AMAP
Back to directory
Frameworks & Orchestration Framework Active

ROMA

A recursive multi-agent framework that decomposes complex goals into hierarchical tasks and coordinates specialized workers.

Editorial research profile

What problem does this project address?

Provides reusable building blocks for defining agent roles, team topology, delegation, messaging, and execution control.

A recursive multi-agent framework that decomposes complex goals into hierarchical tasks and coordinates specialized workers.

Multi-agent core

How do the agents coordinate?

R

Recursive

Recursive is recorded as a coordination characteristic in this project's reviewed taxonomy.

H

Hierarchical

A manager or supervisor delegates work and aggregates results from subordinate agents.

Application fit

Where can it be useful?

Representative use cases

  • Build a custom multi-agent application without implementing the orchestration runtime from scratch.
  • Prototype alternative team structures, handoff rules, and review loops.
  • Standardize how agents, tools, memory, and model providers are connected.

Why it may be worth examining

  • Useful when you need reusable orchestration primitives and control over the application built on top.
  • The project exposes 2 recorded coordination characteristics, making their combination easier to examine.
  • Its self-hosting classification supports code inspection, internal experiments, and tighter data boundaries.

Engineering adoption guide

What should you verify before adoption?

Project-level trade-offs

  • A framework reduces implementation work but still requires architecture, evaluation, operations, and domain-specific safeguards.
  • The project was active at the latest editorial review, but release cadence and issue health should still be checked.
  • Multi-agent results depend heavily on models, prompts, tools, data, and evaluation design; revalidate with representative tasks.

Technical and licensing facts

  • Recorded as self-hostable; verify model, storage, and external service dependencies before adoption.
  • The primary implementation language is Python; assess extension and maintenance cost against your team's stack.
  • The recorded license is Apache-2.0; confirm the repository's full license text and dependency licenses before formal use.

Recommended evaluation checklist

  1. 1 Check whether state, retries, cancellation, and long-running work are durable.
  2. 2 Compare its native team patterns with the topology your application actually needs.
  3. 3 Measure observability, testing support, and the cost of replacing framework abstractions.

Traceable information

Research basis and freshness

Sources used for this profile

  • Official GitHub repository and public metadata
  • Official project website or documentation when available
  • Repository-verifiable multi-agent mechanism and project scope
  • This directory's normalized taxonomy, status, and adoption dimensions
Last reviewed
2026-07-20
Status
Active
GitHub Stars
Not synced
Archived
No

Note: This page supports open-source discovery and engineering evaluation. It is not security, medical, legal, or financial advice. Capabilities and maintenance status may change after review; verify the official repository and documentation before adoption.

Continue exploring

Related projects

View all
CrewAI

Frameworks & Orchestration

framework

A framework for building role-based teams of agents with explicit tasks, processes, tools, delegation, and hierarchical coordination.

role-basedhierarchicalself-hosted
Python MIT Self-hosted
AutoGen

Frameworks & Orchestration

framework

Microsoft's framework for conversational agents that can form teams, exchange messages, use tools, and coordinate complex workflows.

conversationalevent-drivenself-hosted
Python MIT Self-hosted
CAMEL

Frameworks & Orchestration

framework

A research-oriented framework for communicative agents, role-playing societies, task decomposition, and scalable multi-agent experiments.

role-playingresearchself-hosted
Python Apache-2.0 Self-hosted