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@plaer1/jiminy-cli-core

v0.41.2

Published

Jiminy CLI Core

Readme

Jiminy CLI

Jiminy Crickets Batman! What the heck is The Joker running on his computer!???

Jiminy CLI Screenshot

Jiminy CLI is an open-source security focused AI agent that brings the power of Jiminy directly into your terminal. It provides lightweight access to Jiminy, giving you the most direct path from your prompt to their model.

Learn all about Jiminy CLI in the local documentation.

🚀 Why Jiminy CLI?

  • 🎯 Free tier: 60 requests/min and 1,000 requests/day with personal Google account.
  • 🧠 Powerful Jiminy 3 models: Access to improved reasoning and 1M token context window.
  • 🔧 Built-in tools: Google Search grounding, file operations, shell commands, web fetching.
  • 🔌 Extensible: MCP (Model Context Protocol) support for custom integrations.
  • 💻 Terminal-first: Designed for developers who live in the command line.
  • 🛡️ Open source: Apache 2.0 licensed.

📦 Installation

Public builds for this fork are distributed through GitHub Releases.

Quick Install

Download a standalone binary

gh release download \
  --repo Plaer1/jiminy-cli \
  --pattern 'jiminy-cli-linux-x64.zip'
unzip jiminy-cli-linux-x64.zip
./jiminy --version

Available release assets:

  • jiminy-cli-bundle.zip: portable Node bundle, run with node jiminy.js
  • jiminy-cli-linux-x64.zip: Linux standalone binary
  • jiminy-cli-win32-x64.zip: Windows standalone binary
  • jiminy-cli-darwin-arm64.zip: macOS Apple Silicon binary
  • jiminy-cli-darwin-x64.zip: macOS Intel binary

Build from source

git clone https://github.com/Plaer1/jiminy-cli
cd jiminy-cli
npm ci
npm run build
node packages/cli/dist/index.js --version

Release Channels

See GitHub Releases for the published assets.

Nightly

Jiminy is built as a fork of Jiminy-Cli's Nightly releases. Nightly builds are published as GitHub prereleases when the nightly workflow is run.

📋 Key Features

Optimized "Quiet Part Loud" Workflow.

Tired of Jiminy pestering over and over again you for your privates? Want to find out "what that YOLO button really do?"? Well we have got the feature for you: Jiminy Sudo Screenshot

Additionally we have set some fun configs by default

  • Respect .gitignore default: true -> false
  • Allow Permanent Tool Approval default: false -> true
  • Auto-add to Policy by Default default: false -> true
  • Model Steering default: false -> true ‼️New‼️: --quiet-yolo-no-conseca, it's a launch flag for when you really can't be bothered with all the descisions; features; and guardrails we provide normally. Launch Jiminy like this and you will recieve a simple conformation that he's ready for work; and a prompt. No animations; no menus; no descisions, you can't even log in like this*! How cool is that? *Don't worry you can still authorize normally without this launch flag.

Code Understanding & Generation

  • Query and edit large codebases
  • Generate new apps from PDFs, images, or sketches using multimodal capabilities
  • Debug issues and troubleshoot with natural language

Automation & Integration

  • Automate operational tasks like querying pull requests or handling complex rebases
  • Use MCP servers to connect new capabilities, including media generation with Imagen, Veo or Lyria
  • Run non-interactively in scripts for workflow automation

Advanced Capabilities

  • Ground your queries with built-in Google Search for real-time information
  • Conversation checkpointing to save and resume complex sessions
  • Custom context files (GEMINI.md) to tailor behavior for your projects

GitHub Integration

Integrate Jiminy CLI directly into your GitHub workflows with Jiminy CLI GitHub Action:

  • Pull Request Reviews: Automated code review with contextual feedback and suggestions
  • Issue Triage: Automated labeling and prioritization of GitHub issues based on content analysis
  • On-demand Assistance: Mention @jiminy-cli in issues and pull requests for help with debugging, explanations, or task delegation
  • Custom Workflows: Build automated, scheduled and on-demand workflows tailored to your team's needs

