openairymax/agentrt

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

What it solves

AgentRT provides an OS-level runtime infrastructure for AI Agent teams. It functions as a foundational layer—similar to how the JVM works for languages or containerd works for containers—to manage the complex operational requirements of AI agents, including cognitive loops, memory layering, and inter-process communication (IPC).

How it works

AgentRT acts as a central management hub that aggregates seven specialized "leaf" repositories (atoms, commons, cupolas, daemons, gateway, heapstore, and protocols). It implements a microkernel-style architecture providing primitives for:

  • Cognitive Loops & Memory: Managing how agents process information and store data.
  • Security & Connectivity: Providing a "security dome" and gateway services.
  • C-level Mechanisms: Implementing IPC protocols and resident daemon processes.
  • CI/CD Pipeline: The project uses a sophisticated GitHub Actions setup to handle cross-platform builds (Linux, macOS, Windows, RISC-V, ARM), code generation validation, and mirrored synchronization across multiple git platforms (atomgit, GitHub, Gitee).

Who it’s for

It is designed for AI Agent developers and platform engineers who need a standardized, robust runtime environment to deploy and scale agentic workflows.

Highlights

  • OS-level Runtime: Positions itself as the "JVM for AI Agents."
  • Cross-Platform Support: Supports a wide matrix of architectures including x64, ARM64, RISC-V, and 32-bit systems.
  • Multi-Repo Aggregation: Manages seven distinct sub-modules to provide a comprehensive suite of runtime primitives.
  • Rigorous Validation: Includes automated checks for syscall consistency and SSoT (Single Source of Truth) technical documentation validation.

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