head to head · open source

AnythingLLM vs Agentlas-OS

AnythingLLM has 67,940 GitHub stars, 7,660 forks, 311 open issues and last shipped yesterday. Agentlas-OS has 1,602 stars, 111 forks, 1 open issues and last shipped yesterday. AnythingLLM leads on adoption by 4,141% (67,940 vs 1,602 stars). AnythingLLM is written in JavaScript under MIT; Agentlas-OS is written in Python under Apache-2.0. AnythingLLM has attracted 11% as many forks as stars, Agentlas-OS 7%. AnythingLLM was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 4 topic tags (agent-orchestration, agentic-ai, ai-agents, computer-use), 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.

AnythingLLM ★ 68K Agentlas-OS ★ 1.6K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

AnythingLLM Agentlas-OS
GitHub stars ★ 68K ★ 1.6K
License MIT Apache-2.0
Written in JavaScript Python
Last push 2026-11-04 2026-11-04
Forks ⑂ 7.7K ⑂ 111
Self-hosting Yes Yes
Data ownership Your server Your server

pick AnythingLLM if

  • You weight community size — 68K stars and counting
  • You want the MIT license terms
  • Your stack matches JavaScript
  • You value the larger contributor base for long-term maintenance

full AnythingLLM profile →

pick Agentlas-OS if

  • You want the Agentlas-OS 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 Agentlas-OS fits your workflow better

full Agentlas-OS profile →

About AnythingLLM

[!NOTE] We are also working on Open Computer which gives an entire computer environment for AI Agents to use. This will bring AnythingLLM's agent capabilities to a new level and a novel UX paradigm for AI Agent use. ⭐ Star the repo to stay updated! AnythingLLM: The all in one AI app you were looking for. Chat with your docs, use AI Agents, hyper configurable, multi user, & no frustrating setup required. Docs Hosted Instance English · 简体中文 · 日本語 👉 AnythingLLM for desktop (Mac, Windows, & Linux)! Download Now Chat with your docs. Automate complex workflows with AI Agents. Hyper configurable, multi user ready…

read the full AnythingLLM overview →

About Agentlas-OS

Agentlas Give it a goal. It hires the team. A desktop AI agent that hires a specialist for every part of your project, does the work in your real apps, and keeps going for weeks. Steer it from your phone. macOS · Windows · Linux · Android · iOS coming soon 12,000+ desktop downloads · Free to download, runs on your own AI plan or key · Apache 2.0 Website · Agent Hub · Discord · Developers ↓ 한국어 · 中文 · 日本語 · हिन्दी Things people hand it It hires the right specialist for each part Agentlas writes a job opening for each part of the work and fills it from the agents on your computer, your private cloud and the free…

read the full Agentlas-OS overview →

More in AI & Machine Learning

Related comparisons

More AI Interaction & Interfaces projects

Compare either of these against the rest of the AI Interaction & Interfaces field.

Frequently asked questions

Is AnythingLLM or Agentlas-OS more popular?

AnythingLLM has 67,940 GitHub stars and Agentlas-OS has 1,602. AnythingLLM has the larger community by that measure.

Are AnythingLLM and Agentlas-OS free?

Both are open source. AnythingLLM is licensed under MIT and Agentlas-OS under Apache-2.0. Neither carries a licence fee.

What is the difference between AnythingLLM and Agentlas-OS?

AnythingLLM is written in JavaScript and Agentlas-OS 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, AnythingLLM or Agentlas-OS?

Choose AnythingLLM if you want the larger community (67,940 stars) or its MIT licence terms. Choose Agentlas-OS if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.