by agentic-trust-labs · MCP 服务器 · ★ 8
GlassBox AI We are exploring GlassBox as an orchestration platform for autonomous AI agents, built for enterprise problems where each decision costs hundreds — and each bad one costs more. []() []() []() The Platform Enterprise AI agents today are largely black boxes. They take actions, produce outputs, and when something goes wrong, there is no trace of what happened, no mechanism to feed corrections back, and no human with a meaningful checkpoint. Existing orchestration tools — LangGraph, CrewAI, AutoGen — solve the wiring problem well. They do not solve the accountability problem.
| Stars | 8 |
| Forks | 1 |
| Language | Python |
| Category | MCP 服务器 |
| License | MIT |
| Quality Score | 35.55/100 |
| Open Issues | 57 |
| Last Updated | 2026-03-15 |
| Created | 2026-02-13 |
| Platforms | mcp, python |
| Est. Tokens | ~585k |
Explore other popular mcp 服务器 tools:
glassbox-ai is Autonomous coding agent that ships tested PRs from GitHub issues. Trust-scored multi-agent pipeline - every decision transparent. Trust is earned, not assumed. 💎. It is categorized as a MCP 服务器 with 8 GitHub stars.
glassbox-ai is primarily written in Python. It covers topics such as agentic-ai, ai-agent, ai-safety.
You can find installation instructions and usage details in the glassbox-ai GitHub repository at github.com/agentic-trust-labs/glassbox-ai. The project has 8 stars and 1 forks, indicating an active community.
glassbox-ai is released under the MIT license, making it free to use and modify according to the license terms.