Tero is a platform to create, share and use AI agents with focus on empowering software quality processes.

• Create and use agents quickly with your preferred AI models.
• Share agents within your teams to accelerate AI adoption.
• Leverage a growing community catalog of contributed agents.
• Build powerful agents using built-in tools (e.g., Jira, MCP, Browser, Web, Docs).
• Safely experiment by defining and running test suites for your agents.
• Review usage and impact through reports in the AI Console.
• Control costs and use AI providers efficiently with per-user budget.
• Integrate with developer tools like GitHub Copilot and Cursor.
• Use agents anywhere on the web via the Tero Copilot browser extension.

The easiest way to try Tero is through the online demo. Request access here.

To run Tero locally:

1. Generate an OpenAI API key or an Azure OpenAI endpoint and key.
2. Clone this repository. Make sure you have git-lfs installed to get all the files properly.
3. Copy src/sample.env to .env in the project root and set OPENAI_API_KEY or AZURE_API_KEYS and AZURE_ENDPOINTS.
4. Start the app and dependencies with docker compose up -d.
5. Open http://localhost:8000 and log in with username test and password test.

Docker is required.

Some tools, like Web or advanced file processing for Docs tool, require additional configuration. Check comments in sample.env for more details.

• Join our Discord server to engage with fellow Tero enthusiasts, ask questions, and share experiences.
• Visit GitHub Issues for bug reports, feature requests and share ideas.

Abstracta, the main supporter of Tero, offers enterprise support with faster responses, customizations, and consulting.

We value all sort of contributions, including questions and feature requests.

• Create issues to ask questions & share ideas.
• Share agents with the community in the agents repository.
• If you are interested on helping us improve the platform, check the Contributing Guide