A benchmark built to evaluate and improve agent capabilities for supporting legal work.

Our own point-and-click MCP server.

Demo for Antigravity agent x LlamaParse/LiteParse for unstructured document parsing

A small example repo for building a backend with LlamaParse

Distributed compute that processes documents.

ParseBench - A Document Parsing Benchmark for AI Agents

Interactive samples/demos for LiteParse: a fast, local, model-free document parser

LlamaParse Agent Skills

A fast, helpful, and open-source document parser

An agent that can help you with investments portfolios and decks

Python SDK for OCR and document parsing in the cloud with LlamaParse

CLI agent to explore file system, powered by Gemini 3 Flash

Run Claude Code/Codex within AgentFS, orchestrated by LlamaIndex Workflows

Send your invoices and expenses via email, let AI handle them

Client for OpenCode (local coding AI Assistant)

Search through documentation with vibe-llama MCP

Semantic search and document parsing tools for the command line

Vibe-coding tools for the LlamaIndex ecosystem

Get insights from your research papers with LlamaExtract

Test agent capability with complex generated mazes

Demo code for Gemini Live Integration

🦙 LlamaCloud nodes for n8n

Trust your gut on git

Agentic RAG to help you build a startup🚀

A collection of Python SDKs that enable developers to build and deploy agents to the UiPath Cloud Platform using different agent frameworks

A fully open-source, LlamaCloud-backed alternative to NotebookLM

🌊 Simple, event-driven and stream oriented workflow for TypeScript

Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.

A robust enterprise application sample (deployed on ACA) that leverages MCP and multiple AI agents orchestrated by Langchain.js, Llamaindex.TS and Microsoft Agent Framework.