head to head · open source

Olares vs Compartment

Olares has 5,339 GitHub stars, 331 forks, 155 open issues and last shipped 2 days ago. Compartment has 580 stars, 8 forks, 1 open issues and last shipped 16 days ago. Olares leads on adoption by 821% (5,339 vs 580 stars). Olares is written in Go under AGPL-3.0; Compartment is written in Python under Apache-2.0. Olares has attracted 6% as many forks as stars, Compartment 1%. Olares was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai-agents), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

Olares ★ 5.3K Compartment ★ 580 category AI & Machine Learning

← all 20902 open source comparisons

Side by side

Olares Compartment
GitHub stars ★ 5.3K ★ 580
License AGPL-3.0 Apache-2.0
Written in Go Python
Last push 2026-11-03 2026-10-20
Forks ⑂ 331 ⑂ 8
Self-hosting Yes Yes
Data ownership Your server Your server

pick Olares if

  • You weight community size — 5.3K stars and counting
  • You want the AGPL-3.0 license terms
  • Your stack matches Go
  • You value the larger contributor base for long-term maintenance

full Olares profile →

pick Compartment if

  • You want the Compartment feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and Compartment fits your workflow better

full Compartment profile →

About Olares

Olares Your AI Agent. Your Data. Your Hardware. Install Olares · Manage Olares with AI · Contribute Olares is an open source personal cloud OS you operate in plain language, built to run AI agents and LLMs on hardware you own. Powered by Kubernetes, it turns your machines into a self hosted AI platform accessible from any browser, giving everyone from individual users to small teams a unified place for compute, storage, networking, and apps. 🌟 If Olares is useful to you, consider giving the project a star. Your support encourages us to keep improving it. Why Olares Great AI needs to know you. That requires…

read the full Olares overview →

About Compartment

Compartment Encrypted, fully offline memory for AI agents. One vault on your own computer, read and written by Claude Code, Claude Desktop, Hermes Agent, OpenClaw, Cursor, Codex and any other MCP client. No API key, no account, no network, no telemetry. One click install (after pip install compartment && compartment init ): Claude Code, Claude Desktop, Hermes Agent and OpenClaw are wired by one command instead: compartment integrate claude , hermes or openclaw . Compartment is persistent memory for AI agents, stored on your own computer. What an agent learns in one session is available in every later session, in…

read the full Compartment overview →

More in AI & Machine Learning

Related comparisons

More Machine Learning Infrastructure projects

Compare either of these against the rest of the Machine Learning Infrastructure field.

Frequently asked questions

Is Olares or Compartment more popular?

Olares has 5,339 GitHub stars and Compartment has 580. Olares has the larger community by that measure.

Are Olares and Compartment free?

Both are open source. Olares is licensed under AGPL-3.0 and Compartment under Apache-2.0. Neither carries a licence fee.

What is the difference between Olares and Compartment?

Olares is written in Go and Compartment in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, Olares or Compartment?

Choose Olares if you want the larger community (5,339 stars) or its AGPL-3.0 licence terms. Choose Compartment if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.