfaces
- Open-source platform hosted on Eclipse Foundation GitLab
- Validation across immersive tech, banking, aerospace, and IoT use cases
- Agent benchmarking and evaluation capabilities
