ROMA

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ROMA is an open-source meta-agent framework for building high-performance multi-agent systems. It simplifies the creation of hierarchical agent architectures and offers parallel problem-solving capabilities.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is ROMA?

ROMA (Recursive-Open-Meta-Agent) is an open-source framework designed to simplify the creation of hierarchical, high-performance multi-agent systems. It employs a recursive plan-execute loop, breaking down complex tasks into parallelizable components for efficient problem-solving. Key features include an Atomizer to determine task atomicity, a Planner for subtask decomposition, Executors for handling atomic tasks, and an Aggregator to synthesize results. ROMA supports various LLM providers, offers built-in toolkits like Calculator and File operations, and provides flexible installation options from a minimal setup for quick evaluation to a full Dockerized production environment with persistence, observability, and a REST API.

Best used for

Ideal for developers and data scientists who need to build complex, high-performance multi-agent systems, manage recursive task execution, and orchestrate AI workflows. Especially valuable for creating sophisticated reasoning agents and applications that require transparent context-engineering and parallel problem-solving.

Common actions

build multi-agent systems

manage complex AI tasks

orchestrate AI workflows

deploy AI agents

face swapping"AI Agents"github copilotautomated workflowlow-code/no-codedeepfakecollaborationworkflowsopen-source

Capabilities

Key features

Recursive plan-execute loop
Atomizer for task decomposition
Planner for subtask generation
Executor for atomic tasks
Aggregator for result synthesis
Supports multiple LLM providers
Built-in toolkits

Target Audience

developerdata scientiststartup founder

Integrations

openrouteropenaianthropicpostgresqlmlflowminioe2b

Pricing & Plans

Open Source

Free

FAQs

What is the core principle behind ROMA's task processing?

ROMA processes tasks through a recursive plan-execute loop. It uses an Atomizer to determine if a task is atomic, a Planner to break down complex tasks into subtasks, Executors to handle atomic tasks, and an Aggregator to synthesize results from subtasks back into a coherent answer.

What are the different installation options for ROMA?

ROMA offers a minimal installation for quick evaluation, which is fast and requires no infrastructure. For production use, there's a full Docker installation that includes persistence with PostgreSQL, observability with MLflow, a REST API, and S3-compatible storage with MinIO.

Can ROMA work with different Large Language Model (LLM) providers?

Yes, ROMA is designed to be flexible and works with any LLM provider. The default configuration uses OpenRouter, but it can also be configured to use OpenAI, Anthropic, or other providers by setting the appropriate API keys and customizing the configuration.

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Coding & Development › Open Source & Models

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