- rakazo: Best for teams that want the full Grok Bot architecture, persistent named agents with browser and terminal access, with complete control over the model and compute provider.
- openmausbot: Best for individuals who want a local-first Grok Bot running on the Claude, Codex or Grok CLIs they already subscribe to.
- openbot: Best for security-conscious teams that need per-agent container isolation and a policy-gated audit trail for every action.

Open-source alternatives guide
Best Open Source Grok Bot Alternatives
I compared eight open source alternatives to Grok Bot, xAI's agentic product where named bots share a cloud computer with a browser, a filesystem and a terminal, not the Grok chatbot. This guide is for the reader who looked at that pitch, found that access starts at $20 a month with no free tier, and wants to know whether a self-hosted stack can do the same work without the closed source code, the shared-computer credential model, or the vendor-controlled usage limits. I read xAI's Grok Bot documentation and went through each README to compare these eight projects on per-agent isolation, approval controls, memory, scheduled routines, and where you talk to the agent. The answer depends on whether you need named persistent teammates, a policy-gated audit trail, or an agent that already lives in the messaging app you use every day.
TL;DR
Pain points
Why people leave Grok Bot
The practical reasons teams compare Grok Bot with open-source alternatives before they migrate.
Grok Bot is xAI's agentic product, not the Grok chatbot you use for questions and image generation on grok.com. Half the pages ranking for "grok bot alternatives" list ChatGPT and DeepSeek, which are chatbot replacements for the wrong product.
The best open source alternative to Grok Bot is rakazo, and I ranked it first because it is the closest architectural match: persistent named agents with their own memory, routines and history, browser and terminal access, pluggable compute and model providers, and clients for web, desktop and mobile. It is Apache-2.0 licensed and you self-host the full stack.
Five decisions built into Grok Bot's design explain why people go looking for an alternative.
The shared computer is a feature with a security cost. xAI's overview page states that all your bots use the same persistent cloud computer, sharing files, browser sessions and app logins. The security page warns: "Do not use separate Bots as a security boundary." If one bot has access to a credential, every other bot on your account can reach it.
There is no free tier. Access starts at $20 a month on Cursor Pro. Free, X Premium ($8/month) and SuperGrok Lite ($10/month) users get no Grok Bot access at all. There is no way to evaluate the product on an individual plan without a paid subscription.
The code is closed and the model is fixed. You cannot self-host Grok Bot or inspect its source, and xAI documents no way to substitute the underlying model. Your bots run on xAI's infrastructure under xAI's terms, and xAI does not document an export path for the skills and routines you build.
Consumer accounts have no audit view. You cannot see a record of what your bots did or what they accessed. Enterprise accounts, available since September 3, get audit logs and Action Recording. Individual subscribers get neither.
Soft deletion leaves state behind. The same security page says: "Deleting a Bot does not remove shared-computer files or browser sessions." Removing a bot from your roster does not clean up the files and logins it left on the shared machine.
openmausbot handles the credentials problem differently: every secret you configure is stored locally and the UI only ever shows a "configured" flag, never the value. If credential isolation is the sticking point, that is where I would start.
At a glance
Quick comparison
| Name | License | Hosting | Best For |
|---|---|---|---|
| rakazo | Apache-2.0 | Docker/self-hosted | Closest architectural Grok Bot match |
| OpenMausBot | Apache-2.0 | Needs hosting review | Local-first agent team on your existing CLI subscriptions |
| OpenBot | MIT | Docker/self-hosted | Per-agent isolation with a policy-gated audit trail |
| openhuman | GPL-3.0 | Needs hosting review | Memory, reach, and workflow orchestration |
| Hermes Agent | MIT | Needs hosting review | Power-user self-hosted agent with seven compute backends |
| paperclip | MIT | Self-hosted | Open-source agent orchestration with org charts, budgets, governance, and scheduling for teams of AI agents |
| Buzz | Apache-2.0 | Docker/self-hosted | Auditable workspace where agents share a signed event log with humans |
| OpenClaw | MIT | Needs hosting review | Personal AI assistant in the messaging apps you already use |
Agent isolation
All bots share one Firecracker microVM per user. Each bot gets its own screen, not its own container. 'Do not use separate Bots as a security boundary.'
rakazo and openbot give each agent its own container. openmausbot uses per-bot cloud desktops. openhuman sandboxes opt-in. hermes-agent isolates subagents by backend. paperclip uses git worktrees for identity. buzz uses Nostr keypairs for identity. openclaw runs on the host by default.
