Minutes
✨Open-source, local-first conversation memory infrastructure that transcribes meetings and voice memos into structured Markdown, queryable by humans and AI agents.
Open-source, local-first conversation memory infrastructure that transcribes meetings and voice memos into structured Markdown, queryable by humans and AI agents.
An Application Framework for AI Engineering, providing unified abstractions for multiple AI models and vector stores, supporting RAG, Function Calling, and other enterprise AI application patterns.
An enterprise-grade multi-agent AI assistant platform for teams, building a "second brain" through multi-model failover, MCP protocol, and multi-channel support.
A multi-agent company due diligence and research tool based on LangGraph + Tavily that automatically generates comprehensive company research reports.
A local-first multi-agent collaborative office where AI role teams autonomously build and maintain a shared knowledge base, executing tasks via push-driven orchestration without losing context.
Next-generation personal and enterprise AI assistant platform powered by LLM, RAG, and agent loops, featuring multi-channel gateways, visual BPMN workflow orchestration, and multi-tenant isolation.
An enterprise-ready, model-agnostic orchestration framework by Microsoft for building intelligent AI agents and multi-agent systems.
A super AI agent framework powered by LLMs, supporting multi-channel access (WeChat/Feishu/DingTalk/etc.) with autonomous task planning, long-term memory, knowledge base, and skills system
Open-source enterprise AI application platform providing Agentic RAG, custom Agents, Deep Research, code execution, and multi-client access as an all-in-one generative AI gateway.
A team collaboration MCP server designed for the AI coding era, enabling all AI assistants to share requirement analysis results and knowledge base, with support for Axure prototype parsing, UI design viewing, and team message board.
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