ROMA - Open Source Meta-Agent Framework for Automatic Decomposition of Complex Tasks for Parallel Processing

What is ROMA?

ROMA (Recursive-Open-Meta-Agent) is an open source meta-agent framework developed by Sentient AGI to efficiently solve complex problems through recursive task decomposition and parallel processing. Support for Python 3.12 +, Docker and Web platforms , using the MIT open source license , easy for developers to freely use and improve . ROMA's hierarchical task decomposition capabilities , can be decomposed into complex tasks can be processed in parallel sub-tasks , significantly improving processing efficiency . A transparent development environment is provided for debugging and iteration, and developers can easily track the flow of context.ROMA's modular design allows for the insertion of any agent, model, or tool at the node level, including LLM-based agents and human intervention checkpoints.ROMA provides a variety of pre-built agents, such as a general-purpose task solver, deep-research agent, and cryptoanalysis agent, which demonstrate potential for different areas of application potential. It performs well in several benchmarks, e.g., on the Seal-0 subset of the SEALQA benchmark, ROMA Search achieves an accuracy of 45.61 TP3T, outperforming the previous best performer.

Features of ROMA

• Task Decomposition and Parallel Processing: Automatically breaks down complex tasks into manageable subtasks, intelligently manages dependencies, and independent subtasks can be run in parallel to significantly improve processing efficiency.
• Transparent development and debugging: Providing a clear structure for debugging and iteration, developers can easily track the flow of context.
• modular design: Highly scalable with support for insertion of any agent, model, or tool at the node level, including LLM-based agents and human intervention checkpoints.
• High performance: It performs well in several benchmarks, such as on the Seal-0 subset of the SEALQA benchmark, where ROMA Search achieves an accuracy of 45.61 TP3T, outperforming the previous best performer.
• Pre-built agents: Offering a variety of pre-built agents, such as general-purpose task solvers, deep research agents, and cryptoanalytic agents, it demonstrates its potential for application in different domains.
• Open source and community driven: The adoption of the MIT open source license encourages community participation in development and improvement, providing a wide scope for future development of AI agent systems.

ROMA's core strengths

• Efficient Task Breakdown: The ability to recursively decompose a complex task into multiple subtasks that can be processed in parallel significantly improves the efficiency of task execution.
• Transparent development: Provide a clear structure and flow for developers to debug and iterate, easily tracking contextual flow.
• Highly scalable: Adaptable support for insertion of any agent, model or tool at the node level, including LLM-based agents and human intervention checkpoints.
• Excellent performance: Demonstrates outstanding performance in multiple benchmarks, such as outperforming the previous best performer in accuracy in the SEALQA benchmark.

What is the official website of ROMA

• Project website:: https://blog.sentient.xyz/posts/recursive-open-meta-agent
• GitHub repository:: https://github.com/sentient-agi/ROMA

People for whom ROMA is intended

• Artificial Intelligence Developers: Developers looking to build high-performance multi-agent systems can use ROMA's modular design and task decomposition capabilities to develop complex applications.
• data scientist: Scientists who need to process and analyze large amounts of data can use ROMA's parallel processing capabilities to accelerate data analysis and research.
• Financial Technology Specialist: Professionals focused on blockchain, DeFi, and financial analytics can use ROMA's Crypto Analytics Agent to access real-time market data and on-chain analytics.
• research organization: Research teams that need to automate in-depth research and literature analysis can use ROMA's in-depth research agents to improve research efficiency.
• Corporate Analyst: Business analysts who need to quickly access and analyze market information can use ROMA's Universal Task Solver to get the latest industry updates.