Happy: review, pricing, security and alternatives

What Happy does

Happy belongs to the chat interfaces family: multi-model chat interfaces, often self-hostable, with built-in tools, agents and MCP servers. On our grid it ranks #4 of the 17 projects of this family listed in the directory.

It is not an agent in itself: it is a component other agents use (memory, isolated execution, web access, model gateway or monitoring). You pick it based on the agent or framework it has to equip.

You use it from: terminal (CLI), web app, and mobile app. Usable models: Claude (Anthropic), GPT (OpenAI), and Grok (xAI). It can run on your own machine or server.

Who is Happy for?

It targets people who want a single chat interface for several models, often self-hosted, with tools and agents plugged in. Typical tasks people give it:

• chat with several models from one window
• share an internal assistant with a team
• connect documents and tools to the chat

It is a good candidate if you are comfortable in a terminal and your data must stay on your machines.

Access and human control

Its documentation does not detail the access granted to the agent: check the settings before connecting it to your accounts.

We could not establish whether it asks for human approval before sensitive actions: test it first on an unimportant account or folder.

Happy pricing

The code is free, under the MIT licence.

Getting started with Happy

1. Install it: the project ships as a Node.js package (install with npm, or run directly with npx). The exact command is in the repository README.
2. Start with the minimal example from the docs, then add one tool at a time and check what the agent does with it.
3. Give it a short, checkable task, review the result and its action log, then raise the difficulty step by step.

Security: risk level

The interface stores your API keys and conversation history: protect its access and backups.

Three habits: least privilege (minimal rights, dedicated keys), human approval for irreversible actions, a sandbox for code execution. The AI agent security check reviews your setup in a few minutes.

Project activity and releases

Created on July 18, 2025, the slopus/happy repository has 24,292 stars, 2,082 forks and 664 open issues, with 3,576 commits in total. It received changes this month.

Over the last 52 weeks: 2,020 commits, an average of 38.8 per week.

16 releases in total; 10 in the last twelve months. Latest release: cli-1.2.5, on September 22, 2026.

Happy vs other chat interfaces

GitHub stars of the best-rated open-source projects in the chat interfaces family. Stars measure attention, not quality: a heavily promoted project collects them fast, a specialised tool will have few.

Happy and other chat interfaces at a glance

The 7 best-ranked agents in the same family, 7 of them open source. The score out of 100 only applies to open-source projects; for proprietary services we show the published entry price. A dash marks information the documentation does not state.

How we rated it

Score: 84/100, computed only from public, verifiable data, with no subjective testing or partnership:

• Adoption 29/40: 24,292 stars on a log scale (40 points from about 200,000).
• Activity 30/30: last commit less than a month ago, 7 releases in six months, 2,020 commits in a year.
• Framework 25/30: licence, default human approval, self-hosting, model choice and documentation site.

The score does not say whether the agent will succeed at your tasks: it measures how solid the project is. The full grid is on the method page.