by tingly-dev
Your Intelligence, Orchestrated. For all Solo Builder, Dev Teams and Agents.
# Add to your Claude Code skills
git clone https://github.com/tingly-dev/tingly-boxAnnouncement: Here is fault record. Please update to the latest version to resolve known issues. Thank you for your continued support.

Tingly Box coordinates AI models, optimizes context, and routes requests for maximum efficiency — with built-in remote control and secure, customizable integrations.

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From npm (recommended)
# Install and run (auto service migration without any args)
npx tingly-box@latest
if any trouble, please check tingly-box process and port 12580 and confirm to kill them.
From source code
Requires: Go 1.25+, Node.js 20+, pnpm, task, openapi
# Install dependencies
# - Go: https://go.dev/doc/install
# - Node.js: https://nodejs.org/
# - pnpm: `npm install -g pnpm`
# - task: https://taskfile.dev/installation/, or `go install github.com/go-task/task/v3/cmd/task@latest`
# - shell: copy and run shell command in taskfile directly
git submodule update --init --recursive
# Build with frontend
task build
# Build GUI binary via wails3
task wails:build
From Docker (Github)
mkdir tingly-data
docker run -d \
--name tingly-box \
-p 12580:12580 \
-v `pwd`/tingly-data:/home/tingly/.tingly-box \
ghcr.io/tingly-dev/tingly-box
Tool Integration
Any application is ready to use.
We've provided detailed config guide in application
OpenAI SDK
from openai import OpenAI
client = OpenAI(
api_key="your-tingly-model-token",
base_url="http://localhost:12580/tingly/openai/v1"
)
response = client.chat.completions.create(
model="tingly-gpt",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response)
Anthropic SDK
from anthropic import Anthropic
client = Anthropic(
api_key="your-tingly-model-token",
base_url="http://localhost:12580/tingly/anthropic"
)
response = client.messages.create(
model="tingly",
max_tokens=1024,
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response)
Tingly Box proxies requests transparently for SDKs and CLI tools.
Using OAuth Providers
You can also add OAuth providers (like Claude Code) and use your existing quota in any OpenAI-compatible tool:
# 1. Add Claude Code via OAuth in Web UI (http://localhost:12580)
# 2. Configure your tool with Tingly Box endpoint
Requests route through your OAuth-authorized provider, using your existing Claude Code quota instead of requiring a separate API key.
This works with any tool that supports OpenAI-compatible endpoints: Cherry Studio, VS Code extensions, or custom AI agents.
Tingly Box now supports remote control through popular IM platforms. Interact with your AI agents remotely without direct server access.
Supported Platforms
Quick Setup
http://localhost:12580Use Cases

npx tingly-box@latest
User Manual – Installation, configuration, and operational guide
Guardrails – Policy-based safety checks, built-in protections, and protected credential masking
MCP Web Tools – Local stdio MCP server for web_search / web_fetch
By contributing to this repository, you agree that your contributions may be included in this project under the MPL-2.0 and may also be used by Tingly Inc. under separate commercial licensing terms.
See CONTRIBUTING.md and NOTICE for details.
We welcome contributions! Follow these steps, inspired by popular open-source repositories:
Fork the repository – Click the “Fork” button on GitHub.
Clone your fork
git clone https://github.com/your-username/tingly-box.git
cd tingly-box
Create a new branch
git checkout -b feature/my-new-feature
Make your changes – Follow existing code style and add tests if applicable.
Run tests
task test
Commit your changes
git commit -m "Add concise description of your change"
Push your branch
git push origin feature/my-new-feature
Open a Pull Request – Go to the GitHub repository and open a PR against main.
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This project is available under:
For commercial licensing inquiries, contact biz@tingly.dev.
Mozilla Public License Version 2.0 · © Tingly Dev