head to head · open source

kotaemon vs deepchat

kotaemon has 25,849 GitHub stars, 2,164 forks, 247 open issues and last shipped 4 months ago. deepchat has 6,385 stars, 770 forks, 8 open issues and last shipped yesterday. kotaemon leads on adoption by 305% (25,849 vs 6,385 stars). kotaemon is written in Python under Apache-2.0; deepchat is written in TypeScript under Apache-2.0. kotaemon has attracted 8% as many forks as stars, deepchat 12%. deepchat 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.

kotaemon ★ 26K deepchat ★ 6.4K category AI & Machine Learning

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Side by side

kotaemon deepchat
GitHub stars ★ 26K ★ 6.4K
License Apache-2.0 Apache-2.0
Written in Python TypeScript
Last push 2026-07-14 2026-11-02
Forks ⑂ 2.2K ⑂ 770
Self-hosting Yes Yes
Data ownership Your server Your server

pick kotaemon if

  • You weight community size — 26K stars and counting
  • You want the Apache-2.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full kotaemon profile →

pick deepchat if

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

full deepchat profile →

About kotaemon

kotaemon An open source clean & customizable RAG UI for chatting with your documents. Built with both end users and developers in mind. Live Demo 1 Live Demo 2 Online Install Colab Notebook (Local RAG) User Guide Developer Guide Feedback Contact Introduction This project serves as a functional RAG UI for both end users who want to do QA on their documents and developers who want to build their own RAG pipeline. For end users Clean & Minimalistic UI : A user friendly interface for RAG based QA. Support for Various LLMs : Compatible with LLM API providers (OpenAI, AzureOpenAI, Cohere, etc.) and local LLMs (via…

read the full kotaemon overview →

About deepchat

DeepChat Open Source Local First AI Agent Desktop Client DeepChat is an open source, local first AI agent desktop client with rich agent capabilities, designed around the Tape.systems philosophy, with support for MCP, Skills, ACP, and remote control integrations for messaging apps. 中文 / English / 日本語 ❤️ Sponsor Thanks to APIMart for sponsoring this project! APIMart is a low cost API platform for AI image & video generation — GPT Image 2 from $0.006/image, 160+ images per dollar. One async API covers both image and video: submit a task, get an ID, fetch results via polling or callback. Batch tens of thousands of…

read the full deepchat overview →

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Frequently asked questions

Is kotaemon or deepchat more popular?

kotaemon has 25,849 GitHub stars and deepchat has 6,385. kotaemon has the larger community by that measure.

Are kotaemon and deepchat free?

Both are open source. kotaemon is licensed under Apache-2.0 and deepchat under Apache-2.0. Neither carries a licence fee.

What is the difference between kotaemon and deepchat?

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

Which should I choose, kotaemon or deepchat?

Choose kotaemon if you want the larger community (25,849 stars) or its Apache-2.0 licence terms. Choose deepchat if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.