# Catalogue

> Public catalogue components.

JSON: https://leyline.ahensya.com/api/v1/components

- [LlamaIndex](https://leyline.ahensya.com/components/llamaindex.md): Data framework for retrieval and agents. Memory and index slices, not a whole 'RAG product' box.
- [PageIndex](https://leyline.ahensya.com/components/pageindex.md): PageIndex (MIT, Python) is VectifyAI’s vectorless, reasoning-based RAG engine. First-party pitch: build a hierarchical tree index per document, then let an LLM reason through that tree (human-like section navigation) instead of embedding chunks into a vector database.
- [Casdoor](https://leyline.ahensya.com/components/casdoor.md): An open-source, self-hosted identity and access management platform and authentication server with a web console, supporting SSO, multiple identity protocols, policy-based authorization, APIs, SDKs, and MCP.
- [cognee](https://leyline.ahensya.com/components/cognee.md): Open-source memory system for agents and teams. It connects company sources such as Slack, GitHub, and Linear so agents can recall shared context through one memory API, an SDK, or an MCP server, with an optional Cognee Cloud for managed scale.
- [memini](https://leyline.ahensya.com/components/memini.md): Self-hosted persistent memory service for MCP-capable agents. It stores and recalls memories in a tiered store using hybrid vector and keyword retrieval, ships as a single Go binary with SQLite or Postgres, and exposes REST, MCP, and an embedded admin UI.
- [Self](https://leyline.ahensya.com/components/self.md): Self-Hosted AIEnterprise Search18 min readPublished May 22, 2026
- [Local FAISS MCP Server](https://leyline.ahensya.com/components/local-faiss-mcp-server.md): Local FAISS vector store exposed as an MCP server for document ingestion, embeddings, persistent indexes, semantic search, optional re-ranking, and RAG-style retrieval with MCP prompts.