Apache Maka: review, pricing, security and alternatives

What Apache Maka does

Apache Maka 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 #15 of the 17 projects of this family listed in the directory.

You use it from: terminal (CLI) and desktop app. It can run on your own machine or server.

Who is Apache Maka 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.

Apache Maka pricing

The code is free, under the Apache-2.0 licence.

Getting started with Apache Maka

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. Create an API key with the model provider and put it in an environment variable, never in a shared or versioned file.
3. Give it a first playground with nothing at stake: a test folder, a secondary account or a throwaway project. Only open your real accounts once you have seen how it behaves.
4. 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 May 27, 2026, the apache/maka repository has 5,869 stars, 563 forks and 230 open issues, with 5,157 commits in total. It received changes this month.

Over the last 52 weeks: 4,825 commits, an average of 92.8 per week.

The project publishes no numbered releases on GitHub: you install it from the main branch or a package manager.

Apache Maka 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.

Apache Maka 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: 56/100, computed only from public, verifiable data, with no subjective testing or partnership:

• Adoption 21/40: 5,869 stars on a log scale (40 points from about 200,000).
• Activity 20/30: last commit less than a month ago, 0 releases in six months, 4,825 commits in a year.
• Framework 15/30: 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.