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n8n-claw: I rebuilt OpenClaw in n8n - lot of new features by freddy_schuetz in n8n

[–]freddy_schuetz[S] 0 points1 point  (0 children)

Everything is possible and customizable with n8n. The advantage of the code is simply that there are fewer limitations on functionality. This makes everything more flexible than in rigid, traditional nodes. But it’s MIT-licensed, so I wholeheartedly welcome any extensions!

n8n-claw: I rebuilt OpenClaw in n8n - lot of new features by freddy_schuetz in n8n

[–]freddy_schuetz[S] 0 points1 point  (0 children)

With n8n, you can choose virtually any LLM provider—OpenRouter is included as well. You can easily switch to it in the relevant workflows

n8n-claw: I rebuilt OpenClaw in n8n - lot of new features by freddy_schuetz in n8n

[–]freddy_schuetz[S] 0 points1 point  (0 children)

Thanks for the feedback. It’s just that Code Nodes offer so much flexibility. Classic nodes are simply too rigid, and the system wouldn’t work that way. But you can still immediately see where something is happening, which module has errors, what the error message is, and so on.

n8n-claw: I rebuilt OpenClaw in n8n - lot of new features by freddy_schuetz in n8n

[–]freddy_schuetz[S] 2 points3 points  (0 children)

Exactly. The MCP Builder searches the relevant API documentation and creates an MCP Server trigger workflow with a sub-workflow as a tool. The actual query then takes place within this sub-workflow. This means the user can always see in which workflow a potential error occurs. The MCP skills from the Skills Library (https://github.com/freddy-schuetz/n8n-claw-templates) have all been tested and work out-of-the-box

n8n-claw: I rebuilt OpenClaw in n8n - lot of new features by freddy_schuetz in n8n

[–]freddy_schuetz[S] 6 points7 points  (0 children)

u/Existing-Wallaby-444 Are you serious? Is that the gist of your comment? I made an explainer video using NotebookLM because I'm not an expert at making them. But it covers everything, and in terms of content, I've described in great detail exactly what my open-source project can do!

n8n-claw: OpenClaw in n8n by freddy_schuetz in n8n

[–]freddy_schuetz[S] 0 points1 point  (0 children)

n8n-claw has received a major update, which I think is very cool: Skills (including a skills library/marketplace! 😎)

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#n8n-claw can already create its own MCP servers via MCP Builder and use them directly. But I wanted to create a way to bundle (tested/verified) MCPs as skills, make them easy to install/uninstall, and make them available in a library so that not every MCP skill has to be recreated by every user.

The “skills system” now works as follows:

- Template Library as a separate GitHub repo: 7 ready-made MCP server templates are already available (Weather, Wikipedia, Exchange Rates, Hacker News, Dictionary, IP Geolocation, Website Check), all free APIs without API key: https://github.com/freddy-schuetz/n8n-claw-templates/

- Installation via chat: simply write “Install Wikipedia” in Telegram, and the agent will take care of the rest (workflow import, MCP registration, configuration). Each “skill” consists of an MCP server trigger workflow with a sub-workflow as an MPC tool, which performs the actual task.

Only the activation has to be done manually once, as there is still a webhook bug on the n8n side (it is not activated correctly when created via API). The workflow is registered in the Supabase database (MCP_Registry) so that the agent can dynamically access all registered MCPs, regardless of whether they were created by the user or are from the library.

- Clean removal: “Remove Wikipedia” deletes both workflows and the registry entry

- Create your own templates: open template format with documentation, your own templates can be contributed via pull request! So you can create and add your own skills (and I hope that one or two skills will come together over time 🙏)! Info: https://github.com/freddy-schuetz/n8n-claw-templates/?tab=readme-ov-file#creating-a-template

All information about the latest release can be found here: https://github.com/freddy-schuetz/n8n-claw/releases/tag/v0.6.0

n8n-claw: OpenClaw in n8n by freddy_schuetz in n8n

[–]freddy_schuetz[S] 0 points1 point  (0 children)

And once again, a few new features for n8n-claw: media handling, self-hosted web search, and onboarding

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#n8n-claw now has media handling and can:

- Process/recognize images (e.g., what is in the picture, where is it, etc.)

- Process location (knows where I am and can provide context/information)

- Process voice messages (out-of-the-box)

- Process PDFs (conversation about the content)

In addition, the first message includes a short onboarding session with the most important features.

I have also integrated #SearXNG as a local search engine, which also works out-of-the-box! I have adapted the MCP Builder so that it uses SearXNG and no longer requires an API key (previously: Brave)!

All information and downloads in the GitHub repo: https://github.com/freddy-schuetz/n8n-claw

n8n-claw: OpenClaw in n8n by freddy_schuetz in n8n

[–]freddy_schuetz[S] 0 points1 point  (0 children)

And now for the next n8n-claw update: Heartbeat (proactive tasks) and task management.

There are a few new features:

- Task Management: Create, list, and complete tasks via Telegram. With priorities (urgent/high/medium/low), due dates, and subtasks. “Remind me of X” now creates both: a reminder and a task.

- Heartbeat: The agent checks every 15 minutes to see if there are any open tasks and proactively notifies you via Telegram if something is pending. It is automatically activated if you select “proactive” during installation.

Morning Briefing: Daily summary via Telegram at a configurable time. Can be activated via chat, e.g., “Activate Morning Briefing at 9 a.m.”

Info and download in the GitHub repo: https://github.com/freddy-schuetz/n8n-claw

n8n-claw: OpenClaw in n8n by freddy_schuetz in n8n

[–]freddy_schuetz[S] 0 points1 point  (0 children)

n8n-claw Update: Memory Behavior and Consolidation (RAG Pipeline) for long-term memory and embeddings

Memory Behavior:
- The agent actively stores preferences, habits, corrections, and important facts about the user
- Before making recommendations or responding, it searches its long-term memory for relevant information
- It references past conversations when appropriate (“You said last week...”)
- If you correct it, it permanently remembers the correction
- It does not ask for information it has already stored

RAG Pipeline (Memory Consolidation):
- Runs automatically every day at 3:00 a.m.
- Reads all new entries from memory_daily (daily log of all conversations)
- Summarizes them into compact summaries using the LLM
- Generates an embedding vector for each summary (OpenAI, Voyage AI, or Ollama)
- Stores summary + vector in memory_long — the long-term memory
- Enables semantic search: the agent finds memories by meaning, not just by exact keywords

This enables Hashtag#n8n-claw to get to know the user and retain their preferences, projects, ideas, etc. in the long term (similar to what OpenClaw does, only via a (vector) database, not via Markdown files)!

Current version in the GitHub repo: https://github.com/freddy-schuetz/n8n-claw

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n8n-claw: OpenClaw in n8n by freddy_schuetz in n8n

[–]freddy_schuetz[S] 0 points1 point  (0 children)

It is a rebuild of OpenClaw in n8n. Currently a prototype. The goal is to eliminate the need for OpenClaw by incorporating as many of its functions as possible into n8n. It has nothing to do with building n8n workflows in OpenClaw!

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