AI to help you with Harper app creation and management.

Prerequisites

• Node.js (v24 or higher recommended)
• An API key for your preferred AI model:
  • OpenAI: https://platform.openai.com/api-keys
  • Anthropic: https://console.anthropic.com/settings/keys
  • Google Gemini: https://aistudio.google.com/app/apikey
  • Ollama: (No API key required, see Ollama Support below)

Getting Started

When you first run harper-agent, it will guide you through setting up your environment.

It will then automatically save it to either ~/.harper/harper-agent-env or your local .env file in your current working directory.

Now install harper-agent:

npm install -g @harperfast/agent

Or run it with npx:

npx -y @harperfast/agent

You're ready to go!

Usage

Once installed or running, you can ask harper-agent to help you with tasks in your current directory, such as applying patches or managing your Harper application.

Press Ctrl+C or type "/exit" or hit enter twice to exit.

Slash Commands

Harper Agent supports several slash commands for common tasks:

• /clear: Resets the chat history.
• /skills: Installs recommended agent skills via npx skills add harperfast/skills.
• /exit: Exits the agent.

Non-interactive: pass an initial prompt

You can pass an initial --prompt=. Harper Agent will turn that into an actionable plan, and then it will iterate until it completes it.

harper-agent --prompt="Write a poem generation app, please"

In this mode, the initial greeting question is suppressed, and the agent processes the provided prompt immediately.

Manual Environment Configuration

If you prefer to set up your environment manually, you can create a .env file:

# For OpenAI (default)
OPENAI_API_KEY=your_api_key_here

# For Anthropic
ANTHROPIC_API_KEY=your_api_key_here

# For Google Gemini
GOOGLE_GENERATIVE_AI_API_KEY=your_api_key_here

(If you'd rather export these environment variables from within your .zshrc or equivalent file, you can do that instead.)

Model Selection

When you first fire up Harper Agent, it will ask you what model you want to use. You can also control this with command line arguments:

# Use Claude 3.5 Sonnet
harper-agent --model claude-4-6-opus-latest

# Use Gemini 1.5 Pro
harper-agent --model gemini-3-pro

# Use a specific OpenAI model
harper-agent --model gpt-5.2

Or you can set the default model via the HARPER_AGENT_MODEL environment variable in your .env file or in ~/.harper/harper-agent-env

Compaction Model

A smaller model will be used for compaction, depending on your chosen LLM provider. You can specify your model using the --compaction-model (or -c) flag:

# Use a different compaction model
harper-agent --compaction-model claude-4-5-haiku-latest

You can also set the default compaction model via the HARPER_AGENT_COMPACTION_MODEL environment variable.

Session Persistence

Harper Agent will ask if it can persist your chat session to a JSON database on disk using the --session (or -s) flag:

# Persist session to a file
harper-agent --session ./my-session.db

This will save all conversation history to the specified file. If the file already exists, harper-agent will resume the session from where you left off.

You can also set the default session path via the HARPER_AGENT_SESSION environment variable.

Service Tier (OpenAI Only)

By default, harper-agent uses the auto service tier. You can force the flex tier to be used with the --flex-tier flag:

# Use flex service tier
harper-agent --flex-tier

Forcing the flex tier can help reduce costs, although it may result in more frequent errors during periods of high system load.

You can also set this via the HARPER_AGENT_FLEX_TIER=true environment variable.

Ollama Support (Local Models)

To use local models with Ollama, use the ollama- prefix:

# Use Llama 3 via Ollama
harper-agent --model ollama-qwen2.5-coder

If your Ollama instance is running on a custom URL, you can set the OLLAMA_BASE_URL environment variable:

export OLLAMA_BASE_URL=http://localhost:11434
harper-agent --model ollama-qwen2.5-coder

OpenAI API Key Permissions

If you are using a restricted API key, ensure the following permissions are enabled:

• Models: Write access for gpt-5.2 (the main model) and gpt-5-nano (the memory summarizer)
• Model capabilities: Write (to allow tool calling and completions).

No other permissions (like Assistants, Threads, or Files) are required as harper-agent runs its tools locally.

Contributing to Our Development

If you want to help us advance the source code that powers harper-agent, take a look at the steps below!

Local Development

Setup

1. Clone the repository.
2. Install dependencies:

   npm install

3. Create a .env file in the root directory and add your API key:

   OPENAI_API_KEY=your_api_key_here
   # OR ANTHROPIC_API_KEY / GOOGLE_GENERATIVE_AI_API_KEY
   HARPER_AGENT_SKIP_UPDATE=true

Running the Agent

To use the harper-agent command globally from your local source so you can use it on other projects:

npm link

Now you can run harper-agent from any directory.