head to head · open source
AnythingLLM vs dsh-im
AnythingLLM has 67,415 GitHub stars, 7,553 forks, 311 open issues and last shipped yesterday. dsh-im has 2,292 stars, 237 forks, 64 open issues and last shipped 2 days ago. AnythingLLM leads on adoption by 2,841% (67,415 vs 2,292 stars). AnythingLLM is written in JavaScript under MIT; dsh-im is written in JavaScript under MIT. AnythingLLM has attracted 11% as many forks as stars, dsh-im 10%. AnythingLLM 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.
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Side by side
| AnythingLLM | dsh-im | |
|---|---|---|
| GitHub stars | ★ 67K | ★ 2.3K |
| License | MIT | MIT |
| Written in | JavaScript | JavaScript |
| Last push | 2026-10-22 | 2026-10-21 |
| Forks | ⑂ 7.6K | ⑂ 237 |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick AnythingLLM if
- You weight community size — 67K stars and counting
- You want the MIT license terms
- Your stack matches JavaScript
- You value the larger contributor base for long-term maintenance
pick dsh-im if
- You want the dsh-im feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches JavaScript
- You evaluated both and dsh-im fits your workflow better
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 dsh-im
让 DeepSeek Harness 触手可及 Connecting DeepSeek Harness 简体中文 · English [!NOTE] DSH IM 已获得 DeepSeek Harness 官方 Token 赞助，价值人民币 2,000 元 。感谢官方对本项目的支持！ 本项目由社区开发者独立开发与维护。 [!IMPORTANT] 安装请认准完整包名： @xmanrui/dsh im 为避免名称混淆，在插件市场搜索、插件安装框中填写或使用命令安装时，请复制下方完整包名。 选择对应的一条命令： Desktop 在内置终端执行， Web 在启动当前 Harness 的终端执行。 安装后重启 Desktop 或 dsh web ，Web 刷新浏览器，再打开「设置 → IM机器人」。 简介 通过扫码、App Manifest 或已有机器人凭据把 IM 机器人接入 DeepSeek Harness，并让本机 Harness 主动连接公网 AI Office。一个插件、一个设置入口，统一管理内置 IM 渠道和 AI Office Connector。 每个 IM 渠道都支持接入多个机器人 ，各机器人的连接状态、工作区、模型和会话绑定彼此独立；iMessage 是本机 Messages.app 身份接入的例外，详见iMessage 渠道说明。 Connect IM bots to DeepSeek Harness by…
read the full dsh-im overview →
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Frequently asked questions
Is AnythingLLM or dsh-im more popular?
AnythingLLM has 67,415 GitHub stars and dsh-im has 2,292. AnythingLLM has the larger community by that measure.
Are AnythingLLM and dsh-im free?
Both are open source. AnythingLLM is licensed under MIT and dsh-im under MIT. Neither carries a licence fee.
What is the difference between AnythingLLM and dsh-im?
AnythingLLM is written in JavaScript and dsh-im 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, AnythingLLM or dsh-im?
Choose AnythingLLM if you want the larger community (67,415 stars) or its MIT licence terms. Choose dsh-im if its feature set, stack or MIT licence fits better. Both are self-hostable.