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layout default
title gptme Tutorial
nav_order 117
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gptme Tutorial: Open-Source Terminal Agent for Local Tool-Driven Work

Learn how to use gptme/gptme to run a local-first coding and knowledge-work agent with strong CLI ergonomics, extensible tools, and automation-friendly modes.

GitHub Repo License Release

Why This Track Matters

gptme is one of the earliest still-active open-source terminal agents and offers a broad toolset for code, shell, web, and automation workflows.

This track focuses on:

  • CLI-first operation and prompt workflows
  • local tool execution and safety boundaries
  • layered configuration for global/project/chat contexts
  • extensibility through MCP, ACP, plugins, and automation

Current Snapshot (auto-updated)

  • repository: gptme/gptme
  • stars: about 4.3k
  • latest release: v0.31.0 (published 2025-12-15)

Mental Model

flowchart LR
    A[Prompt] --> B[gptme CLI]
    B --> C[Tool Selection]
    C --> D[Local Execution]
    D --> E[Output and Self-Correction Loop]
    E --> F[Session Logs and Resume]
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Chapter Guide

Chapter Key Question Outcome
01 - Getting Started How do I install and run gptme quickly? Working baseline
02 - Core CLI Workflow and Prompt Patterns How should I structure prompts and sessions? Better interactive productivity
03 - Tooling and Local Execution Boundaries How does gptme act on files, shell, and web context? Strong tool mental model
04 - Configuration Layers and Environment Strategy How do global/project/chat configs interact? Predictable configuration control
05 - Context, Lessons, and Conversation Management How does gptme maintain quality across long tasks? Improved context discipline
06 - MCP, ACP, and Plugin Extensibility How do I connect gptme to external tooling and clients? Extensibility strategy
07 - Automation, Server Mode, and Agent Templates How can I operationalize gptme beyond interactive CLI? Automation and deployment pathways
08 - Production Operations and Security How should teams run gptme safely in production workflows? Governance baseline

What You Will Learn

  • how to structure reliable gptme terminal-agent sessions
  • how to configure providers/tools across environments
  • how to extend gptme with protocols and plugins
  • how to run secure, reproducible automation workflows

Source References

Related Tutorials

Start with Chapter 1: Getting Started.

Navigation & Backlinks

Full Chapter Map

  1. Chapter 1: Getting Started
  2. Chapter 2: Core CLI Workflow and Prompt Patterns
  3. Chapter 3: Tooling and Local Execution Boundaries
  4. Chapter 4: Configuration Layers and Environment Strategy
  5. Chapter 5: Context, Lessons, and Conversation Management
  6. Chapter 6: MCP, ACP, and Plugin Extensibility
  7. Chapter 7: Automation, Server Mode, and Agent Templates
  8. Chapter 8: Production Operations and Security

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