The Open-Source GrokBot Alternative: DeepSeekBot, Compared

Most people searching "grokbot alternative" have already used Grok Bot: a team of always-on agents, each with a name and a job, running on someone else's cloud computer. It works well — with one catch. That is not your machine, and not code you can audit. This post answers one question: if you want an open-source, self-hosted replacement, what should you judge it on, and where does DeepSeekBot meet the bar — or miss it?

The short answer

• Grok Bot is a hosted service; DeepSeekBot is open-source software (MIT licensed) that runs on your own machine.
• Of the four hard requirements, the one people forget is who owns the memory. In DeepSeekBot, memory is an ordinary Git worktree you can diff, branch and push.
• Migration is four steps and rewrites nothing. But if your goal is "move to Telegram today", DeepSeekBot does not connect to Telegram yet — wait.

Why people look for a GrokBot alternative

• Where the data lives: the bots' files, conversations and accumulated context sit on the provider's side.
• Nothing to audit: you cannot read the source, and you cannot lift the whole thing onto your own server.
• Model lock-in: which model runs your bots is the provider's decision, not yours.
• Plans and billing: team and enterprise capabilities arrive through plans whose boundaries the provider draws.

(Grok Bot's exact capabilities and pricing are whatever x.ai's official pages say; this is a structural comparison only.)

Four hard requirements

1. Identity and persona: are the bots long-lived colleagues with names, character and judgement of their own?
2. The shape of memory: where does it live, who holds it, and can you open it yourself?
3. Teamwork: can several bots keep their own identity while working together, and can you wake only the one you need?
4. Self-hosting and model freedom: can it run on your hardware with the model you choose?

How DeepSeekBot maps to each

• Identity: every PersonaBot has its own name and avatar. In SOUL.md and core memory, SOUL.md holds persona, voice and working principles, while MEMORY.md holds core memory — both persist across conversations and folders.
• Memory: memory is a plain Git worktree. Browse memory files, branches, commits and diffs in the sidebar, push it to your own GitHub, and share one memory across machines.
• Teamwork: bring different bots into a Group; messages keep each sender's identity, and an @ mention wakes only the bot you address. Each member chooses every message, a digest, mentions only, or silent.
• Self-hosting and model freedom: DeepSeekBot is an npm package installed into the DeepSeek Harness (DSH) desktop app, so any model provider you configure in DSH is available to your bots. MIT licensed, source on GitHub.
• Two more: cross-folder work (authorize folders and one bot runs independent sessions in each) and schedules (run on a plan, pause any time, and lock one so the bot cannot change it — they fire while the app is running).

A side-by-side table

	Grok Bot	DeepSeekBot
Where it runs	The provider's cloud computer (hosted)	Your machine (self-hosted)
Source	Closed	MIT, readable on GitHub
Memory	Managed by the provider, context compounds	An ordinary Git worktree: read, branch, push
Models	Whatever the provider offers	Any provider configured in DSH
Teamwork	Team Bots, @bot on X	Several bots in a Group, each with its own identity and attention level
Surfaces	X, official desktop and mobile clients, Google Workspace integrations	WeChat / QQ / Lark / Slack / Discord
Billing	Plans, including team and enterprise	The software is free and open source; you pay for models and hardware

Four-step migration

1. No DeepSeek Harness yet? Download the DSH desktop app first.
2. Open DSH, click Plugins → Add plugin, enter deepseekbot, install it, then click Enable.
3. "Bot mode" appears in the sidebar. Create your first PersonaBot and write its SOUL.md and MEMORY.md.
4. Connect an IM: Lark/Feishu, Slack, Discord, or personal WeChat (WeChat only receives private chats from the person who scanned the QR code). The flow, from the latest source: configure the app connection, bind the external identity from the private chat sidebar, then send a test message.

Details live in the docs overview and installation.

When not to switch

• Your bots must live on X (@bot), or you depend on the official mobile client and Google Workspace integrations. Those are native to Grok Bot and have no equivalent here.
• You need Telegram. DeepSeekBot does not connect to it yet.
• You do not want to keep a machine running. Self-hosting means the hardware, the updates and the model bill are yours.

FAQ

Is DeepSeekBot free? The software is open source under the MIT license. You pay for model APIs and your own hardware.

Can I use my own model? Yes — any provider configured in DSH is available to your bots.

Where is the memory stored? On your machine, as a Git repository you can diff and roll back at any time.

Does it work for a team? Yes. In a Group every bot keeps its identity, and each member chooses their own attention level.

Try it from DSH: Plugins → Add plugin → deepseekbot, then start at the docs overview.