AI Agent Skills

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

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 L…

Universal memory layer for AI Agents

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

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.

Agent Skills as a Memory Layer

Universal memory layer for AI Agents. It provides scalable, extensible, and interoperable memory storage and retrieval to streamline AI agent state management for next-g…

Ground truth layer for humans and AI agents working together. Version control for knowledge.

A 7-layer memory operating system for Hermes Agent — persistent memory with Qdrant, structured facts, fabric recall, auto-curated wiki, and surgical context injection. R…

The collaboration layer for your AI workforce. Run a team of AI agents that coordinate over email, share memory, and get better with every task.