Agent Builder
Create agents with Skills and manage how they behave, so teams can tailor agents to specific tasks instead of using a fixed chatbot setup.
LobeHub
LobeHub is an agent collaboration platform for work and productivity. It supports multi-agent workflows, persistent memory, and cloud-based model usage across web, desktop, mobile, and CLI surfaces.
Overview
LobeHub is an agent collaboration platform for work and productivity. It is built around long-running agent teammates, shared context, and multi-agent workflows that help people move from ideation to execution without treating every request as a one-off task.
The site positions LobeHub as a place to create agents, collaborate with them in teams, and let them retain persistent memory over time. It also offers a web app, desktop app, mobile app, a CLI, and LobeHub Cloud pricing for model usage and cloud features.
Core capabilities
Agent Group workflows
Assemble multiple agents for one task, with auto team formation, parallel collaboration, multi-task execution, and iterative improvement.
Multimodal workflow surfaces
Work across Pages, Schedule, Project, and Workspace views to keep agent-driven work organized and shared across context.
Personal Memory
Store persistent, editable memory for agents so they can retain context and adapt over time instead of starting from scratch each session.
Multi-model orchestration
Support multiple model providers and model types, with pricing coverage for text, voice, and image generation in LobeHub Cloud.
Marketplace and integration discovery
Discover and reuse community agents, MCP servers, and Skills through the marketplace and docs-linked integration surface.
Common use cases
Writing and content workflows
Use LobeHub to draft, refine, and iterate on longer pieces of work with agents that keep context and can be revisited later.
Multi-step team tasks
Use agent groups to split complex work across multiple agents, then let them collaborate in parallel instead of handling each step manually.
Project-based collaboration
Use Pages, Projects, and Workspaces to keep agent-assisted work organized when several tasks or stakeholders need shared visibility.
Reusable agent setup
Use the marketplace and Skills to start from existing agent patterns, then adapt them to a team’s preferred way of working.
Planning cloud usage
Use the cloud pricing model to estimate model usage for text, voice, or image tasks before scaling a workflow.
Pros and Cons
Pros
- Supports persistent agent memory, which helps agents retain context over longer workflows.
- Covers multi-agent collaboration instead of only single-chat interactions.
- Includes multiple access surfaces: web, desktop, mobile, and CLI.
- Provides a marketplace for agents, MCP servers, and Skills, which can shorten setup time for reusable workflows.
- Shows clear pricing structure with free and paid plans, plus an enterprise option for private deployment or custom solutions.
Cons
- The source materials are stronger on platform and pricing information than on deep documentation for every feature, so some capabilities are described at a high level.
- Pricing depends on compute credits and supported model tiers, so users need to review the model table to estimate actual usage costs.
- The integration surface is documented through discovery endpoints and product references, but the collected pages do not fully enumerate every third-party integration.
FAQ
What is LobeHub used for?
LobeHub is an agent collaboration platform for work and productivity. It combines Agent Builder, an Agent Marketplace, shared workspaces, and persistent agent memory for long-running tasks and team workflows.
Which platforms does LobeHub support?
The source highlights the Web App, Desktop App, and Mobile App as core platform options. LobeHub also offers a CLI called `lh` through the `@lobehub/cli` package.
Does LobeHub support more than text chat?
LobeHub supports multi-model orchestration and a broad model pricing catalog in LobeHub Cloud. The pricing page also shows separate support for text, voice, and graphic model usage.
Is there a free plan and paid plans?
The pricing page shows a Free plan, paid Starter, Premium, and Ultimate plans, plus an Enterprise Edition for private deployment or custom solutions. The exact plan fit depends on the compute credits, storage, and support level a team needs.
How do integrations work in LobeHub?
The source points to an OpenAPI document, API catalog, OAuth discovery, and MCP endpoints for integration discovery. That suggests LobeHub is designed to be discovered and connected through documented interfaces rather than a single closed app surface.
Quick Facts
- Category
- AI agent collaboration platform
- Platform
- Web, desktop, mobile, and CLI
- Primary focus
- Shared context, multi-agent work, and persistent memory
- Cloud billing
- Credit-based usage in LobeHub Cloud
- Source domain
- lobehub.com
- Enterprise option
- Private deployment or custom solutions
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