open-web-agent-rs

Name: open-web-agent-rs
Author: seemueller-io

@seemueller-io

リポジトリ

open-web-agent-rs について

an mcp server with candle inference

#agent #rust #axum #llm #genaiscript

基本情報

カテゴリ

AI とエージェント

ライセンス

MIT license

ランタイム

rust

トランスポート

stdio

公開者

seemueller-io

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "open-web-agent-rs": {
      "command": "docker",
      "args": [
        "compose",
        "up",
        "-d",
        "searxng"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is open-web-agent-rs?

open-web-agent-rs is a Rust-based web agent that includes an embedded OpenAI‑compatible inference server. It supports only Gemma models and is designed for developers who want a lightweight, local web agent with custom inference.

How to use open-web-agent-rs?

Copy the .env.example to .env, install dependencies with bun i, start the local inference server by running cargo run --release -- --server inside local_inference_server, launch the SearXNG search engine with docker compose up -d searxng, then run bun dev to start the agent.

Key features of open-web-agent-rs

Rust‑based implementation for performance and reliability
Embedded OpenAI‑compatible inference server
Supports Gemma models only
Integrates with SearXNG for web search
Quick setup with Bun, Cargo, and Docker

Use cases of open-web-agent-rs

Creating a private web agent with local Gemma model inference
Experimenting with Rust‑based agent workflows
Building a self‑hosted, search‑enabled assistant

FAQ from open-web-agent-rs

Which models does open-web-agent-rs support?

It supports only Gemma models. Other model families are not compatible.

What are the runtime requirements?

You need Rust, Bun, and Docker installed. The local inference server is written in Rust and runs via Cargo.

Where does data live?

Data can be configured in the .env file. The SearXNG instance runs locally via Docker.

Are there any known limitations?

The inference server is embedded and supports only Gemma models, so flexibility is limited to that model family.

What transport or authentication does it use?

The README does not specify authentication or transport details. It uses an OpenAI‑compatible API interface locally.

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