openairymax/agentrt

Airymax AgentRT Transcend context limits. Achieve near-infinite memory.

What it solves

AgentRT provides a unified runtime platform for AI Agents, acting as an orchestration layer similar to how Kubernetes manages containers. It solves the complexity of managing multi-agent cognitive cycles, memory evolution, security isolation, and protocol interoperability by providing a standardized environment for AI Agent teams to operate.

How it works

AgentRT is structured as a microkernel-based system composed of several specialized components (atoms, commons, cupolas, daemons, gateway, heapstore, and protocols). It implements OS-level mechanisms including memory layering, IPC protocols, and security "domes" to ensure stable and isolated execution. The project uses a rigorous automated pipeline for cross-platform builds (Linux, macOS, Windows) and testing, ensuring that releases are self-contained and verified on clean host environments before deployment.

Who it’s for

It is designed for developers building complex multi-agent AI systems who require a robust, secure, and cross-platform runtime environment to manage the lifecycle and execution of AI agents.

Highlights

  • OS-level Runtime: Provides microkernel primitives, cognitive cycles, and memory layering for AI agents.
  • Cross-Platform Support: Native builds and verification for Linux, macOS, and Windows across multiple architectures (x86 and ARM).
  • Rigorous Quality Control: Employs static quality gates, ASan/UBSan sanitizers, and clean-host verification to prevent regressions.
  • Self-Contained Deployment: Delivers binaries that include all dependencies, allowing installation without a development environment.

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