Open Source AI Agents
Adolfo Usier2026-05-19T05:35:06+00:00A clear guide to open source ai agents, covering what they are, security, architecture, and a simple plan to start today.
A clear guide to open source ai agents, covering what they are, security, architecture, and a simple plan to start today.
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.
Long Context Models let AI handle much larger text windows. This guide explains SubQ, mobile Gemini, Claude Dreaming, benchmarks, and clear steps to adopt long memory.
OpenCrabs self‑healing agent now supports video vision, auto‑JSON repair, and a new skill system. Learn how this Rust‑based AI can fix itself and run on any channel.
Truelens is an AI‑powered compliance engine that automates building regulation checks, saving contractors time and money.
OpenCrabs is a self‑hosted AI agent that learns and fixes itself. Built in Rust, it runs locally, keeps data private, and can auto‑generate new skills.
MIT’s SEAL framework lets large language models generate their own training data and edit themselves, making AI systems more autonomous and cost‑effective.
A simple, practical guide to Self Adapting LLMs, with examples, workflows, and safety checks for teams building smart apps.
OpenCrabs AI agent is a self‑hosted bot that learns from its own actions and fixes mistakes without human help. It runs locally, keeping data private while improving over time.
A practical guide to n8n agentic builder that shows how to build Discovery and Supervisor Agents, secure them, and deploy useful workflows.