head to head · open source

LobeChat vs open-spaces

LobeChat has 83,063 GitHub stars, 15,958 forks, 922 open issues and last shipped yesterday. open-spaces has 3,394 stars, 496 forks, 0 open issues and last shipped yesterday. LobeChat leads on adoption by 2,347% (83,063 vs 3,394 stars). LobeChat is written in TypeScript under a custom or non-standard licence; open-spaces is written in JavaScript under MIT. LobeChat has attracted 19% as many forks as stars, open-spaces 15%. LobeChat was the more recently maintained of the two, and both are self-hostable with no licence fee.

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

LobeChat ★ 83K open-spaces ★ 3.4K category AI & Machine Learning

← all 20902 open source comparisons

Side by side

LobeChat open-spaces
GitHub stars ★ 83K ★ 3.4K
License Custom / other MIT
Written in TypeScript JavaScript
Last push 2026-10-08 2026-10-08
Forks ⑂ 16K ⑂ 496
Self-hosting Yes Yes
Data ownership Your server Your server

pick LobeChat if

  • You weight community size — 83K 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 LobeChat profile →

pick open-spaces if

  • You want the open-spaces feature set and don't need the biggest community
  • You prefer the MIT license terms
  • Your stack matches JavaScript
  • You evaluated both and open-spaces fits your workflow better

full open-spaces profile →

About LobeChat

LobeHub is an open source platform for managing, building, and operating AI agent teams. It functions as a Chief Agent Operator (CAO), enabling users to organize, schedule, and monitor autonomous AI agents around the clock. The project lives in the AI interaction and interfaces ecosystem, integrating with major LLM providers like OpenAI, Anthropic, DeepSeek, and Alibaba’s GLM series.

read the full LobeChat overview →

About open-spaces

OpenSpaces is a free, MIT licensed, self hostable AI workspace that brings shared Spaces, editable pages, conversations, and AI tools into one application, aimed at individuals and teams who want an open alternative to ChatGPT Spaces running on their own infrastructure.

read the full open-spaces overview →

More in AI & Machine Learning

OpenClaw ★ 391K Hermes Agent ★ 252K Ollama ★ 182K ponytail ★ 158K Dify ★ 158K Open WebUI ★ 154K

Related comparisons

openclaw vs lobechat openclaw vs hermes-agent openclaw vs opencode openclaw vs n8n openclaw vs open-webui openclaw vs comfyui openclaw vs odysseus openclaw vs anythingllm openclaw vs ollama ollama vs llama-cpp ollama vs vllm ollama vs odysseus ollama vs gpt4all ollama vs llama-index ollama vs localai open-webui vs gpt4all openclaw vs dify openclaw vs multica openclaw vs langgraph n8n vs dify dify vs langflow dify vs open-webui dify vs langchain dify vs ponytail

More AI Interaction & Interfaces projects

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

LobeChat vs OpenClaw LobeChat vs Hermes Agent LobeChat vs Open WebUI LobeChat vs ComfyUI LobeChat vs odysseus LobeChat vs AnythingLLM LobeChat vs Cherry Studio LobeChat vs nanobot LobeChat vs LibreChat LobeChat vs Jan LobeChat vs chatbox LobeChat vs openhuman

Frequently asked questions

Is LobeChat or open-spaces more popular?

LobeChat has 83,063 GitHub stars and open-spaces has 3,394. LobeChat has the larger community by that measure.

Are LobeChat and open-spaces free?

Both are open source. LobeChat has no licence declared in this registry, and open-spaces is licensed under MIT. Both are free to self-host.

What is the difference between LobeChat and open-spaces?

LobeChat is written in TypeScript and open-spaces in JavaScript. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, LobeChat or open-spaces?

Choose LobeChat if you want the larger community (83,063 stars) or its Custom / other licence terms. Choose open-spaces if its feature set, stack or MIT licence fits better. Both are self-hostable.