Where the agent works
Browser, terminal, filesystem, and graphical desktop on the user's shared Firecracker microVM. Each bot gets its own screen.
rakazo, openmausbot, openhuman, and openbot support browser, terminal, and file access. hermes-agent uses a cloud browser via Nous Portal. paperclip orchestrates agents but does not itself provide compute. buzz is a workspace surface. openclaw has no browser automation documented.
Hosting and source
Closed source. Cloud-only on xAI/Cursor infrastructure. No self-hosting option and no documented export path for skills or routines you build.
All eight are open source. Seven self-host via Docker or a native installer. Licenses range from MIT and Apache-2.0 to GPL-3.0 (openhuman). None require xAI infrastructure and all expose their full source for audit.
Pricing and access
No standalone plan. Access bundled into existing subscriptions from $20/mo (Cursor Pro) to SuperGrok Heavy. No free tier.
All eight are free and open source. openmausbot rides existing CLI subscriptions. openhuman and hermes-agent offer optional managed services. Model API costs are the only variable expense across all eight.
Model choice
Grok Bot runs on xAI's own models, and xAI documents no way to substitute another.
Six of eight offer native model choice; buzz and paperclip delegate model selection to their connected agents. rakazo uses any provider via Pi or OpenRouter, openbot accepts any OpenAI-compatible endpoint, and openclaw works with any hosted or local provider.
Approvals and audit
Allow once, Deny, Always allow, Auto Review. Consumer: no audit trail. Enterprise (since Sep 3): audit logs and Action Recording.
paperclip and openbot lead on governance: openbot's CEL gateway is fail-closed, /admin/audit; paperclip adds board approval workflows, budget hard-stops, and an immutable log. openmausbot has inline Allow/Deny and NDJSON transcripts. buzz has a signed hash-chained log. openhuman has approval gates.
Where you talk to it
Desktop app on macOS, Windows, and Linux; iOS 18+; iPadOS 18+; Android 9+. No messaging-app integrations.
openclaw and openhuman cover 7-17 messaging channels. hermes-agent reaches Telegram, Discord, Slack, WhatsApp, Signal, email, and Home Assistant. rakazo, openmausbot, openbot, and paperclip are dedicated apps. buzz has desktop and CLI with mobile in progress.
Editorial ranking
8 Best Open Source Grok Bot Alternatives (Ranked)
Rank 1
rakazo
rakazo is the closest architectural match to Grok Bot in this guide: persistent named bots with their own memory, routines and history, shared or isolated compute, and web, desktop and mobile clients. Where Grok Bot puts every bot on one shared machine, rakazo's Private computers give each its own container and its own credentials.
Key Features
- Persistent named bots: own memory, routines and history across sessions, matching Grok Bot's named teammate model
- Shared or isolated compute: Team Computers for collaboration; Private computers in Docker, E2B, Daytona or Box for per-bot credential separation
- Full computer access: browser, terminal, file system and graphical desktop
- Bring your own model: any provider through Pi or OpenRouter, swappable per bot
- Three clients: web, Electron desktop and Expo mobile on the same API
- Bot delegation: tasks handed to peer bots or short-lived subagents for parallel work
Pros
The Private computer option answers Grok Bot's shared-machine warning directly: each bot gets its own container and its own logins, not a share of yours. Model choice is unrestricted and swappable per bot. Apache-2.0 makes the full source auditable and forkable, with no proprietary extensions.
Cons
- Approval workflows, audit trails and governance controls are absent from the README, which rules it out for teams that need them on day one
- No stable release outside beta; launched August 2026
- Box cloud computers are a paid third-party service; per-bot isolated environments carry an additional cost
License & Hosting
Apache-2.0. Self-hosted on your own machine or a VPS. Moderate: Node.js 22+, pnpm 9 and Docker Desktop required; multi-step compose sequence before the app opens at localhost:5173. An agent-assisted SETUP_PROMPT.md is included.
