Portable , scalable , secure AI Agents

AtlasClaw is an enterprise agent framework supporting mutliple users and multi system integration.

A Python framework for modular, self-contained skill management for machines.

A framework for discovering, compiling, and validating reusable skills for scientific agents.

A Python wrapper for the Chemistry Development Kit (CDK)

Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation

OpenJudge: A Unified Framework for Holistic Evaluation and Quality Rewards

Custom elements catalog for all kind of projects and frameworks.

Build and run agents you can see, understand and trust.

A lightweight, lightning-fast, in-process vector database

The agentic server framework.

PydanticRPC is a Python library for rapidly exposing Pydantic models as gRPC, ConnectRPC, and MCP services without protobuf files.

Express REST API and MCP Server Framework is a comprehensive development framework for building RESTful APIs and MCP servers with Express.js. It provides a complete template for creating production-ready APIs using Node.js, Express, Mongoose (MongoDB), and Sequelize (SQL databases).

Trigger.dev – build and deploy fully‑managed AI agents and workflows

A Python library for building AI agents that leverage the full power of Google Antigravity.

Simple, modular, and observable Go framework for backend applications.

A TypeScript SDK for implementing Model Context Protocol (MCP) over MQTT, supporting both browser and Node.js environments.

Go language library for reading and writing Microsoft Excel™ (XLAM / XLSM / XLSX / XLTM / XLTX) spreadsheets

Solid Tumor Associative Modeling in Pathology

A type-safe implementation of the official Model Context Protocol (MCP) schema in Rust.

Toward Skill-Native LLMs: Skill Entropy for Benchmarking and Training Long-Horizon Reasoning

Open source version of Claude Managed Agents. Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent.

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x