by mezmo · MCP Server · ★ 116
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AURA AURA is an agentic harness that turns an LLM model into a reliable, autonomous service capable of executing real SRE work. AURA provides the guardrails, API servers, state management, authentication, streaming, error handling, and tool integrations necessary to run AI SRE agents safely in production. Key capabilities: Declarative agent composition via TOML with multi-provider LLM support and multi-agent serving Dynamic MCP tool discovery via HTTP streamable, SSE, and STDIO transports Automatic schema sanitization for OpenAI function-calling compatibility Vector search integration with Qdrant and AWS Bedrock Knowledge Base Embeddable Rust core independent from configuration layer Multi-agent orchestration with coordinator/worker architecture and DAG-based parallel execution Dependency-aware multi-wave execution with plan/execute loops A2A protocol support for agent-to-agent interoperability Table of Contents Quick Start Project Structure [
| Stars | 116 |
| Forks | 18 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 56.984/100 |
| Open Issues | 85 |
| Last Updated | 2026-06-19 |
| Created | 2026-03-02 |
| Platforms | mcp, rust |
| Est. Tokens | ~30k |
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aura is AURA is an agentic harness that turns an LLM model into a reliable, autonomous service capable of executing real SRE work. AURA provides the guardrails, API servers, state management, authentication, . It is categorized as a MCP Server with 116 GitHub stars.
aura is primarily written in Rust. It covers topics such as ai-agent-framework, ai-agents, ai-sre.
You can find installation instructions and usage details in the aura GitHub repository at github.com/mezmo/aura. The project has 116 stars and 18 forks, indicating an active community.
aura is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to aura on Agent Skills Hub include ongrid, swarmclaw, siclaw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.