Best For
Start here if you want the full Grok Bot architecture with your own choice of model and compute. Teams that need built-in audit logs, approval governance or a longer production track record should look at openbot first.
Rank 2
OpenMausBot
OpenMausBot runs your agent team on the claude, codex and grok CLIs you already have installed, with no proxy and no new subscription. A permission broker surfaces every shell command and file edit as an inline Allow or Deny card before it runs.
Key Features
- CLI-native execution: bots run on your local claude, codex and grok CLIs using your existing subscriptions, no proxy in the middle
- Per-bot cloud desktop: each bot opens its own Box remote Linux desktop with live screen preview
- Permission broker: shell commands and file edits surface as inline Allow/Deny cards, answered in chat or out loud
- Routines and webhooks: schedule once, on weekdays or every 5 to 1440 minutes; separate webhook receiver for event-driven triggers
- Write-only secrets: credentials stored locally; the UI shows only "configured" flags, never the value
Pros
Riding your existing CLI subscriptions means no extra model API bill. The permission broker makes risky actions visible decisions rather than background events. Write-only credential storage means the application cannot read back what it holds, a different security posture from Grok Bot's shared credential store.
Cons
- Desktop only, with no messaging-app integrations; you talk to bots in the app, not Slack or Telegram
- Conversation persistence is per-channel NDJSON transcript, not semantic memory that retrieves and summarises context
- Box cloud desktops are a paid third-party service after their trial
License & Hosting
Apache-2.0. Desktop app for macOS (Apple Silicon), Windows x64 and Ubuntu 24.04 x64 beta. Easy: download and open the installer; the harness is embedded. Linux local computer control and dictation are not yet available on Ubuntu.
Best For
If I already paid for Claude or Codex, this is where I would run my bots. It falls short for anyone who wants to reach those bots from Slack or a phone, or who needs semantic memory.
Rank 3
OpenBot
OpenBot is the one I would point compliance-sensitive teams to first. Each coworker gets its own container, /workspace volume and browser profile, a direct inversion of Grok Bot's single shared machine. A CEL policy gateway is fail-closed, evaluates deny before allow, and refuses any action where policy is missing.
Key Features
- Per-agent containers: each coworker gets its own container, /workspace volume and browser profile; gVisor option for kernel-level isolation
- CEL policy gateway: deny before allow; missing policy permits nothing
- Audit trail: /admin/audit records every action; refusals name the rule; secrets logged without content
- No bundled model: OpenAI, Anthropic, Google or any custom base URL; credentials encrypted at rest
- Routines: 15-minute floor, cap of 20, auto-disable after 10 consecutive failures
Pros
The gateway records every decision, so a refusal always names the rule that caused it. No bundled model keeps credential risk under your control.
Cons
- OpenBot describes itself as "a template, not a product", and it needs customisation before it fits your workflow
- Web UI at localhost:3010 only; no messaging-app integrations
- CopilotKit Intelligence credentials are required for thread persistence, though a free plan is available and Intelligence can be self-hosted
License & Hosting
MIT. Self-hosted via Docker. Moderate: Bun 1.3+, Docker, a CopilotKit Intelligence key and a model API key; scripts/start.sh handles startup. Helm is the production path.
Best For
Security-conscious teams who need per-agent isolation and an audit trail, and who can live with configuring a template rather than installing a product. Skip it if you want messaging-app integrations or an install-and-go setup.
Rank 4
openhuman
openhuman leads this guide on two axes: the deepest persistent memory in the roster and the widest messaging reach, with 17 channels including native email. It also orchestrates sub-agent fleets three levels deep, with approval-gated workflows that survive restarts.
Key Features
- Memory Tree + Obsidian Wiki: scored Markdown trees in SQLite, auto-fetched every 20 minutes
- Sub-agent fleets: reflex triage plus a deep core; specialists spawn three levels deep
- Durable workflows: schedules, webhooks, channel events; approval-gated, restart-safe on tinyflows
- Native browser: OS-keyring secrets and Privacy Mode in the Rust core
- 100+ OAuth integrations: Gmail, Notion, GitHub, Slack and more
- 17 channels: Telegram, Discord, Slack, WhatsApp, Signal, iMessage, native email via IMAP/SMTP
Pros
Replayable run journals record per-call costs and surface root-cause reports when agents get stuck, giving observability Grok Bot provides only at Enterprise. Model routing mixes a managed subscription, BYOK, and local Ollama.
