# 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.
- [Build software better, together](https://leyline.ahensya.com/components/build-software-better-together.md): ## Here are 48 public repositories matching this topic...
- [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.
- [otel-desktop-viewer](https://leyline.ahensya.com/components/otel-desktop-viewer.md): README: a CLI for exploring OpenTelemetry traces, metrics, and logs locally. Go custom Collector distribution, DuckDB backend, Svelte UI. Receives OTLP on localhost:4317 (gRPC) and localhost:4318 (HTTP). UI at localhost:8000. In-memory by default; --db persists DuckDB.
- [awesome](https://leyline.ahensya.com/components/awesome.md): 139 lines (106 loc) · 17.5 KB
- [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.
- [turbopuffer](https://leyline.ahensya.com/components/turbopuffer.md): turbopuffer is a managed, commercial search engine from turbopuffer Inc. (Canadian, founded 2023). It is object-storage-first: Amazon S3 / Google Cloud Storage / Azure Blob is the source of truth; NVMe and memory are caches. It does approximate vector search (SPFresh), BM25 full-text, filters, and hybrid fusion.
- [Deep Agents](https://leyline.ahensya.com/components/deep-agents.md): Deep Agents (langchain-ai/deepagents) is LangChain AI’s batteries-included agent harness: production-ready, extensible, with filesystem, context management, sub-agent delegation, skills, and long-term memory (PyPI summary). README principles: opinionated, extensible, model-agnostic, production-ready on LangGraph + LangSmith.
- [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.
- [Local Office](https://leyline.ahensya.com/components/local-office.md): A native Mac document assistant with local ingestion, cited answers and a document-derived wiki.
- [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
- [Atomic Agent](https://leyline.ahensya.com/components/atomic-agent.md): Local-first AI agent whose control loop and all state run on the machine. Drives browser, files, approved shell, documents, memory across sessions, scheduled tasks, and MCP tools. Default path is llama.cpp (their TurboQuant fork) so small quantized models stay useful for long multi-step work on consumer hardware.
- [AgentMemory](https://leyline.ahensya.com/components/agentmemory.md): An open source memory system for coding agents that captures session activity, compresses it into searchable memory, and re-injects relevant context into future sessions. The repo positions it as agent-agnostic infrastructure that can work across Claude Code, OpenClaw, Codex CLI, Cursor, Gemini CLI, and other MCP or HTTP-capable agents.
- [Vellum Assistant](https://leyline.ahensya.com/components/vellum-assistant.md): Vellum Assistant is a personal AI assistant product (OSS + managed cloud) in the same broad class as Hermes / OpenClaw / NanoClaw: multi-channel agent, skills, memory, computer use, OAuth-connected tools, managed or self-hosted runtime. Entry capture was the OAuth Integrations key-concept doc: browser OAuth2 instead of pasting API keys; each integration is a bundled skill with tools (e.g.