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LobeHub

LobeHub is an AI agent platform for creating agents, grouping them into teams and scheduling their tasks on web, desktop and mobile, available as a credit-based cloud service or a self-hosted community edition.

AI ChatProductivityAI Agent#AI Chat#Agent Workflow#AI Agent
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Oct 3, 2026
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LobeHub Product Information

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Oct 3, 2026
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What is LobeHub?

LobeHub is an AI agent platform for building agents, grouping them into teams and running their tasks on web, desktop and mobile. The company calls it a collaborative agent platform for work and life. Its homepage pitch is that LobeHub organizes your agents into 7×24 operation and hires, schedules and reports on your entire AI team.

You can use it in two ways: as LobeHub Cloud, a managed service billed in credits, or as a self-hosted community edition that you deploy on your own servers. The service and its Terms of Service are run by LobeHub LLC.

Relationship to LobeChat

LobeHub grew out of LobeChat, an open-source multi-model chat interface. The company says its vision began with LobeChat's multi-model support. The repository's license file still uses the old name: from 1.0, LobeChat is licensed under the LobeHub Community License, based on Apache License 2.0 with additional conditions.

Version 2.0 marked the turn away from a chat client, and its release notes describe LobeHub v2.0 as a practical shift from single-agent chat to real multi-agent collaboration. Older editorial coverage describes Lobe Chat as a local and privacy-focused ChatGPT-like UI framework, which differs from the cloud-first v2.x architecture described under Limitations.

Core features

LobeHub treats agents as the unit of work: you create agents, combine them into groups, give them memory and tools, and hand them tasks that can run on a schedule.

Agent creation and models

  • Describe-once setup: With the Agent Builder, you describe what you need once and the agent is set up with auto-configuration so you can use it right away.
  • Model choice per turn: You can switch models mid-conversation or let your agent pick the best model for each turn.
  • Local models: If your data needs to stay on-device, you can run local models too.

Agent Groups and CAO

  • Agent Groups: An agent team can tackle complex tasks together in sequence, in parallel or as a debate.
  • Orchestration: Every Agent Group includes a built-in Orchestrator.
  • CAO (Chief Agent Operator): CAO is an agent that reviews its own work, brings in sub-agents when it needs help and only stops to ask you when a decision matters.

The two approaches differ in who assembles the team. In a group you pick the members and the collaboration mode yourself; CAO decides on its own when to bring in sub-agents and keeps the main plan in its hands.

Memory, Pages and Tasks

  • Editable memory: In the Memory panel, you can review and edit saved entries, delete unwanted content or add memories manually.
  • Pages: Pages let you write and refine documents with multiple agents in one place with shared context.
  • Tasks: Tasks let you assign work to an agent, track progress and review results.

Skills, tools and chat apps

  • Skills marketplace: The Skills marketplace lists agent skills compatible with Claude Code, Codex CLI and ChatGPT, packaged in the SKILL.md format.
  • MCP marketplace: MCP servers in the marketplace are rated on activity, stability and community feedback.
  • Cloud Sandbox: Cloud Sandbox lets agents run code, commands and file operations on a server.
  • Execution devices: An execution device determines where device-based tools and coding agents do their work.
  • Messenger: Messenger lets you use your own agents through a LobeHub-managed bot by linking a Telegram, Slack, Discord or WeChat account, without creating a bot yourself.
  • Channels: Channels connect an agent to a bot that you configure, so the bot can carry your own name and identity.

Guide

Two documented workflows are specific enough to follow step by step: setting up a recurring agent task and moving data out of the old desktop local database.

Setting up a recurring task

  1. Open an agent's page, click Tasks and describe the work in the task input; you can add a priority or attach files.
  2. Open the task detail and go to Automation → Scheduled.
  3. Configure the frequency, time, timezone and execution cap for the scheduled runs.
  4. Enable automation, then check the task status and the next run time.

Moving from a v1 desktop local database

  1. Keep v1.x installed until you have confirmed the migration worked.
  2. In v1.x, export your data from Settings → Data Storage → Export Data.
  3. Sign in to v2.x, on LobeHub Cloud or your self-hosted instance, and import the file from Settings → Data Storage → Import Data.

If you already upgraded, the v1.x local database files remain on disk until you remove them, so you can reinstall a v1.x build and export afterwards. Agents, conversations and settings can all move over, typically in a few minutes.