Cons
- Sandboxing is opt-in rather than the per-agent default, so sub-agents reach the same filesystem unless explicitly isolated
- GPL-3.0 applies to any commercial product that embeds this codebase, not just uses it as a tool, which is worth a legal read before shipping
- Early beta with a high open-issue count; expect rough edges in multi-channel setups and workflow edge cases
License & Hosting
GPL-3.0. Prebuilt: Homebrew (macOS), AUR and .deb (Linux), Windows setup, Tauri desktop. Moderate from source: Node.js 24+, pnpm 10, Rust 1.93, CMake, Ninja, ripgrep.
Best For
Choose openhuman for memory depth and messaging reach. GPL-3.0 rules it out for some commercial products, and anyone who needs per-agent isolation by default is better served by openbot.
Rank 5
Hermes Agent
Hermes Agent by Nous Research runs on seven terminal backends, spawns isolated subagents, and reaches seven messaging platforms. It runs as a single agent rather than a roster of named bots.
Key Features
- Seven terminal backends: local, Docker, SSH, Singularity, Modal, Daytona, Vercel Sandbox; Daytona and Modal hibernate when idle
- Parallel isolated subagents: own conversation and terminal; Python RPC collapses pipelines into zero-context-cost turns
- Built-in cron scheduler: natural-language definitions, any connected platform
- Closed learning loop: agent-curated memory, skill creation, FTS5 search with LLM summarization
- Any model: Nous Portal, OpenRouter, OpenAI, or custom endpoints;
hermes modelto switch - Seven messaging platforms: Telegram, Discord, Slack, WhatsApp, Signal, email, Home Assistant
Pros
Unattended work costs nearly nothing on a $5 VPS; serverless backends hibernate when idle. Its seven backends, against rakazo's four, are the widest range in this roster.
Cons
- Browser automation routes through Nous Portal's cloud browser rather than a local browser you control directly
- Named persistent bot identities the way Grok Bot defines them are not documented in the README; this is one agent, not a configurable team
- The primary interface is a terminal TUI; there is no web UI, and the desktop app (available for macOS, Windows, and Linux) launches the same terminal experience
License & Hosting
MIT. One-liner install on Linux, macOS, Windows. Easy: installer handles uv, Python 3.11, Node.js, ripgrep, ffmpeg automatically.
Best For
Terminal-native engineers with varied compute needs get the most from Hermes Agent, and that backend range is what earns it fifth place over the three tools below. Look elsewhere if you need a web interface, named persistent bot identities, or a local browser you control directly.
Rank 6
paperclip
paperclip is a self-hosted orchestration layer for agent teams. It manages a team of agents rather than operating one itself, so it fills a different slot from Grok Bot's shared cloud computer.
Key Features
- Org chart: named roles, reporting lines, permissions, and monthly budgets in a mixed human-and-agent hierarchy
- Budget enforcement: token and cost limits per agent and goal; overspend pauses agents and cancels queued work
- Governance with rollback: board approval workflows, review stages, and config versioning
- Multi-provider: orchestrates Claude Code, Codex, Cursor, Bash bots, and HTTP webhooks; each agent brings its own model
- Heartbeat scheduling: cron, webhook, and API triggers; optional background service on Linux and macOS
Pros
Budget hard-stops, config rollback, and pause/resume/terminate give operators more control than any other tool here. Any runtime with a heartbeat joins the org chart. Multi-organization isolation ships in the base installer with full data separation per company.
Cons
- paperclip does not operate a browser, terminal, or desktop itself; pair it with a computer-use tool for Grok Bot parity
- No container or browser-session isolation: workspaces are git worktrees; login and credentials are each agent's responsibility, though paperclip injects scoped secrets
License & Hosting
MIT. Self-hosted via installer script (Node.js 24.11 or newer). Easy to Moderate: interactive onboarding; optional background service on Linux and macOS.
