RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
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英文目录Universal memory layer for AI Agents
Official Lark/Feishu CLI tool with 200+ commands and 26 AI agent skills, designed for agent-native operation and easy integration with AI runtimes.
OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched
Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.
📊 Cube Core is open-source semantic layer for AI, BI and embedded analytics
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Give AI agents the context to query business data correctly through the open context layer that gives AI agents grounded, governed memory, context, SQL across 20+ data sources, that helps you build agentic GenBI, text-to-sql, dashboards, and agentic analytics.
A Web3 wallet and agent platform for the Unicity network - dual-layer crypto wallet, DMs, group chat, and marketplace.
Bindu: The identity, communication, and payments layer for AI agents.
Open-source context retrieval layer for AI agents
Aptos is a layer 1 blockchain built to support the widespread use of blockchain through better technology and user experience.