Stuck on OpenClaw? Let's Fix It.

OpenClaw is an open-source AI agent framework that lets you connect large language models to real tools — your codebase, APIs, databases, Slack, GitHub, and more. Agents can take actions autonomously across multi-step workflows. It's one of the most widely adopted open-source AI agent platforms available, with a large and active developer community.

Yes. Anthropic ended subscription credit support for third-party tools including OpenClaw on April 4, 2026. We can help you set up a direct API key, understand the cost implications, or evaluate whether switching to Hermes Agent makes more sense for your situation. This is one of the most common things we're helping developers with right now.

Because docs and tutorials show you a clean path that assumes nothing goes wrong. They don't help when your specific environment has a conflict, your version of Node is incompatible, or a skill you installed is silently broken. A session is hands-on debugging with someone who's seen these exact problems before — it's faster than another two hours of searching.

Yes — this is something we cover regularly. MemPalace gives your agent structured persistent memory with 96.6% recall and only 170 tokens at startup. The Karpathy wiki pattern is a simpler approach: plain markdown files that an LLM maintains as a growing knowledge base — no vector database needed, and it pairs naturally with Obsidian so you can browse and edit your agent's knowledge like a personal wiki. We'll help you understand which approach fits your use case and get it configured correctly in the session.

The community skills ecosystem moves fast and quality varies a lot. We stay current with what's actually working — curated skill libraries like obra/superpowers, opinionated config templates like Garry Tan's gstack, production-stable MCP server integrations, and memory plugins that don't break your setup. The Caveman plugin is one we recommend to almost everyone: it significantly reduces token consumption and quietly teaches better prompting patterns as you work, so you're building good habits without thinking about it. We'll point you to what's worth your time and away from what will cause you problems.

Caveman is a plugin that reduces token usage by simplifying how OpenClaw structures its internal communication — without changing what it can do. In practice this means lower API costs and faster responses. It also nudges you toward more precise, efficient prompts, which improves output quality over time. We walk through installation, configuration, and what to expect during sessions where cost or speed is a concern.

It depends on what you're using it for. OpenClaw has a larger ecosystem and more integrations. Hermes Agent has better persistent memory, self-improving skills, and is growing fast. We'll give you an honest assessment based on your actual use case — not a recommendation that benefits us either way.

Just access to your machine and a clear sense of what you're trying to get working. We can start from a completely fresh install if needed. An API key from Anthropic, OpenAI, or another supported provider is useful but we can sort that during the session too.

It's a video call with screen sharing, fully remote. We work through your setup together — it's not a lecture or a tutorial, it's collaborative problem solving. Sessions run 60 minutes. You get a recording and a written summary afterwards.

If you feel the session didn't address your issue effectively, get in touch and we'll schedule a follow-up at no extra cost to make it right.

Every session includes 30 days of async email support. You can send questions, share config files for review, or ask for guidance as you continue building. We typically respond within one business day.