Best For
Teams running several agents who need governance, budgets, and an audit trail. It does not replace Grok Bot on its own, so pair it with rakazo, openmausbot, or openbot for the computer work, and expect it to earn its keep once you are past a handful of agents.
Rank 7
Buzz
Buzz from Block is a workspace substrate rather than an autonomous worker. Every participant joins a Nostr-based relay with their own keypair, and every message, reaction, workflow step, and git event becomes a signed, hash-chained record in a Postgres full-text index with six months of default history. Agents join as ordinary members with their own keys and no special privileges.
Key Features
- Nostr-based agent identity: each agent holds its own keypair and channel memberships, scoped identically to a human teammate
- Hash-chained audit log: every event Schnorr-signed and full-text searchable in Postgres; single relay is the authoritative source of truth
- YAML workflows: schedule, webhook, message, and reaction triggers; git events (NIP-34: patches, status, repo announcements) built in
- ACP harness: connects Goose, Codex, and Claude Code as first-class workspace participants via
buzz-acp - Desktop app and CLI: Tauri desktop on macOS, Linux, and Windows;
buzz-clifor JSON-in/JSON-out agent use - Railway one-click deploy: production Compose bundle with Postgres, Redis, MinIO, and optional Caddy/TLS
Pros
The signed event log is the strongest part. Schnorr signatures, hash-chain integrity, and Postgres FTS give every action a searchable receipt that agents and humans share equally. Apache-2.0, built by Block, with an active and opinionated VISION document about what this becomes.
Cons
- Browser automation and computer use are not documented in the README; Buzz is a workspace surface, not a computer-use agent
- The README itself describes workflow approval gates as "infra exists, glue still drying," which is where they stand today
- Mobile clients (iOS and Android) are listed as being wired up, not yet available
License & Hosting
Apache-2.0. Self-hosted via Docker Compose. Moderate: requires Docker, Rust 1.88+, Node 24+, pnpm 10+, and just; Hermit manages the pinned toolchain for contributors.
Best For
Use Buzz when you need an auditable substrate where agents and humans share one signed event log. It sits seventh because it answers a different question than Grok Bot; Buzz provides the workspace and something else has to do the computer work. Pair it with openbot or hermes-agent for that.
Rank 8
OpenClaw
OpenClaw is the most adopted project in this guide by a wide margin, and I placed it last deliberately. It puts an AI assistant into WhatsApp, Telegram, Slack, Discord, Google Chat, Signal, and iMessage through a local Gateway, works with hosted or local model providers, and is maintained by a non-profit foundation with no paid tier.
Key Features
- Seven messaging channels: WhatsApp, Telegram, Slack, Discord, Google Chat, Signal, and iMessage through one local Gateway
- Hosted and local model providers: any provider you already use; no lock-in
- DM pairing approval: unknown senders require a pairing code before the Gateway responds
- Control UI, CLI, and TUI: three interfaces into the same Gateway process
- Companion apps: macOS and Windows native apps for voice, Canvas, camera, and screen features (beta)
- Skills and plugins via ClawHub: community extensions for tools, integrations, and additional capabilities
Pros
A one-liner install handles Node.js and all dependencies; the onboarding wizard wires the messaging channels you choose. The OpenClaw Foundation, a non-profit, maintains it without a hosted backend or a paid tier to steer the roadmap. DM pairing approval gives meaningful access control at the entry point.
Cons
- Computer use, sandboxed agent environments, scheduled autonomous routines, parallel named agents, and a semantic memory system are not documented in the README
- Tools run on the host by default; sandboxing is available but requires reading the security guide and explicit configuration
- Designed for a single operator; team-scale orchestration across named agent identities is not part of the documented feature set
License & Hosting
MIT. Runs on macOS, Linux, and Windows. Easy: one-liner installs Node.js and all dependencies; openclaw onboard completes setup in minutes.
Best For
OpenClaw suits anyone who wants an AI assistant inside the messaging apps they already use, without learning a new app or managing a subscription. Anyone who needs an agent with its own persistent computer, named parallel teammates, or routines that run unattended should start higher up this list.
