📁 Subsystem Deep Dive

utils/teleport/

📁 utils/teleport/ 📄 6 files

Tutorial: teleport

This project enables remote code execution by establishing persistent Sessions where an AI agent can safely read and write code. It orchestrates the lifecycle of these sessions across different Execution Environments (such as managed cloud instances), ensuring the remote workspace perfectly mirrors the local codebase by synchronizing state via git bundles and managing network interactions through a resilient API layer.

flowchart TD A0["Remote Code Sessions"] A1["Execution Environments"] A2["State Synchronization (Git Bundling)"] A3["API Communication Layer"] A4["Environment Selection Strategy"] A0 -->|"Runs on"| A1 A0 -->|"Uses for transport"| A3 A1 -->|"Uses for authentication"| A3 A4 -->|"Selects from"| A1 A0 -->|"Seeds filesystem from"| A2

Chapters

  1. Remote Code Sessions
  2. Execution Environments
  3. Environment Selection Strategy
  4. State Synchronization (Git Bundling)
  5. API Communication Layer

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Files in this section

01_remote_code_sessions.md
Chapter 1: Remote Code Sessions
Welcome to the world of teleport! If you are building tools that allow AI to write and execute code, you are starting i…
02_execution_environments.md
Chapter 2: Execution Environments
In the previous chapter, Remote Code Sessions, we learned how to create a virtual meeting room where you and the AI can…
03_environment_selection_strategy.md
Chapter 3: Environment Selection Strategy
In the previous chapter, Execution Environments, we learned that code needs a physical place to run—a "building" with C…
04_state_synchronization__git_bundling_.md
Chapter 4: State Synchronization (Git Bundling)
In the previous chapter, Environment Selection Strategy, we successfully identified the perfect "building" (server) to…
05_api_communication_layer.md
Chapter 5: API Communication Layer
Welcome to the final chapter of our specific deep dive into the teleport architecture!