BMO

AI Coding Agent for the Terminal

2026

Table of Contents

Getting Started
  • Overview
  • Discover Capabilities
  • Installation
  • Quickstart
  • Authentication
Core Mental Models
  • How BMO Thinks and Acts
  • Workflow Map
  • Staged Workflow
  • Adaptive Context
  • Adaptive Orchestration
  • Agent Mesh
  • Agent kinds
  • Compaction (idle-gated)
Practical Guides
  • Common Workflows
  • Keyboard Shortcuts
  • File Management
  • Git Workflows
  • Multi-Agent Workflows
  • Automation & Headless
  • Project Initialization
Features & Capabilities
  • Agent Debugger
  • Session Modes
  • Session mode autoselect (eval)
  • Choreography
  • TUI — phases vs activity
  • Operator questions
  • Reflection Loop
  • Auto-Debug
  • Smart Apply
  • Auto-Checkpoint
  • Shadow Evals
  • Quality orchestration
  • Persistent Memory
  • Flow Awareness
  • Context Pruning
  • Differentiated local body
  • Prompt Enhancer
  • Workspace Strategy Memory
  • Workspace trail
  • Semantic Code Search
  • Agent Skills
Reference
  • CLI Commands
  • Slash Commands
  • Tools
  • Agent kinds parity
  • Operating mode parity
  • Configuration
  • Prompt caching
  • Environment Variables
  • OpenAI-compatible API
  • OpenAI-compatible API gaps
Integration
  • Protocol support
  • LSP
  • MCP Client
  • MCP Server
  • Zed
  • A2A Protocol
  • Slack Gateway
  • Telemetry
  • Open WebUI
  • OpenAI-compatible API
Advanced Topics
  • Multi-Agent & Teams
  • Worktree Isolation
  • Execution Sandbox
  • Lifecycle Hooks
  • Phase Model Routing
Chapter 1.1

Overview

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Chapter 1.2

Discover Capabilities

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Chapter 1.3

Installation

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Chapter 1.4

Quickstart

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Chapter 1.5

Authentication

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Chapter 2.1

How BMO Thinks and Acts

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Chapter 2.2

Workflow Map

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Chapter 2.3

Staged Workflow

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Chapter 2.4

Adaptive Context

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Chapter 2.5

Adaptive Orchestration

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Chapter 2.6

Agent Mesh

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Chapter 2.7

Agent kinds

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Chapter 2.8

Compaction (idle-gated)

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Chapter 3.1

Common Workflows

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Chapter 3.2

Keyboard Shortcuts

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Chapter 3.3

File Management

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Chapter 3.4

Git Workflows

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Chapter 3.5

Multi-Agent Workflows

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Chapter 3.6

Automation & Headless

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Chapter 3.7

Project Initialization

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Chapter 4.1

Agent Debugger

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Chapter 4.2

Session Modes

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Chapter 4.3

Session mode autoselect (eval)

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Chapter 4.4

Choreography

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Chapter 4.5

TUI — phases vs activity

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Chapter 4.6

Operator questions

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Chapter 4.7

Reflection Loop

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Chapter 4.8

Auto-Debug

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Chapter 4.9

Smart Apply

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Chapter 4.10

Auto-Checkpoint

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Chapter 4.11

Shadow Evals

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Chapter 4.12

Quality orchestration

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Chapter 4.13

Persistent Memory

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Chapter 4.14

Flow Awareness

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Chapter 4.15

Context Pruning

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Chapter 4.16

Differentiated local body

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Chapter 4.17

Prompt Enhancer

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Chapter 4.18

Workspace Strategy Memory

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Chapter 4.19

Workspace trail

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Chapter 4.20

Semantic Code Search

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Chapter 4.21

Agent Skills

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Chapter 5.1

CLI Commands

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Chapter 5.2

Slash Commands

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Chapter 5.3

Tools

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Chapter 5.4

Agent kinds parity

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Chapter 5.5

Operating mode parity

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Chapter 5.6

Configuration

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Chapter 5.7

Prompt caching

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Chapter 5.8

Environment Variables

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Chapter 5.9

OpenAI-compatible API

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Chapter 5.10

OpenAI-compatible API gaps

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Chapter 6.1

Protocol support

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Chapter 6.2

LSP

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Chapter 6.3

MCP Client

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Chapter 6.4

MCP Server

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Chapter 6.5

Zed

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Chapter 6.6

A2A Protocol

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Chapter 6.7

Slack Gateway

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Chapter 6.8

Telemetry

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Chapter 6.9

Open WebUI

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Chapter 6.10

OpenAI-compatible API

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Chapter 7.1

Multi-Agent & Teams

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Chapter 7.2

Worktree Isolation

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Chapter 7.3

Execution Sandbox

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Chapter 7.4

Lifecycle Hooks

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Chapter 7.5

Phase Model Routing

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