# Catalogue

> Public catalogue components.

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

- [GitHub](https://leyline.ahensya.com/components/github.md): Repo host whose stars, commits, and issues feed Leyline GitHub health — a Score factor, not the whole reputation story.
- [LlamaIndex](https://leyline.ahensya.com/components/llamaindex.md): Data framework for retrieval and agents. Memory and index slices, not a whole 'RAG product' box.
- [Exa](https://leyline.ahensya.com/components/exa.md): Neural web search API aimed at agents. Search slice with citations, distinct from crawl-the-page tools.
- [Build software better, together](https://leyline.ahensya.com/components/build-software-better-together.md): ## Here are 48 public repositories matching this topic...
- [Cursor](https://leyline.ahensya.com/components/cursor.md): Agentic editor harness. A day-one Leyline install target: scour skill via MCP or rule file.
- [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.
- [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.
- [Crunchbase](https://leyline.ahensya.com/components/crunchbase.md): Read-only company and funding-data API for approved, licensed developers.
- [Expand Fetch](https://leyline.ahensya.com/components/expand-fetch.md): Fetches rendered web pages as source-linked Markdown and structured page state for agents.
- [Keenable](https://leyline.ahensya.com/components/keenable.md): Search and fetch endpoints exposed directly and through a CLI and MCP server.
- [Litescrape](https://leyline.ahensya.com/components/litescrape.md): Search and data-extraction APIs for supported web services, with an MCP integration.
- [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.
- [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.
- [Lore](https://leyline.ahensya.com/components/lore.md): Open-source shared persistent memory for AI agents, backed by Notion. A Lore vault is a Notion page with Projects, Topics, Memories, Entities, and Facts databases so later sessions and people can reuse experiential knowledge, follow-up tasks, decision records, and procedures. Age
- [VUDA (Visual UI Debug Agent)](https://leyline.ahensya.com/components/vuda-visual-ui-debug-agent.md): An MCP server using Playwright to let AI models visually analyze, automate, test, and debug web interfaces.