An advanced multi-agent collaboration platform that lets you find, build, and collaborate with evolving agent teammates, treating agents as the unit of work interaction.
One Minute Overview#
LobeHub is the ultimate space for work and life to find, build, and collaborate with agent teammates that grow with you. It transforms the fragmented experience of traditional AI tools by treating agents as the unit of work interaction, providing infrastructure for humans and agents to co-evolve. Perfect for teams and individuals who need efficient collaborative agent teams.
Core Value: Consolidates fragmented AI tools into collaborative agent teams, enhancing work efficiency and adaptive intelligence.
Getting Started#
Installation Difficulty: Low - Offers multiple one-click deployment options including Vercel, Docker and other platforms
# Deploy with Vercel one-click
# Click the "Deploy" button on the project page
# Configure environment variables and start using
# Or deploy with Docker
mkdir lobe-chat-db && cd lobe-chat-db
bash <(curl -fsSL https://lobe.li/setup.sh)
docker compose up -d
Is this suitable for me?
- ✅ Team collaboration: Need multiple agents working together on tasks
- ✅ Personalized AI assistants: Want to create custom AI assistant teams
- ✅ Workflow automation: Hope to use AI agents for repetitive tasks
- ❌ Simple chat needs: Only require single-purpose conversation, not complex agent collaboration
Core Capabilities#
1. Agent Creation & Unified Intelligence - Solving the problem of traditional AI tools being single-purpose#
Quickly create personalized AI teams through Agent Builder, seamlessly access any model and modality, all under user control. User Value: Build dedicated AI teams, reduce app switching, improve workflow continuity
2. Agent Team Collaboration - Solving the lack of collaboration between AI tools#
Achieve true team collaboration among agents through Agent Groups, where the system assembles the right agents for tasks, enabling parallel work and iterative improvement. User Value: Multiple AI agents work like real team members, improving efficiency for complex task processing
3. Personal Memory System - Solving the lack of contextual understanding in AI#
Build a clear understanding of user needs through Personal Memory, agents learn from how users work and adapt their behavior to act at the right moment. User Value: AI agents that understand you better over time, providing more personalized and precise services
4. MCP Plugin Ecosystem - Solving the connection between AI and external tools#
Enable dynamic interactions between AI and external tools, data sources, and services through the MCP plugin system, breaking down barriers in the digital ecosystem. User Value: Extend AI conversations into powerful workflows connecting databases, APIs, file systems and more
5. Multimodal Interaction - Solving limitations of single text interaction#
Supports various modal interactions including image recognition, voice conversation, text-to-image generation, and real-time web content processing. User Value: More natural collaboration with AI through multiple interaction methods, meeting different scenario needs
Technology Stack & Integration#
Development Language: TypeScript, JavaScript, CSS Framework: Next.js 16.1.5, React 19.2.3 Key Dependencies: Supports multiple large language model service providers, local model support via Ollama Integration Method: Supports multi-user management with flexible authentication via OAuth, email login, credential login, magic links and more
Ecosystem & Extensions#
- Plugin System: Complete plugin development framework including SDK and gateway, allowing developers to extend functionality
- Market Integration: LobeHub Agent Marketplace offering a rich selection of pre-built agents
- Theme Customization: Supports light/dark themes with fully customizable colors
- PWA Support: Progressive Web Application providing near-native app experience
Maintenance Status#
- Development Activity: Actively maintained with multiple commits per week
- Recent Updates: Recent active commits with continuous iteration
- Community Response: Active contributor community including main maintainers and multiple supported products
Documentation & Learning Resources#
- Documentation Quality: Comprehensive
- Official Documentation: https://lobehub.com/docs
- Sample Code: Provides plugin templates and examples
- Community Support: GitHub Issues and projects, Discord community
Commercial & Licensing#
License: MIT
- ✅ Commercial Use: Allowed
- ✅ Modification: Allowed
- ⚠️ Restrictions: Must include original copyright and license notices