head to head · open source

LibreChat vs SenseNova-Skills

LibreChat has 46,705 GitHub stars, 9,610 forks, 732 open issues and last shipped yesterday. SenseNova-Skills has 6,011 stars, 433 forks, 26 open issues and last shipped 2 days ago. LibreChat leads on adoption by 677% (46,705 vs 6,011 stars). LibreChat is written in TypeScript under MIT; SenseNova-Skills is written in JavaScript under MIT. LibreChat has attracted 21% as many forks as stars, SenseNova-Skills 7%. LibreChat 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.

LibreChat ★ 47K SenseNova-Skills ★ 6.0K category AI & Machine Learning

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Side by side

LibreChat SenseNova-Skills
GitHub stars ★ 47K ★ 6.0K
License MIT MIT
Written in TypeScript JavaScript
Last push 2026-11-04 2026-11-03
Forks ⑂ 9.6K ⑂ 433
Self-hosting Yes Yes
Data ownership Your server Your server

pick LibreChat if

  • You weight community size — 47K stars and counting
  • You want the MIT license terms
  • Your stack matches TypeScript
  • You value the larger contributor base for long-term maintenance

full LibreChat profile →

pick SenseNova-Skills if

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

full SenseNova-Skills profile →

About LibreChat

LibreChat English · 中文 🚀 What's New in v0.8.8 rc2 Agent run control: Interrupt an Agent before visible answer text, steer runs with files and quoted excerpts, durably queue follow ups, and recover saved partial work with Keep going or Answer now . Agent activity: Optional generated labels group reasoning and tool work, fold completed groups into live phase cards, keep generated files visible, summarize multi step phases, and show the current reasoning direction. Human in the loop Agents: Stream up to four related questions, pause for input or tool approval, and resume durably. Unified Agent Builder: Configure…

read the full LibreChat overview →

About SenseNova-Skills

SenseNova Skills English 简体中文 The SenseNova model family plugs directly into agent runtimes such as OpenClaw and hermes agent, with the skills in this repository extending the models with concrete, end to end office capabilities. In this repository each skill lives in its own directory and declares triggers, capabilities, and execution flow through a SKILL.md file, following the Agent Skills convention. The skills cover image generation & visualization , slide deck (PPT) generation , Excel data analysis , deep research , HTML experiences , team collaboration , and proactive project tracking — usable standalone…

read the full SenseNova-Skills overview →

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Frequently asked questions

Is LibreChat or SenseNova-Skills more popular?

LibreChat has 46,705 GitHub stars and SenseNova-Skills has 6,011. LibreChat has the larger community by that measure.

Are LibreChat and SenseNova-Skills free?

Both are open source. LibreChat is licensed under MIT and SenseNova-Skills under MIT. Neither carries a licence fee.

What is the difference between LibreChat and SenseNova-Skills?

LibreChat is written in TypeScript and SenseNova-Skills 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, LibreChat or SenseNova-Skills?

Choose LibreChat if you want the larger community (46,705 stars) or its MIT licence terms. Choose SenseNova-Skills if its feature set, stack or MIT licence fits better. Both are self-hostable.