ROMA - Hierarchical Task Trees for Debuggable Agents

Open-source meta-agent framework for orchestrating complex multi-agent tasks reliably

Unclaimed

Updated Jul 2026 · Added Jul 2026

sentient.xyz

Agent FrameworksFreeagent-frameworks

Visit Roma

Share: X in LinkedIn

Add your screenshot here

Image or video shown in this spot

Follow Roma

What is Roma?

ROMA (Recursive Open Meta-Agent) is an open-source framework for building high-performance multi-agent systems that tackle complex, long-horizon tasks. It uses a hierarchical, recursive task tree where parent nodes decompose goals into subtasks and aggregate results, enabling transparent context flow and reliable multi-step reasoning. Designed for builders and researchers who need structured, debuggable multi-agent orchestration with pluggable components.

Explore Roma

Need help implementing ROMA - Hierarchical Task Trees for Debuggable Agents?

Find verified specialists who work with ROMA - Hierarchical Task Trees for Debuggable Agents

Browse specialists

Key Features of Roma

Hierarchical recursive task tree architecture
Structured Pydantic inputs and outputs
Transparent context flow and full traceability
Pluggable agents, tools, and models at node level
Parallelization support for performance
Human-in-the-loop checkpoint capabilities
Debug-friendly reasoning visibility
State-of-the-art SEALQA benchmark performance

Who Should Use Roma?

Building internet search agents with multi-source reasoning

Generating research reports comparing multiple topics

Orchestrating complex multi-step reasoning tasks

Creating hierarchical task decomposition systems

Implementing medium- to long-horizon agent workflows

Debugging and iterating on agent prompts

Roma: Pros & Cons

✓Pros

Open-source framework with full transparency
Structured architecture makes reasoning fully traceable
Easy to debug and refine prompts
Modular design allows swapping agents and tools
Natural parallelization for high performance
State-of-the-art results on SEALQA (45.6% accuracy)
Works with any LLM-based agent or model
Supports human-in-the-loop integration

Frequently Asked Questions about Roma

What is ROMA and what problem does it solve?

ROMA (Recursive Open Meta-Agent) is an open-source framework that orchestrates multi-agent systems to solve complex, long-horizon tasks. It structures task decomposition hierarchically, allowing parent nodes to break goals into subtasks and aggregate results, making medium- to long-horizon reasoning reliable.

How does ROMA's architecture work?

ROMA uses a hierarchical, recursive task tree where parent nodes decompose complex goals into subtasks for child nodes, which solve them using specialized agents and tools. Results flow back up and are aggregated by parent nodes, creating transparent context flow throughout the system.

Can I use ROMA with my own agents and tools?

Yes, ROMA's modular design allows you to plug in any agent, tool, or model at the node level, from specialized LLM-based agents to human-in-the-loop checkpoints.

What are ROMA's performance benchmarks?

ROMA Search, built on ROMA's architecture, achieves 45.6% accuracy on the SEALQA benchmark (Seal-0 subset), state-of-the-art performance on FRAMES (multi-step reasoning), and near state-of-the-art on SimpleQA.