Ii Agent

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II Agent

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II-Agent is an open-source AI agent built for real work — now out of beta. 100% open source under the Apache-2.0 license.

Whether you're a solo developer, a research team, or an enterprise building internal tooling — you can run it, fork it, and extend it. No black boxes. No vendor lock-in. Bring your own API keys (BYOK) for full control over cost and model providers.

Try the web app | Join our Discord

Introduction

https://github.com/user-attachments/assets/430425c4-2352-4101-9fdb-46bdfc63d26a

Key Features

Build

• Mobile App Development — Go from a short prompt to a full mobile application
• Website App Development — Go from a short prompt to a full website application
• Storybook Generation — Create fully illustrated picture books from a single prompt
• Video & Image Generation — Multiple model support within one workflow
• Live Editing — Real-time editing for websites, slides, and storybooks
• Plan Mode — Visual project planning before building

Research

• Fast Research & Deep Research — Quick answers or multi-step investigations
• Interactive Website Generation — Turn research briefs into complete websites with structure, visuals, citations, and embedded Q&A

Automate & Integrate

• Built-in & Custom Skills — Reuse workflows and connect GitHub-based processes
• App Integrations — Gmail, Slack, GitHub, Notion, Google Calendar, Discord, Dropbox, Canva, and more
• Faster Execution — Significantly improved speed compared to earlier beta iterations

Everything Else

Domain	Capabilities
Chat	Multi-model conversations (switch providers mid-thread), file attachments, code interpreter, text file search
Agent	General tasks with multi-step task planning
Documents	PDF extraction & creation, Excel formulas & charts, Word editing, PowerPoint manipulation
Slides	Prompt-to-deck creation with live collaborative editing and templates

Installation

Prerequisites

• Docker — Install Docker
• uv — curl -LsSf https://astral.sh/uv/install.sh | sh
• Node.js & npm — Install Node.js (or use nvm)

Quick Start

# 1. Clone the repository
git clone https://github.com/Intelligent-Internet/ii-agent.git
cd ii-agent

# 2. Run first-time setup (creates .env files + installs deps)
make setup

# 3. Configure your LLM API keys
#    Edit .env and set at least one LLM provider:

#    Option A: Inline JSON in .env
#    MODEL_CONFIGS='[{"model_id":"claude-sonnet-4-6","provider":"Anthropic","api_key":"sk-ant-...","display_name":"Claude Sonnet 4","is_default":true}]'

#    Option B: YAML config file
#    Copy model_configs.example.yaml to model_configs.yaml, fill in your keys,
#    then set MODEL_CONFIGS_FILE=model_configs.yaml in .env

# 4. Start everything (infra + backend + frontend)
make dev-all

This starts:

• Backend at http://localhost:8000
• Frontend at http://localhost:1420
• PostgreSQL at localhost:5432
• Redis at localhost:6379
• MinIO (S3-compatible storage) at http://localhost:9001 (minioadmin/minioadmin)

Configuration Files

File	Created from	Purpose
.env	.env.example	Backend config: database, Redis, storage, auth, LLM keys
frontend/.env	frontend/.env.example	Frontend config: API URL, Google OAuth, theme
model_configs.yaml	model_configs.example.yaml	LLM model definitions (alternative to inline JSON in .env)

LLM Providers

II-Agent supports multiple LLM providers. Configure them in model_configs.yaml or via MODEL_CONFIGS in .env:

Provider	Example model_id	Notes
OpenAI	gpt-5.4	Requires api_key
Anthropic	claude-opus-4-6	Direct API or Vertex AI
Google	gemini-3.1-pro-preview	Direct API or Vertex AI

See model_configs.example.yaml for full configuration options including Vertex AI, Azure, and self-hosted models.

Useful Make Commands

make help             # Show all available commands
make dev-all          # Start everything (infra + backend + frontend)
make infra            # Start only Postgres, Redis, MinIO
make backend-dev      # Start backend only (port 8000)
make frontend-dev     # Start frontend only (port 5173)
make db-migrate       # Run database migrations
make lint             # Lint backend + frontend
make format           # Auto-format backend + frontend
make test             # Run all tests
make stack            # Start full stack via Docker Compose

Docker Compose (Full Stack)

To run everything in Docker (no local Python/Node required):

# Copy and edit the stack env file
cp docker/.stack.env.example docker/.stack.env
# Edit docker/.stack.env with your credentials

make stack            # Start full stack
make stack-build      # Start with --build (rebuild images)
make stack-down       # Stop and clean up
make stack-logs       # Tail all logs

Additional Resources

For more details, refer to our official guide

https://github.com/user-attachments/assets/d1fa7cde-06cc-4103-bed0-d4ad5e640de4