A Rust-based Agent OS using JSON-LD as a unified IRI data bus with MMU-like memory projection

Most AI agent frameworks are slow and expensive because they constantly shuffle massive JSON payloads and duplicate data between components.

Gliding Horse changes the game. We built an open-source AI Agent Operating System that treats your agents' memory with the extreme efficiency of a computer's hardware. Instead of passing heavy text blobs, Gliding Horse uses a unified data bus to pass lightweight pointers, making your multi-agent systems faster, cheaper, and infinitely more scalable.

Why developers love Gliding Horse:

⚡️ Smart Memory Management (The "MMU" Engine)
Inspired by CPU architecture, our system only loads the exact information your agent needs at any given moment. If data isn't active, it stays in deep storage until triggered—just like a page fault. This slashes token costs and completely prevents context window overload.

🚀 Zero-Hassle Deployment
Say goodbye to dependency conflicts and complex runtime setups. Built entirely in Rust, Gliding Horse compiles into a single, zero-dependency binary. Just download and run—instant deployment right out of the box.

🛡️ Industrial-Grade Reliability
Get enterprise-level memory safety and rock-solid stability without the garbage collection pauses typical in Python or JS frameworks. Your critical AI workflows won't crash under pressure.

🧠 O(1) Token Efficiency
Your LLM’s context window acts strictly as fast-access RAM, holding only brief summaries and IRI references. Keep your token consumption predictable and minimal, no matter how large your knowledge graph grows.

Stop letting bad architecture bottleneck your AI agents. Try Gliding Horse today!

👉 Check out the source code & architecture diagrams on GitHub: https://github.com/doiito/gliding_horse