lobehub/lobehub
LobeHub is a platform that enables multi-agent collaboration and human-agent co-evolution by treating AI agents as units of work, providing tools to build, manage, and collaborate with AI agent teams seamlessly.
Awesome MCP › Agent Orchestration Platforms
weam-ai/weam
weam-ai/weam is an open source, self-hosted AI workspace for teams, built as a Next.js frontend with a Node.js backend and intended to run on infrastructure the team controls. Its chat layer connects to many model providers, including OpenAI, Anthropic, Gemini, Llama, Perplexity, DeepSeek, OpenRouter, Hugging Face, Grok, GLM, MiniMax, Kimi and Xiaomi MiMo, and to locally hosted models through Ollama; conversations keep full history, can be forked and accept voice input. Content is organised into Brains, shared or private folders holding chat histories, saved prompts and agents, which can be arranged per department. The prompt library supports custom and template prompts, tagging and favourites, slash access inside a chat and AI-assisted prompt generation from a website. Agents are defined by custom instructions, an uploaded knowledge base and a chosen model, and are invoked by typing an at sign. A built-in retrieval pipeline chunks, embeds and vectorises uploaded documents and injects retrieved passages into the model context. Relevant to this list, the README documents Model Context Protocol support as a platform feature, with a growing set of MCP integrations such as Gmail, Slack and Google Drive and instructions for adding further MCP connections, which makes the platform an MCP client host for its agents; note that the agent feature list separately marks MCP integration as coming soon, so the maturity of the support is not clear from the README alone. Other features include collaboration by several members in one chat, threaded comments, public share links, multiple workspaces, granular access control for chats, prompts and agents, usage analytics and team groups. Weam also ships separate AI apps, among them a document editor, a recruiting interviewer, a landing page content generator and an SEO blog engine. Suggested hardware is four or more CPU cores and 8 GB of RAM.
https://github.com/weam-ai/weam
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