🚀 Magnitude (YC S25): A Self-Optimizing Inference Engine for Agents

Magnitude is an open-source inference framework specifically engineered for AI agents. Unlike generic engines, Magnitude optimizes itself based on the specific hardware it is running on, ensuring that open-weight models operate at the absolute limit of your machine's capabilities.

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🛠️ How It Works

Magnitude doesn't rely on a "one size fits all" approach. Instead, it compiles and tunes kernels directly on your device before the model begins execution. This ensures the software is perfectly tailored to your specific chip.

Key Technical Advantages

• Custom Kernels: Hand-optimized for the most popular open-weight model families.
• Dynamic Memory: Reduces memory usage per agent by $\approx 27\%$, with resources being released immediately when agents are inactive.
• Efficient Concurrency: Utilizes shared prefix caches to maintain speed across multiple simultaneous sessions.
• Hardware Agnostic: Full support for macOS, Windows, and Linux.

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⚡ Performance Benchmarks

Magnitude is designed to outperform generalist engines. While standard engines use generic kernels, Magnitude's self-tuning approach allows it to reach a speedup of:

$\text{Performance} \approx 2 \times \text{llama.cpp}$

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🤖 Agent Integration

Connecting Magnitude to your existing workflow is a one-click process. It acts as the high-performance backbone for various agentic frameworks:

• Supported Agents:
  • Pi & Oh My Pi
  • OpenCode & OpenClaw
  • Hermes
  • Codex
  • Claude Code
  • Cline

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❓ Frequently Asked Questions

What exactly is Magnitude? It is an open-source inference engine that optimizes itself for your specific hardware. It is delivered as a desktop application that runs open models locally and bridges them to your preferred AI agent.

How does it handle different machine sizes? It scales naturally: smaller machines run smaller models, while those with more VRAM/RAM can leverage larger models.

Why is it faster than other engines? Because we write specialized, hand-optimized kernels for the most popular model families rather than relying on general-purpose implementations.

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🚀 Getting Started

Ready to boost your local inference? Follow these steps:

• Download the Magnitude installer.
• Install the application on your OS.
• Launch the app and connect your agent.

Project Structure & Tech Stack

For developers looking at the magnitudedev/magnitude repository, the project utilizes a modern TypeScript stack:

{
  "runtime": "bun",
  "monorepo_tool": "turbo",
  "testing": "vitest",
  "license": "Apache-2.0"
}

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🔒 Privacy & Open Source

Magnitude is built on the principle of local-first AI:

1. Zero Token Costs: Run everything on your own silicon.
2. Total Privacy: No data leaves your machine.
3. Open Source: Distributed under the Apache 2.0 license.