Harness Engineering for Self-Improvement | Lil'Log. Table of Contents. Harness Design Patterns. Pattern 1: Workflow Automation. Pattern 2: File System as Persistent Memory. Pattern 3: Sub-agent and Backend Jobs. Case study: Coding Agent Harness. Harn
Autobrowse: The Mythos moment for Browser Agents is here
TL;DR Browser agents have an amnesia problem. They re-discover every site from scratch on every run, paying the full discovery tax forever. Autobrowse fixes that by letting an agent iterate on a real task until it converges, then graduating the winning approach into a durable, reusable skill. That skill is memory the next agent, teammate, or customer can pick up and run without “re-learning” what's already been learned.
Huge credit to @_
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GitHub - kingbee-helix/helix-agent: Personal AI agent harness powered by Claude Code. Always-on access through Discord, Telegram, or a built-in web UI. · GitHub. Skip to content. You signed in with another tab or window. Reload. to refresh your sessi
Developer’s Guide to Building ADK Agents with Skills - Google Developers Blog . Developer’s Guide to Building ADK Agents with Skills. APRIL 1, 2026. Lavi Nigam. Developer Relations Engineer. Shubham Saboo. Senior AI Product Manager. Share. Facebook.
One brain, many harnesses. Portable .agent/ folder (memory + skills + protocols) that plugs into Claude Code, Cursor, Windsurf, OpenCode, OpenClaw, Hermes, or DIY Python — and keeps its knowledge when you switch.
I've been testing both OpenClaw and Hermes side by side. OpenClaw is still my main driver, but after spending a few days with Hermes, I have to admit that Hermes feels more capable in a lot of situations, especially with smaller models. What stood out to me most is that Hermes seems much more autonomous. When the task is clear, which is usually how I try to interact with AI systems, it tends to just go off and do the thing with very little hand-holding, and a lot of the time it one-shots the tas
GitHub - alchaincyf/hermes-agent-orange-book: Hermes Agent 从入门到精通 · 橙皮书系列 · Nous Research 开源 AI Agent 框架实战指南 · GitHub. Skip to content. You signed in with another tab or window. Reload. to refresh your session. You signed out in another tab or window
How to Build Your First AI Agent with Zero Experience — The Complete Guide.
Everyone is talking about AI agents.
Save this :)
Agent frameworks. Multi-agent orchestration. Agentic loops. Tool calling. Sub-agent coordination.
It sounds impossibly complex. Like you need a computer science degree and three years of backend experience just to get started.
You do not.
I am going to walk you through building your first real AI agent in a single weekend. Not a chatbot. Not a one-off automation. A
Got the email this morning. Third-party harness support ends today at 12pm PT. I run 17 agents on OpenClaw - 10 platform promo agents, 7 content pipeline crons. All on a Max subscription.
The good news: Claude Code is explicitly covered by the subscription. And it turns out the migration is embarrassingly simple.
What I did:
- Created a CLAUDE.md file in each OpenClaw workspace directory. This is the entry point - tells Claude "you are this agent, read HEARTBEAT.md, follow it step by ste
I've helped fix 200+ OpenClaw setups over the past few weeks. Reddit, Discord, DMs. The pattern is just the same: people break things in their first week that take 5 minutes to prevent but 5 hours to fix later.
OpenClaw now has 310,000+ GitHub stars. NVIDIA just announced NemoClaw at GTC. The v2026.3.22 update dropped on March 23 with 12 breaking changes and 30+ security patches. A fresh wave of people are installing for the first time, and a bunch of existing users just had their setups silent
aurl
A command line tool for turning any API into a CLI command, supporting OpenAPI 3.0, OpenAPI 3.1, Swagger 2.0, and GraphQL. Built for AI agents — aurl makes APIs as easy to use as tool calls.
Register any API by name, and aurl parses the spec to auto-detect auth, validate requests, generate documentation, and provide example bodies. Agents like Claude Code, Codex, and Cursor can discover endpoints via --help, understand parameters and types via describe, and make validated requests — all without reading raw API docs.
Somebody just mapped the ENTIRE Hermes Agent ecosystem
40+ skills, tools, integrations, and resources for @NousResearch's agent, all in one curated list
highlights:
▫️ skills that upgrade themselves after every run
▫️ 734 security playbooks, ready to deploy
▫️ visual UI for memory, sessions, and skills
▫️ remote control your Android from your agent
▫️ Claude Code -> Hermes task handoffs
▫️ full OpenClaw migration in one command
▫️ AI council that debates before executing
every entry has a re
Your agent is
working blind
ToggleX watches what you work on and streams structured context to your OpenClaw agent — projects, sessions, decisions, intent. Save 10+ hours a week you currently spend re-explaining yourself to your tools.