[ 01 / Overview ]
What this project does
A workflow-oriented enhancement to OpenCode focused on coordinating coding agents.
Description from GitHub metadata
OmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.
Source: GitHub[ 02 / Use cases ]
When to use it
Additional agent roles, development conventions, and specialized execution flows.
[ 03 / Trade-offs ]
What to watch for
Check compatibility with current OpenCode versions and overhead from parallel agents.
[ 04 / First test ]
Start with a small experiment
Try a plan, build, and review flow in a sample repository.
This is a suggested test, not an experiment already conducted by DARC.DEV.
[ 05 / Alternatives ]
Related projects in the ranking
- #11 · 147,861 ★
LangChain ↗
A modular application framework for composing LLMs, retrieval components, and agent tools.
- #19 · 83,899 ★
DeerFlow ↗
ByteDance's open-source workflows for research and multi-step agent-powered deliverables.
- #20 · 74,775 ★
Ruflo ↗
A multi-agent coordination project exploring swarm execution and specialized agent workflows.
- #22 · 70,859 ★
MetaGPT ↗
A multi-agent framework exploring specialized software delivery roles and their collaboration.
Sources and methodology
GitHub stars, archive status, and license information were checked using the official GitHub REST API on October 15, 2026. Recommended use cases and first tests are editorial guidance, not an independently executed benchmark. A star count is not a measure of software quality.
Open the repository for its current status