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LobeChat

Agent workspace that manages teams of AI agents across multiple models and plugins.

LobeChat is an agent orchestration platform that organizes multiple AI agents into coordinated teams working across models and tools. It is used by individuals and developers who build, deploy, and collaborate with AI agents, either on the vendor's hosted service or self-hosted.

Documented features

• Manages, schedules, and reports on multiple agents across different LLMs
• Supports models from OpenAI, Claude, Gemini, and other providers across modalities
• Provides over 10,000 skills through a plugin ecosystem with MCP compatibility
• Auto-configures ready-to-use agents from a user's description of their needs
• Runs agent groups in collaborative workspaces with shared context and project-based organization
• Offers multi-agent writing and refinement pages with shared context
• Keeps a structured, user-editable personal memory of preferences
• Deploys via Vercel, Docker, Zeabur, Sealos, and Alibaba Cloud with configurable environment variables
• Supports plugin development with an SDK, templates, and community contributions

Feature summaries come from the project's own repository and documentation and describe the software as documented on the verification date, not an evaluation.