AI Agent Skills

Compose enterprise LLM agents and plugins

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.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

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.

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit con…

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…

Hermes Agent memory plugin/provider for scope-aware recall, SQLite truth, LanceDB semantic search, and hybrid retrieval.