Agentic frameworks and swarm architectures help multiple AI agents coordinate by roles, with checks and stop rules. Learn patterns and a simple swarm template to build reliable workflows.
Skill docs from simple runs help agents store what worked into reusable Skill.md files. Learn how /learn ideas and compliance checks can make agents more consistent.
A clear guide to Agentic Workflows covering design, tools, safety, and scaling. Includes a checklist and examples to get started.
Hermes Agent 0.13.0 introduces a Reflective Phase that lets the agent learn from its own actions, a significant token volume increase, and cleaner reasoning markers. These updates make the agent faster, smarter, and easier to integrate into real‑world projects.
A practical guide to n8n agentic builder that shows how to build Discovery and Supervisor Agents, secure them, and deploy useful workflows.
Frontman AI tool is an open‑source bridge that lets AI agents interact with a live web app by exposing the DOM, logs, and events as MCP resources.
OpenClaw’s Model Context Protocol (MCP) is a lightweight standard that lets AI agents share data cleanly and reliably. It reduces boilerplate, improves error handling, and enables complex multi‑agent workflows.
Clear guide to event driven AI agents. Learn core parts, tools, and step by step examples using AutoGen, n8n, and OpenCrabs.
OpenCrabs AI Agent is a self‑hosted chatbot that learns from conversations, heals itself, and supports multiple profiles. This guide covers installation, configuration, and real‑world use cases.
OpenCrabs AI Agent is a self‑hosted, self‑learning, and self‑healing AI assistant that runs on your own hardware. It supports multiple profiles, automatic recovery, and integration with Neura AI’s router.