sentient-agi/ROMA
Recursive-Open-Meta-Agent v0.1 (Beta). A meta-agent framework to build high-performance multi-agent systems.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
No releases in the last 90 days; the most recent was 374 days ago, with 3 contributors on GitHub.
Peaked at #24 in the weekly ranking the week of Sep 21, its best in the past year.
Use Cases & Benefits
- Builds a recursive meta-agent framework for creating hierarchical, high-performance multi-agent systems that solve complex tasks via task decomposition and parallel execution.
- Enables transparent, recursive task planning and execution with agent-agnostic interfaces, allowing seamless integration of diverse AI models and tools for flexible, scalable problem solving.
- Use for developing advanced AI research assistants that break down and synthesize complex academic or market research queries into manageable subtasks.
- Use for creating financial analytics agents that perform real-time blockchain and DeFi data analysis with secure sandboxed execution and multi-source integration.
- Use for prototyping versatile multi-domain agents capable of intelligent search, fact-checking, and exploratory analysis leveraging parallel task execution and transparent debugging.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
No license detected
No license file detected by GitHub: unless the project grants one elsewhere, the default is all rights reserved.
Community files
- README: present
Watch-outs
- Warning: No license file detected by GitHub: unless the project grants one elsewhere, you generally have no permission to use, modify or distribute the code.
- No commits in the last six months (last push Feb 2026).
General guidance from repository metadata, not legal advice. How we score
From the README
Building hierarchical high-performance multi-agent systems made easy! (Beta)
ROMA is a meta-agent framework that uses recursive hierarchical structures to solve complex problems. By breaking down tasks into parallelizable components, ROMA enables agents to tackle sophisticated reasoning challenges while maintaining transparency that makes context-engineering and iteration straightforward. The framework offers parallel problem solving where agents work simultaneously on different parts of complex tasks, transparent development with a clear structure for easy debugging, and proven performance demonstrated through our search agent's strong benchmark results. We've shown the framework's effectiveness, but this is just the beginning. As an open-source and extensible platform, ROMA is designed for community-driven development, allowing you to build and customize agents for your specific needs while benefiting from the collective improvements of the community.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
772+2
Open issues
29+0
Compared with peers in AI Agents
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| vercel-labs/agent-desktop | 17.0K | +13.3K | 33 | today |
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| stablyai/orca | 116.8K | +6.6K | 40 | today |
| milind-soni/OpenMausBot | 13.5K | +6.0K | 45 | today |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| sentient-agi/ROMA | 5.2K | — | 7 | 374 days ago |
| Category median | 55.5K | +6.6K | 40 | — |
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