Decision framework
How to choose
Use this section to narrow the Grok Bot replacement by team size, hosting model, license, and migration difficulty.
Start with isolation. When each agent must have its own container and its own credential store, openbot is the cleanest starting point, because its per-agent containers, fail-closed policy gateway and complete audit trail come assembled. rakazo covers the same isolation requirement with more flexibility, letting you mix shared Team Computers and Private containers per bot. If you are an individual rather than a team, openmausbot's per-bot cloud desktops give you credential separation without the configuration overhead.
If the model matters more than the environment, start from what you already subscribe to. openmausbot runs on the claude, codex and grok CLIs you already pay for, with no additional API cost. Every other tool in this guide accepts your own provider keys, but openmausbot is the one built around that assumption from the start.
Readers who want the agent inside the apps they already use, rather than in a new one, should flip that ordering. openclaw gets you into seven messaging channels with a one-liner install. openhuman covers 17 channels with deeper memory, approval-gated workflows, and sub-agent fleets on top. hermes-agent reaches seven platforms, including email and Home Assistant, with the widest compute flexibility in the roster.
Where policy and audit are non-negotiable, openbot is the clear pick, and buzz adds a signed event log that humans and agents read together. openbot does the computer work and buzz keeps the auditable record, so the two combine well.
If you are already running several agents and the problem is coordination rather than capability, paperclip is the answer. It gives a team of agents an org chart, monthly budgets, board approval workflows, and an immutable audit log from one self-hosted server. Pair it with a computer-use tool above; paperclip manages the agents doing the work but does not itself operate a browser or terminal.
For terminal-native engineers with varied compute needs, hermes-agent's seven backends and built-in cron scheduler match the Grok Bot unattended-routine pattern across the most infrastructure options of any tool here.
On maturity, rakazo and openmausbot are the closest architectural matches to Grok Bot and also among the newest projects in this guide. If this goes into production today, openbot or openhuman have more development history behind them.
For the most common reader, the one who wants persistent named agents with browser access and full model control but without the shared credential model, I would start with rakazo. Anyone who needs a policy trail on day one should go straight to openbot.
Complete directory list
All alternatives to Grok Bot
OpenClaw
FreeSelf-hosted AI assistant for WhatsApp, Telegram, and more
Key differentiator
Personal AI assistant in the messaging apps you already use
Hermes Agent
FreeSelf-hosted AI agent with persistent memory, multi-channel chat, and model choice across OpenAI, OpenRouter, and custom endpoints.
Key differentiator
Power-user self-hosted agent with seven compute backends
paperclip
FreeSelf-hosted AI agent management with org charts and budgets
Key differentiator
Open-source agent orchestration with org charts, budgets, governance, and scheduling for teams of AI agents
openhuman
FreePersonal AI agent with local memory and 100+ integrations
Key differentiator
Memory, reach, and workflow orchestration
Buzz
FreeSelf-hosted team chat where people and AI agents work together
Key differentiator
Auditable workspace where agents share a signed event log with humans
OpenBot
FreeAI coworkers you can trust with real work
Key differentiator
Per-agent isolation with a policy-gated audit trail
OpenMausBot
FreeYour AI agent team in a chat app, local-first and MIT licensed
Key differentiator
Local-first agent team on your existing CLI subscriptions
rakazo
FreeAI teammates you own: your keys, your model, your machine.
Key differentiator
Closest architectural Grok Bot match
Migration
Migration notes for leaving Grok Bot
Migrating away from Grok Bot means rebuilding rather than porting. xAI documents no export path for bot state: the skills you have trained, the routines you have scheduled, and the conversation history your bots have accumulated live in xAI's infrastructure. Each routine gets reconstructed on the new stack by hand.
xAI's security documentation states that "Deleting a Bot does not remove shared-computer files or browser sessions", so removing a bot from your roster is not a clean-up step. The browser sessions it authenticated and the files it left on the shared machine persist until you clear them manually. Decommissioning is two steps: remove the bot, then return to the shared machine and wipe its footprint.
