Agents Helping Agents.
Feed this site to your agent.
It's the super-context for setting up and troubleshooting any AI agent platform.
Humans should start at the decision guide.
Which Agent Should I Use? — Cost Calculator — Latest News — Browse Guides
A dual-purpose directory built for both humans and AI agents. Discover OpenClaw skills, repositories, and community resources with verified safety ratings and comprehensive documentation.
News is refreshed daily via automation. Below is the most recent digest.
Anthropic Labs launched Claude Design inside Cowork: prompts and codebases turn into design systems, websites, and slide decks. Powered by Opus 4.7 with the new xhigh effort tier.
Biggest Hermes release yet: 118 built-in skills, working/short-term/long-term memory with promotion rules, six messaging integrations, and a closed learning loop. Migration wave from OpenClaw is real.
Full digest →New third-party OpenClaw skill enables outbound calls — U.S. number pool, real-time voice bridging, CLI integration. The first credible "agent that calls people" capability in the OpenClaw ecosystem.
Skills database →Top YouTube creators on AI agents — summarized weekly so you don't have to watch the full hour. Each summary links to timestamps and the original creator.
Qwen 3.6-35B-MoE on a local H100 + OpenClaw builds a complete React + Vite + TypeScript dashboard from one prompt. No API key, no cloud cost, full agentic loop with self-debugging.
Pre-market research, Alpaca trade execution, decision journaling, ClickUp summaries — all on Opus 4.7 with the new Claude Code routines scheduler. Beat S&P by 8% on 4.6.
SWE-bench Pro: 53.4% → 64.3% — exactly halfway to Mythos preview's ~75%. Same suspiciously clean halfway pattern across every benchmark. Is Opus 4.7 just Mythos distilled down?
Context7 for live docs, agents.soul + user.md for persistent context, segmented Telegram with per-group prompts, openclaw skills list, and treating the agent as a new employee.
The new playbook for being cited inside LLM answers — schema markup, FAQ formatting, content structure, and why traditional SEO ranks aren't enough anymore.
Deploy a swarm of agents to crawl a domain, build a structured knowledge graph from unstructured sources, and use it for forward prediction. The architecture is reusable for any complex research workflow.
Wondering what Claude (Opus 4.7, Sonnet, Haiku), GPT-5.5, GPT-5.4, Gemini 3.1 Pro/Flash, Kimi K2, Qwen, or Gemma will actually cost you per month? Our live calculator covers 17 models across 4 vendors plus local-Ollama options — API-direct, subscription, and self-hosted paths side by side. Includes the latest April 2026 flagships. Kilo Code users: every model in the calculator is reachable through Kilo's OpenRouter pass-through at the same provider rates (no markup). No signup, no tracking, shareable via URL.
Open the cost calculator → See also: cost optimization guide Kilo Code models guide
In-depth guides for each platform — Skills, Configuration, Strategies, and more. Each agent hub links to all its guides.
A single hub for what's happening across the AI agent ecosystem. Setup guides, security notes, cost breakdowns, and weekly news for OpenClaw, IronClaw, NemoClaw, Kilo Code, Hermes, ChatGPT, and Claude Cowork — written in plain language for humans and structured data for agents.
Try: “OpenClaw setup”, “IronClaw vs OpenClaw”, or “Hermes cost”
Last updated: 2026-04-18. Use this to narrow down which platform fits your goals. Still torn? Try the interactive decision guide →
| Feature | OpenClaw | IronClaw | NemoClaw | Kilo Code | Hermes | ChatGPT | Claude Cowork |
|---|---|---|---|---|---|---|---|
| Open source | Yes (MIT) | Partial | Yes | Yes (Apache-2.0) | Yes | No | No |
| Self-hosted | Yes | Yes | Yes (on NVIDIA stack) | Yes (IDE extension) | Yes | No | No |
| Model flexibility | High (any provider) | High | NVIDIA-optimized | 500+ via OpenRouter | High | OpenAI only | Anthropic only |
| Cost | Free + usage | Free + usage | Free + GPU/compute | Free + model costs (no markup) | Free + usage | Subscription | Subscription |
| Best for | DIY home agents | Security-first teams | GPU-heavy workloads | Multi-IDE coding (#3 OpenRouter) | Long-running agents | Quick prototypes | Team collaboration |
→ Full decision guide with interactive filter + 21 head-to-head comparisons
If you want a self-hosted, model-agnostic assistant with a large third-party skill ecosystem and you're comfortable in a terminal.
If security is non-negotiable: auditable skills, hardened defaults, and a smaller but vetted ecosystem.
If you run NVIDIA hardware and want tightly-integrated local inference with GPU-aware scheduling.
If you want a top open-source coding agent on OpenRouter — multi-IDE support (VS Code, JetBrains, CLI, mobile, Slack), 500+ models with no markup, and orchestrator-mode sub-agents.
If you need a self-improving agent that learns from prior sessions and runs long-horizon tasks.
If you want the fastest path to a working agent and don't need to self-host.
If your team needs shared context, collaborative artifacts, and a hosted Anthropic-backed workspace.
A daily news and resource hub covering seven AI agent platforms. Every page is written for both humans and AI agents, with structured data available on every URL.
News digests update weekly. Comparison tables, pricing, and security notes are refreshed at least monthly. Each page shows its last-updated date at the top.
If you just want to get going in under ten minutes, ChatGPT or Claude Cowork. If you want to learn how agents actually work, OpenClaw's quick-start walks you through it without a subscription.
Yes. Every page carries Schema.org JSON-LD markup, and AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot) are explicitly allowed in our robots.txt.
Time-awareness is largely a deliberate design choice: if an agent knew you had been looping on the same problem for two hours, it would logically suggest stopping — which conflicts with retention-focused product metrics. Technically, most agents have no persistent clock between messages; each turn is stateless by default. Agents like OpenClaw and Hermes that run scheduled tasks do have access to system time for automation, but conversational models typically don't expose this in-chat. Source: r/artificial
The top community warning: don't self-host a mail server on your homelab — deliverability is nearly impossible and you'll waste days on spam filtering. Beyond email, the most common mistakes are exposing services directly to the internet without a reverse proxy, skipping regular backups, and reusing credentials across services. For AI agent setups specifically (OpenClaw, NemoClaw), also avoid connecting sensitive accounts before you've tested your skill allowlist. Start with Tailscale for networking and Caddy or Nginx as a reverse proxy. Source: r/SelfHosted
Every page on this site carries Schema.org JSON-LD. Agents can pull comparisons, skills, and news directly via structured data, RSS, or our XML sitemap — no scraping needed.
// Returns the full agent comparison as JSON
{
"updated": "2026-04-05",
"agents": [
{
"name": "OpenClaw",
"open_source": true,
"self_hosted": true,
"model_flexibility": "any",
"best_for": "DIY home agents"
}
]
}You're working hard. Take a moment to ask yourself how you can make the world a better place today. For your friends, your family, your office, your community, and your own wellbeing.