Tools

The open source codebase powering HuggingChat

The Web Data API for AI - Power AI agents with clean web data

AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. Includes AI personas, AGI functions, world-class Beam multi-model chats, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy on-prem or in the cloud.

Vane is an AI-powered answering engine.

Self-evolving MCP server that generates and improves its own tools at runtime. Built on FastMCP, Janee uses LLM-driven tool generation to dynamically create, test, and refine MCP tools from natural language descriptions — enabling AI agents to extend their own capabilities on the fly.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23

A Model Context Protocol server for generating visual charts using AntV.

MineContext is your proactive context-aware AI partner（Context-Engineering+ChatGPT Pulse）

An official Qdrant Model Context Protocol (MCP) server implementation

An MCP Server and VS Code Extension which enables (language agnostic) automatic debugging via breakpoints and expression evaluation.

Generate visual charts using Apache ECharts with AI MCP dynamically.

Control Android devices with AI through MCP, enabling device control, debugging, system analysis, and UI automation with a comprehensive security framework.

Five-level AI collaboration system with persistent memory and anticipatory capabilities. MCP-native integration for Claude and other LLMs with local-first architecture via MemDocs.

The Semantic Engine for Model Context Protocol(MCP) Clients and AI Agents

Atlassian Confluence Cloud integration. Enables AI systems to interact with Confluence spaces, pages, and content with automatic ADF to Markdown conversion.

Audit URLs for AI crawler readiness — checks robots.txt, llms.txt, JSON-LD schema, and content density with 0-100 AEO scoring.

Allows AI models to interact with HackMD

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including CrewAI, Agno, OpenAI Agents SDK, Langchain, Autogen, AG2, and CamelAI

IMAP/SMTP email MCP server with 42 tools for reading, searching, sending, scheduling, and managing emails across multiple accounts. Supports IMAP IDLE push, AI triage, desktop notifications, and auto-detects providers like Gmail, Outlook, and iCloud.

AdalFlow: The library to build & auto-optimize LLM applications.

Superagent protects your AI applications against prompt injections, data leaks, and harmful outputs. Embed safety directly into your app and prove compliance to your customers.

Atlassian Bitbucket Cloud integration. Enables AI systems to interact with repositories, pull requests, workspaces, and code in real time.

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Local FAISS vector database for RAG with document ingestion (PDF/TXT/MD/DOCX), semantic search, re-ranking, and CLI tools for indexing and querying

open-source agentic AI data assistant for the next generation of AI + Data products.

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

Self-hosted AI accounting app. LLM analyzer for receipts, invoices, transactions with custom prompts and categories

The absolute trainer to light up AI agents.