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High-performance multi-agent coordination framework leveraging Rust's safety and speed
Key Features
Multi-Agent Single Agent Streaming Async Support Short-Term Memory Shared Memory Plugin System Custom Tools CLI API Server Self-Hosted
Community Feedback
Strengths
- Rust performance and safety
- Memory-efficient
- Apache-2.0 license
Weaknesses
- Rust learning curve
- Smaller ecosystem than Python
AutoAgents Details
| Organization | LiquidOS AI |
| Organization Type | Company |
| Funding | Seed |
| Category | AI Harness |
| Subcategory | Orchestration |
| Deployment | SDK/Framework |
| Primary Language | Rust |
| Runtime | Rust 1.70+ |
| License | Apache-2.0 |
| Commercial Use | Unrestricted |
| Install Command | cargo add autoagents |
| GitHub Stars | 485 |
| GitHub Forks | 63 |
| Open Issues | 13 |
| Contributors | 15 |
| Last Commit | 2026-03-25 |
| First Release | 2026-02-10 |
| Maturity | Alpha |
| Pricing Model | Free |
| Free Tier | Fully open source |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Small |
| Community Activity | Active |
| Sentiment | Positive |
| GPU Required | No |
| Research Date | 2026-03-27 |
| LLM Providers | OpenAI, Anthropic, Local models |
| API Keys Required | LLM provider API key |
Use Cases
- High-throughput agent orchestration
- Low-latency agent coordination
- Production agent deployment
When to Use
Best for: Performance-critical multi-agent systems requiring Rust's guarantees
Avoid when: Quick prototyping or Python-first teams
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a