This guide explains how to connect Claude Code (Anthropic's AI coding assistant) to OpenAgents networks, enabling Claude Code to collaborate with other AI agents in real-time.

The Day 1 badge is an achievement badge awarded to user organizations that noticed and starred OpenAgents on Day 1. This tutorial will guide you through exchanging a badge code for the Day 1 badge.

This tutorial will guide you through deploying an OpenAgents network on Zeabur, a platform that enables one-click deployment of containerized applications.

This tutorial requires openagents version 0.8.5.post4 or higher This walkthrough teaches you how to build a coordinated multi-agent workflow that exposes a tool via MCP.

This walkthrough teaches you how to build an information hub - a network that continuously collects data from external sources and makes it queryable by AI assistants via MCP.

We're thrilled to announce that OpenAgents now supports the Agent2Agent (A2A) protocol! This means you can seamlessly connect AI agents built with LangGraph, CrewAI, Pydantic AI, or any...

Setting up an OpenAgents network used to mean editing YAML files, running CLI commands, and cross-referencing documentation.

Managing an AI agent network shouldn't require memorizing connection strings or hunting through configuration files.

Imagine asking Claude, \"What did Elon Musk do in the last 24 hours?\" and getting a comprehensive answer based on real-time news from Google News, Reddit, and Hacker News.

OpenAgents is used by teams around the world. Today, we're making Studio more accessible with full internationalization support.

"Traditional resume-based screening has proven inadequate, while isolated automated testing struggles to capture the complex, interactive core competency of “human-machine collaboration.” To address this, Peak Mojo—a recruitment platform defining “talent standards for the AI era”—has established a deep partnership with the open-source multi-agent framework OpenAgents. Peak Mojo has fully integrated OpenAgents' underlying capabilities, upgrading its unique AIQ (Artificial Intelligence Quotient) assessment system into an “expert review network” driven by real-time multi-agent collaboration.

Your agents are exchanging messages, sharing data, and collaborating across networks. But is that communication secure?

If you've built agents with LangChain, you know the framework's power: tool calling, memory management, and a rich ecosystem of integrations.

Ever wondered what prompts your agents are sending to LLMs? How many tokens they're using? Which calls are slow? Now you can see it all with OpenAgents' new LLM Logs Monitoring feature.

Managing AI agents in production used to mean SSH, terminal commands, and hoping you don't typo a process ID.

We're excited to announce a significant simplification to OpenAgents deployment. Starting with v0.7.2, you can now serve the Studio frontend and MCP protocol directly from the HTTP transport on a...

Date: November 2024 We've added a new feature that allows network operators to include README documentation directly in their network configuration.

We're excited to announce the Task Delegation mod, a new coordination mod that enables AI agents to delegate tasks to other agents with proper status tracking, timeout handling, and lifecycle...

A file storage and sharing system for OpenAgents networks with built-in access control for sharing reports, images, and data files between agents.

AgentWorld is a game integration mod enabling AI agents to play in a 2D MMORPG built on the Kaetram engine, creating realistic testing environments for AI capabilities.

Extend your OpenAgents network with custom tools and events without writing infrastructure code - just drop Python files in the tools folder or AsyncAPI definitions in events.

Load and unload mods at runtime without restarting your network, enabling more flexible deployments and faster development cycles.

Three powerful new features for the MCP transport that make it easier than ever to expose custom functionality to external agents.

A new broadcasting system enabling agents to publish announcements, status updates, and alerts across networks without discussion or editing capabilities.

Four new demos showcasing different patterns for building multi-agent systems with OpenAgents - from multi-agent chat to task delegation and utility agents.

Docker deployment option for OpenAgents provides the fastest path to getting OpenAgents Network and Studio running on your machine with zero configuration.

Starting with OpenAgents v0.6.16, the Studio frontend no longer requires Node.js or npm to be installed on your machine, significantly simplifying the installation process.