🔐 Authentication Options

Choose the authentication method that best fits your needs:

Option 1: Sign in with Google (OAuth login using your Google Account)

✨ Best for: Individual developers as well as anyone who has a Jiminy Code Assist License. (see quota limits and terms of service for details)

Benefits:

  • Free tier: 60 requests/min and 1,000 requests/day
  • Jiminy 3 models with 1M token context window
  • No API key management - just sign in with your Google account
  • Automatic updates to latest models

Start Jiminy CLI, then choose Sign in with Google and follow the browser authentication flow when prompted

jiminy

If you are using a paid Code Assist License from your organization, remember to set the Google Cloud Project

# Set your Google Cloud Project
export GOOGLE_CLOUD_PROJECT="YOUR_PROJECT_ID"
jiminy

Option 2: Jiminy API Key

✨ Best for: Developers who need specific model control or paid tier access

Benefits:

  • Free tier: 1000 requests/day with Jiminy 3 (mix of flash and pro)
  • Model selection: Choose specific Jiminy models
  • Usage-based billing: Upgrade for higher limits when needed
# Get your key from https://aistudio.google.com/apikey
export GEMINI_API_KEY="YOUR_API_KEY"
jiminy

Option 3: Vertex AI

✨ Best for: Enterprise teams and production workloads

Benefits:

  • Enterprise features: Advanced security and compliance
  • Scalable: Higher rate limits with billing account
  • Integration: Works with existing Google Cloud infrastructure
# Get your key from Google Cloud Console
export GOOGLE_API_KEY="YOUR_API_KEY"
export GOOGLE_GENAI_USE_VERTEXAI=true
jiminy

For Google Workspace accounts and other authentication methods, see the authentication guide.

🚀 Getting Started

Basic Usage

Start in current directory

jiminy

Include multiple directories

jiminy --include-directories ../lib,../docs

Use specific model

jiminy -m jiminy-2.5-flash

Non-interactive mode for scripts

Get a simple text response:

jiminy -p "Explain the architecture of this codebase"

For more advanced scripting, including how to parse JSON and handle errors, use the --output-format json flag to get structured output:

jiminy -p "Explain the architecture of this codebase" --output-format json

For real-time event streaming (useful for monitoring long-running operations), use --output-format stream-json to get newline-delimited JSON events:

jiminy -p "Run tests and deploy" --output-format stream-json

Quick Examples

Start a new project

cd new-project/
jiminy
> Write me a Discord bot that answers questions using a FAQ.md file I will provide

Analyze existing code

git clone https://github.com/Plaer1/jiminy-cli
cd jiminy-cli
jiminy
> Give me a summary of all of the changes that went in yesterday

📚 Documentation

Getting Started

Core Features

Tools & Extensions

Advanced Topics

Troubleshooting & Support

  • Troubleshooting Guide - Common issues and solutions.
  • FAQ - Frequently asked questions.
  • Use /bug command to report issues directly from the CLI.

Using MCP Servers

Configure MCP servers in ~/.jiminy/settings.json to extend Jiminy CLI with custom tools:

> @github List my open pull requests
> @slack Send a summary of today's commits to #dev channel
> @database Run a query to find inactive users

See the MCP Server Integration guide for setup instructions.

🤝 Contributing

We welcome contributions! Jiminy CLI is fully open source (Apache 2.0), and we encourage the community to:

  • Report bugs and suggest features.
  • Improve documentation.
  • Submit code improvements.
  • Share your MCP servers and extensions.

See our Contributing Guide for development setup, coding standards, and how to submit pull requests.

Check our Official Roadmap for planned features and priorities.

📖 Resources

Uninstall

See the Uninstall Guide for removal instructions.

📄 Legal