Skillget

akio

mcp
Guvenlik Denetimi
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Bu listing icin henuz AI raporu yok.

SUMMARY

An autonomous AI agent written in Rust with in-binary inference.

README.md

akio

An autonomous AI agent written in Rust with in-binary inference.

[!WARNING]
Akio is under active development.
The project is not yet fully functional and may not work as expected out of the box.
If you'd like to contribute, feel free to open a pull request.
Found a bug, vulnerability, or something unusual? Please open an issue.

What is Akio?

Akio is a plug-and-play autonomous AI agent with embedded model inference, written in Rust. No OpenAI, no Anthropic, no Ollama — the inference runs directly inside the binary. It combines the power of large language models (LLMs) with real-world capabilities by integrating with a shell, read/write tools and a glob tool. Need more tools? Akio support MCP servers.

Roadmap features

  • LLM inference
  • Default tools (shell, read, write, and glob)
  • MCP
  • API
  • Orchestrator
    • Model routing
    • System prompt for each worker
    • Built-in tools for each worker
  • Voice mode
    • VAD inference
    • STT inference
    • TTS inference
  • Image model inference
  • Video model inference

The Grimoire

The Grimoire is the official Akio's documentation. You can read it here.

Installation

Using cargo (recommend)

cargo install --git https://github.com/Fastiraz/akio.git

Usage

  1. Download your first model
akio pull ggml-org/Qwen3-8B-GGUF
  1. Run the model
akio run -m Qwen3-8B-Q4_K_M.gguf

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