Use cases and examples

LobeHub's own showcase and documentation examples center on research, writing and coordination work that benefits from several agents or repeated runs.

  • Literature review: An agent group reads papers and produces structured summaries with core ideas, methods and key takeaways.
  • Meeting follow-up: An agent converts meeting notes or transcripts into a clear recap with key decisions, action items and owners.
  • Research-to-report pipelines: A research agent gathers information, an analysis agent reviews it and a writing agent prepares the final document.
  • Feedback triage as a task: A task can ask an agent to read attached customer feedback, group it by issue type and identify the three most common problems.
  • Market analysis groups: The homepage showcases an agent group for stock trading that analyzes market signals, drafts strategies and surfaces key risks; it is a vendor showcase example.
  • Agents inside chat apps: Messenger is meant for people who want to use their agents from a familiar chat app and let LobeHub manage the bot.

Who is it for

LobeHub targets individuals and teams that want agents to carry ongoing work, with separate routes for self-hosters and organizations that need private deployment.

  • Individual power users: The homepage invites people to join thousands of super individuals.
  • Teams: A shared Workspace lets teams collaborate with agents with clear ownership and visibility.
  • Developers who self-host: Professional developers can use all open-source capabilities by self-deploying the community edition.
  • Organizations needing private deployment: The Enterprise Edition is aimed at teams that need private deployment or custom solutions.

It is a weaker fit in these cases:

  • Fully offline desktop use: On desktop, cloud models, sync and online tools still require a network connection.
  • Shipping a modified fork: Developing and distributing a derivative work based on the code requires a commercial license from the producer.
  • Minors: The Terms require users to be of legal age, 18 years and above.

Platforms

You can use LobeHub on the web, desktop and mobile, signing in with the same account across them.

  • Desktop: The desktop app is the installed application for macOS, Windows or Linux.
  • Sync boundary: Files stored only on a device do not sync automatically.
  • Android: On Google Play, the Android app showed 3.8 stars from 41 reviews and 10K+ downloads as captured on October 2, 2026.
  • Chat platforms: Channels currently available include Discord, Slack, Telegram, LINE, QQ, WeChat, Feishu and Lark.
  • Not yet available: WhatsApp and iMessage appear as Coming Soon and cannot be configured as generally available channels.

Self-hosting

LobeHub can be self-hosted on your own infrastructure, giving you control over your data, customization and deployment environment. A self-hosted deployment needs at least one AI provider API key. Server deployments require PostgreSQL 14 or later. Documented deployment methods include Vercel, Docker, Docker Compose, Zeabur, Sealos, RepoCloud and Dokploy.

Pricing

LobeHub Cloud is billed in credits, and LobeHub converts USD 1 of model usage into 1,000,000 credits for calculation purposes.

PlanMonthly billingBilled yearly (per month)Credits per monthFile storage
Free0 USD0 USD500,00015 MB
Starter12.9 USD9.9 USD5,000,0001024 MB
Premium24.9 USD19.9 USD15,000,0002048 MB
Ultimate49.9 USD39.9 USD35,000,0004096 MB

On the pricing page itself, Starter appears as $12.9 per month or $118.8 per year. The page advertises a free trial of GPT-6.1 Sol, Claude Sonnet 5.5 and MiMo-V2.6 Pro with no credit card required. The Free plan card estimates about 70 messages with GLM-5.3-Flash. On the same card, GPT-6 Astra is marked Subscription required. For the Enterprise Edition, buyers contact sales via the pricing page.

How credits work

  • Monthly reset: Subscription points reset at the end of each billing cycle.
  • Top-ups: Credit top-ups are available to both free and paid users, with no plan upgrade required.
  • Minimum custom purchase: Custom credit purchases start at 10M credits.
  • Expiry: The purchase page shows a six-month validity period for top-up credits.
  • Spending order: LobeHub uses subscription credits before top-up credits.
  • Bring your own key: You can also set a custom model API key and use API usage purchased from other channels.

Plan changes and refunds

  • Upgrades: When you upgrade, the remaining value of your current plan may be applied as a discount.
  • Downgrades: You cannot change directly to a lower plan while the current subscription is active; you cancel, wait for the plan to expire and then subscribe to the lower plan.
  • Mobile purchases: If you bought the subscription through a mobile app, the web page sends you to manage it on your mobile device.
  • Unused services: Purchased but unused services can be refunded within 30 days of payment.
  • Partial usage: For subscriptions with partial usage, refund requests are reviewed case by case and approval is at the company's discretion.

