oma-orchestration
FeaturedDispatch and supervise parallel specialist agents with durable task state. Use when automated multi-agent execution is requested.
AI & Automation 1,323 stars
151 forks Updated yesterday MIT
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# Orchestration - Automated Multi-Agent Coordination
## Scheduling
### Goal
Automatically orchestrate multi-agent execution with task decomposition, native/fallback dispatch, memory coordination, progress monitoring, verification, QA cross-review, retry, and result collection.
### Intent signature
- User asks to orchestrate, run in parallel, automate multi-agent execution, or coordinate full-stack work end to end.
- Task requires multiple specialist agents and a persistent review/remediation loop.
### When to use
- Complex feature requires multiple specialized agents working in parallel
- User wants automated execution without manually spawning agents
- Full-stack implementation spanning backend, frontend, mobile, and QA
- User says "run it automatically", "run in parallel", or similar automation requests
### When NOT to use
- Simple single-domain task -> use the specific agent directly
- User wants step-by-step manual control -> use oma-coordination
- Quick bug fixes or minor changes
### Expected inputs
- Complex feature or workflow request
- Project config, model/vendor routing, agent types, task constraints, and workspace/session needs
- Acceptance criteria and verification expectations
### Expected outputs
- Orchestrator session state, task board, progress files, result files, and final summary
- Specialist agent outputs after mechanical checks, automated verify, and QA cross-review
- Review history and retry/remediation status when loops fail
### Dependencies
- `...
Details
- Author
- first-fluke
- Repository
- first-fluke/oh-my-agent
- Created
- 7 months ago
- Last Updated
- yesterday
- Language
- TypeScript
- License
- MIT
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