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christiangrey922/README.md
Christian Grey GitHub profile banner

GitHub followers Profile views Open Source

πŸ‘‹ About me

I build practical open-source tools around AI agents, automation, developer tooling, integrations, and workflow orchestration.

  • πŸ€– Building multi-agent workflows and agent runtime experiments
  • πŸ”Œ Interested in MCP, connectors, tool execution, permissions, and sandboxed automation
  • 🧰 Focused on developer tooling, libraries, integrations, CI/CD, and reusable infrastructure
  • πŸ§ͺ Prefer projects that can be cloned, tested, extended, and used as real technical building blocks
  • 🌏 Based in Vietnam, building for a global developer audience

πŸš€ Featured project

A practical lab for designing, testing, and supervising multi-agent workflows, including agent execution, tool orchestration, permissions, sandboxing, connectors, input processing, and workflow evaluation.

Repo Stars Last Commit


🧩 What I build

AI Agents
β”œβ”€β”€ Agent runtimes
β”œβ”€β”€ Multi-agent orchestration
β”œβ”€β”€ Tool execution
β”œβ”€β”€ MCP connectors
β”œβ”€β”€ Permission systems
β”œβ”€β”€ Sandboxed workflows
└── Evaluation & monitoring

Developer Infrastructure
β”œβ”€β”€ Libraries & SDKs
β”œβ”€β”€ API integrations
β”œβ”€β”€ Automation
β”œβ”€β”€ CI/CD
β”œβ”€β”€ Verification
└── Open-source tooling

πŸ› οΈ Tech & tools

Python TypeScript JavaScript Node.js Docker GitHub Actions Linux OpenAI


🧠 Current interests

Agent Runtime Β· Multi-Agent Systems Β· MCP Β· AI Automation Β· Developer Tools Β· SDK Β· CLI Β· Connectors Β· CI/CD Β· Security Β· Open Source


πŸ“Š GitHub activity

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🀝 Open-source collaboration

I am interested in collaborating on projects related to:

  • AI-agent infrastructure and orchestration
  • Developer libraries, SDKs, CLIs, and integrations
  • MCP servers and connectors
  • Automation and CI/CD tooling
  • Security, verification, provenance, and permission systems
  • Experimental open-source infrastructure with clear real-world use cases

πŸ“« Connect

GitHub


Build useful things. Document them well. Share them openly.

Open-source experiments β€’ AI agents β€’ developer infrastructure

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