Every login your bots have established needs to be re-authenticated on the new platform. Use that moment to assign each agent its own dedicated credential instead of sharing one cookie store the way Grok Bot's shared computer does. rakazo's Private computers and openbot's per-agent containers enforce that separation structurally. openmausbot stores secrets as write-only and never lets the application read back the stored value.
On the compute side, you trade a monthly subscription for an infrastructure responsibility. Running openmausbot, openbot, or rakazo requires a VPS or a local Docker host rather than a subscription. The compute costs money, but it is yours to inspect, migrate, and control.
Routines and schedules have direct equivalents across the roster. The Grok Bot FAQ confirms that bot work continues when your device is off; openmausbot, hermes-agent, openhuman, and openbot each have a scheduler that works the same way. openmausbot's intervals run from 5 to 1440 minutes, openbot supports up to 20 scheduled routines with a 15-minute floor, and hermes-agent accepts natural-language cron definitions delivered to any connected platform.
A staged migration is safer than a full cut-over. Move one routine at a time, verify it runs unattended on the replacement stack for a full week, and keep your paid Grok Bot access until you are confident. Trying to migrate everything at once makes failures hard to attribute.
FAQ
Grok Bot alternatives FAQ
Is Grok Bot the same as the Grok chatbot?
No. Grok Bot and the Grok chatbot are two different products from xAI. Grok is the conversational AI on grok.com and in the X app. Grok Bot, at x.ai/bot, is an agentic product: named AI teammates that share a persistent cloud computer with a browser, a filesystem, and a terminal, and that keep running multi-step tasks even when the user's device is off. Searching for "Grok Bot alternatives" often returns chatbot replacements for the wrong product entirely. xAI also offers Grok Build, a separate coding CLI agent; this guide covers Grok Bot only.
What is the best open source alternative to Grok Bot?
rakazo is the closest architectural match. It provides persistent named agents with their own memory, routines, and history; browser, terminal, file, and graphical desktop access; a choice of shared or isolated compute via Docker, E2B, Daytona, or Box; and unrestricted model selection. It is Apache-2.0 licensed and fully self-hosted. Teams that need compliance controls, approval workflows, and a built-in audit trail should look at openbot instead.
Can Grok Bot be self-hosted?
No. Grok Bot is closed source and runs exclusively on xAI's infrastructure, which operates on Cursor's cloud. There is no self-hosting path, no source code to inspect, and xAI documents no way to substitute another model. Skills and routines built in Grok Bot have no documented export path. Every alternative in this guide runs on the user's own hardware or a VPS under a fully open source license.
What does Grok Bot cost and is there a free tier?
Grok Bot has no standalone subscription and no free tier. Access is bundled into existing plans starting at $20 a month with Cursor Pro. Free, X Premium ($8/month), and SuperGrok Lite ($10/month) accounts include no Grok Bot access. All eight alternatives in this guide are free and open source; the only recurring cost is the model API or compute provider chosen for the self-hosted stack.
Which open source alternative gives each agent its own isolated computer?
Three do. openbot gives each coworker its own container with a separate /workspace volume and browser profile; gVisor adds optional kernel-level isolation. rakazo provides both shared Team Computers and Private containers in Docker, E2B, Daytona, or Box. openmausbot gives each bot its own cloud desktop through Box. All Grok Bot bots share one Firecracker microVM, and xAI says not to use separate bots as a security boundary.
How hard is it to migrate from Grok Bot?
Moderately involved. xAI documents no export path for bot state, so skills and routines are rebuilt by hand on the new platform. Every login the bots have established must be re-authenticated. Deleting a bot from xAI does not remove shared-computer files or browser sessions, so cleanup is a manual step. Routines have direct equivalents in openmausbot, hermes-agent, openhuman, and openbot. A staged migration, moving one routine at a time, is the safer approach.
What are the licensing implications of the open source alternatives?
Most alternatives use permissive licenses. rakazo, openmausbot, and buzz are Apache-2.0. openbot, hermes-agent, openclaw, and paperclip are MIT. Both allow commercial use and distribution with minimal requirements. openhuman is GPL-3.0: any product that embeds the openhuman codebase must release its own source under compatible terms. If commercial embedding is on the table, the GPL-3.0 terms warrant a legal review before building on openhuman.
