AOrchestra
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Automatically creates and orchestrates sub-agents for complex multi-step tasks
Key Features
Multi-Agent Async Support Short-Term Memory Shared Memory Custom Tools MCP Protocol Code Execution DAG Workflows Self-Hosted
Community Feedback
Strengths
- Novel auto-agent creation
- Research-grade
- Apache-2.0 license
Weaknesses
- Experimental stage
- Limited production use
AOrchestra Details
| Organization | Foundation Agents |
| Organization Type | Research-lab |
| Funding | Open source only |
| Category | AI Harness |
| Subcategory | Orchestration |
| Deployment | SDK/Framework |
| Primary Language | Python |
| Runtime | Python 3.10+ |
| License | Apache-2.0 |
| Commercial Use | Unrestricted |
| Install Command | pip install aorchestra |
| GitHub Stars | 84 |
| GitHub Forks | 17 |
| Contributors | 2 |
| Last Commit | 2026-03-22 |
| Maturity | Experimental |
| Pricing Model | Free |
| Free Tier | Fully open source |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Small |
| Community Activity | Moderate |
| Sentiment | Positive |
| GPU Required | No |
| Research Date | 2026-03-27 |
| LLM Providers | OpenAI, Anthropic |
| API Keys Required | LLM provider API key |
Use Cases
- Dynamic agent creation
- Automated workflow decomposition
- Meta-orchestration
When to Use
Best for: Research teams exploring automatic agent generation and orchestration
Avoid when: Need production-ready stable framework
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a