The Terms of Service that contain these refund rules were last updated on 2024-03-01.

LobeHub alternatives

The closest alternatives depend on which side of LobeHub you need: the self-hosted AI chat interface LobeChat was known for, or the hosted multi-agent operator it has become.

  • Open WebUI: Open WebUI connects to Ollama, OpenAI, Anthropic or anything compatible and can run locally, in the cloud or both. An editorial roundup of Ollama web interfaces calls it the most popular and feature-rich option in that category.
  • LibreChat: LibreChat brings your AI conversations together in one unified, customizable interface. It advertises enterprise-ready SSO with OAuth, SAML, LDAP and two-factor authentication.
  • Manus and Claude Cowork: LobeHub says it matches what Manus and Claude Cowork offer and goes beyond them, which is a vendor comparison rather than an independent benchmark.

Limitations

Product and deployment limits

  • Server database only: LobeHub 2.0 only supports Server DB mode, and Client DB (PGlite) is no longer supported.
  • No desktop local database: Starting with v2.x, LobeHub moved to a cloud-first architecture and removed the desktop local database.
  • Authentication changes: LobeHub 2.0 only supports the Better Auth authentication system, so self-hosters coming from 1.x lose NextAuth and Clerk support.
  • Sandbox on self-hosted servers: Self-hosted deployments also require a sandbox provider for Cloud Sandbox.
  • Vercel constraint: Deploying on Vercel carries a 10-second serverless function timeout limit.
  • Alpha features: Projects is still in Alpha, so availability can be limited and its interface and behavior can change.
  • Paid WeChat access: WeChat requires a paid personal plan.
  • Shifting model catalog: Model availability and prices can change when providers update their services.

Inconsistent documentation

  • Free allowance: One FAQ page says LobeHub Cloud gives 450,000 free computing points to registered users, while the pricing table lists 500,000 credits per month on the Free plan.
  • Plan names: Another FAQ page divides the Cloud plans into Basic, Advanced and Professional versions rather than Starter, Premium and Ultimate.
  • Vector storage units: The pricing page lists Starter vector storage as 5,000 entries, while the machine-readable pricing summary lists 5000 MB of vector storage for the same plan.

Data, privacy and license terms

  • Model training: For the mobile app's AI chat features, the privacy policy states that chat content is not used for model training.
  • Third-party AI services: The policy also says that data processed through integrated AI services goes through enterprise API endpoints that do not use customer data for model training.
  • Consent in the mobile app: Before the first AI request, the mobile app shows a consent dialog describing what data is sent and who receives it.
  • Android data disclosure: The Android listing's data safety section says the app may share financial info, app activity and device or other IDs with third parties.
  • Ownership: You retain full ownership of the content you create, publish or display in the service.
  • Data loss: The Terms state that the company cannot guarantee that synced data will not be lost or damaged.
  • Commercial use: The license allows commercial use as a frontend and backend service without modifying the source code.
  • License changes: Contributors agree that the producer can make the open-source agreement stricter or more relaxed.

FAQ

Q1. Is LobeHub the same product as LobeChat?

LobeHub is the current name and direction of the project that began as LobeChat. The license file still names the software LobeChat, but version 2.0 turned the chat interface into a multi-agent platform.

Q2. Is LobeHub open source?

The community edition's code is public and can be self-hosted, but it ships under the LobeHub Community License rather than plain Apache 2.0. Commercial use without modifying the source is allowed, while distributing a derivative work needs a commercial license.

Q3. How much does the Free plan include?

The Free plan costs 0 USD and includes 500,000 credits per month and 15 MB of file storage. Some models, such as GPT-6 Astra, require a paid subscription.

Q4. Do unused credits roll over?

Subscription points are reset when each billing cycle ends. Top-up credits are separate, carry a six-month validity on the purchase page and are spent after subscription credits.

Q5. Does LobeHub train models on my chats?

The privacy policy says chat content from the mobile app's AI features is not used for model training, and that integrated AI services are reached through enterprise API endpoints that do not train on customer data.

Q6. Can I keep everything on my own device?

Not with the v2.x desktop app alone, because the local database was removed and cloud models and sync need a network connection. Running local models or self-hosting the community edition are the documented ways to keep model calls or data under your control.

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