agentic-trust-labs/glassbox-ai

Autonomous coding agent that ships tested PRs from GitHub issues. Trust-scored multi-agent pipeline - every decision transparent. Trust is earned, not assumed. 💎

33
/ 100
Emerging

This project provides a platform for building and managing AI agents in enterprise environments where accountability is crucial. It helps businesses automate complex workflows by taking raw inputs (like bug reports) and producing verified outputs (like tested code patches), all while ensuring every decision made by the AI is transparent and reviewable. This is ideal for operations managers, software teams, or anyone deploying AI for critical business functions who needs full auditability and the ability to course-correct AI behavior over time.

Use this if you need to deploy AI agents for high-stakes enterprise tasks and require a robust, built-in system for auditability, human oversight, and continuous improvement through explicit corrections.

Not ideal if you are looking for a simple prompt framework, a RAG library, a basic multi-agent chat system, or a production-ready solution with a large existing ecosystem and integrations.

enterprise-ai ai-governance software-development process-automation human-in-the-loop
No Package No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 11 / 25
Community 8 / 25

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Stars

8

Forks

1

Language

Python

License

MIT

Last pushed

Feb 27, 2026

Commits (30d)

0

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