head to head · open source

Agenta vs Compartment

Agenta has 4,891 GitHub stars, 725 forks, 309 open issues and last shipped yesterday. Compartment has 580 stars, 8 forks, 1 open issues and last shipped 16 days ago. Agenta leads on adoption by 743% (4,891 vs 580 stars). Agenta is written in TypeScript under a custom or non-standard licence; Compartment is written in Python under Apache-2.0. Agenta has attracted 15% as many forks as stars, Compartment 1%. Agenta 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.

Agenta ★ 4.9K Compartment ★ 580 category AI & Machine Learning

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Side by side

Agenta Compartment
GitHub stars ★ 4.9K ★ 580
License Custom / other Apache-2.0
Written in TypeScript Python
Last push 2026-11-04 2026-10-20
Forks ⑂ 725 ⑂ 8
Self-hosting Yes Yes
Data ownership Your server Your server

pick Agenta if

  • You weight community size — 4.9K stars and counting
  • You want the Custom / other license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full Agenta 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 Agenta

The open source workspace for building and running agents Build agents that automate your work by chatting with them. Share them with your team , connect them to the apps you use, and run them in the background . Documentation • Website • Agenta Cloud What is Agenta? Agenta is an open source workspace where you build specialized agents that automate and augment your work. You build agents by chatting with them. You describe the work, connect the apps they need, and improve them through feedback. You can work with your agents directly in chat and share them with your team. For recurring work, you can…

read the full Agenta 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 →

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Frequently asked questions

Is Agenta or Compartment more popular?

Agenta has 4,891 GitHub stars and Compartment has 580. Agenta has the larger community by that measure.

Are Agenta and Compartment free?

Both are open source. Agenta has no licence declared in this registry, and Compartment is licensed under Apache-2.0. Both are free to self-host.

What is the difference between Agenta and Compartment?

Agenta is written in TypeScript 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, Agenta or Compartment?

Choose Agenta if you want the larger community (4,891 stars) or its Custom / other licence terms. Choose Compartment if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.