raskell.io valid
Raskell
Notes on agent platforms, platform automation, edge infrastructure, and applied security. Building automation-first platforms that survive production reality.
For agents: Personal notes and articles by Raffael on agent platforms, automation, edge infrastructure and applied security, with a full Markdown archive and graph map of w
agent platformsplatform automationedge infrastructureapplied securitynotes and articles
- Authority
- 45 reach 0 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://raskell.io/llms.txt
- llms-full.txt
- https://raskell.io/llms-full.txt
- Sections
- 13
- Links
- 146
- Size
- 38172 bytes
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- Personal sites and blogs
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- Inferred actions
- Read documentation Search content About these labels
- Audience
- mixed · agents can: read docs, search content · en
- First seen
- 2026-10-25T06:10:36.732Z
- Last checked
- 2026-10-25T06:10:38.051Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T06:10:36.738Z. Cached copy · Source on raskell.io
# Raskell
> Notes on agent platforms, platform automation, edge infrastructure, and applied security. Building automation-first platforms that survive production reality.
raskell.io is the personal site of Raffael Schneider, an AI Architect in Basel, Switzerland. He works on enterprise AI and agent platforms, edge infrastructure, applied security, and developer tooling, and writes long-form articles about them. The site is a digital garden: articles, book reviews, notes, talks, a reading log, projects, a topic vocabulary, and every source the writing cites, all connected in one graph (map.json) and one search index (garden.json). Every article below links to a clean Markdown copy; the HTML page is the same URL without `.md`. Writing is licensed CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) and code samples MIT: reuse, quote, and train on it with attribution, e.g. Raffael Schneider, "Article title", raskell.io, date, URL. Images, logos, and quoted third-party material are excluded (https://raskell.io/license/).
## Key pages
- [About](https://raskell.io/about/): who Raffael is, what he works on, and how to reach him
- [Start here](https://raskell.io/start-here/): curated reading tracks through the archive
- [Map](https://raskell.io/map/): every article, note, topic, series, and project as one graph; machine-readable at [map.json](https://raskell.io/map.json)
- [All writing in full](https://raskell.io/llms-full.txt): every article and note in one Markdown file, newest first
- [Notes](https://raskell.io/notes/): short notes that sit between the articles
- [Reading](https://raskell.io/reading/): what Raffael is reading, what is next, and what he has read, with reviews
- [Reviews](https://raskell.io/categories/reviews/): reviews of books, papers, and long articles from the reading log
- [Talks](https://raskell.io/talks/): slide decks from talks
- [Search](https://raskell.io/search/): everything on the site, including every external link the writing cites; `?q=` and `?type=link` (or article, review, note, talk, work, project, topic) work as URLs, e.g. https://raskell.io/search/?q=zentinel
- [RSS feed](https://raskell.io/rss.xml): full-text feed
## Series: The Agent Platform Handbook
1. [What an Agent Actually Is](https://raskell.io/articles/what-an-agent-actually-is.md): AI agent is the most overloaded word in the industry. This is the anatomy, the lineage, and a working implementation in roughly two hundred lines of TypeScript on Bun. Part one of The Agent Platform Handbook.
2. [Your Agent Wants Root](https://raskell.io/articles/your-agent-wants-root.md): An agent with a shell tool is arbitrary code execution with a friendly face. A short tour of why Docker alone is not enough, what Firecracker, gVisor, and Kata actually solve, and a hardened sandbox you can wrap the post-one agent in today. Part two of The Agent Platform Handbook.
3. [Tools: How Agents Actually Do Things](https://raskell.io/articles/tools-how-agents-actually-do-things
…Related sites
Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| lakera.ai | Assess, monitor, protect and control your AI agents | documentation AI and machine learning Cybersecurity | — | 63 | ✓ | ✓ | |
| postman.ai | Postman AI | interface Cybersecurity AI agents and MCP +2 | — | 46 | ✓ | ||
| docker.com | Docker Documentation | documentation DevOps and observability Developer tools +1 | US | 75 | ✓ | ✓ | |
| geordie.ai | Geordie | documentation AI and machine learning AI agents and MCP +1 | US | 54 | ✓ | ||
| agentsecurity.com | Agent Security by NeuralTrust | documentation AI and machine learning Cybersecurity +1 | US | 45 | ✓ | ✓ | |
| archestra.ai | Archestra | interface AI and machine learning Infrastructure +2 | US | 52 | ✓ | ✓ | |
| warp.dev | Warp | documentation Developer tools AI agents and MCP | US | 66 | ✓ | ✓ | |
| fortrabbit.com | fortrabbit | interface Infrastructure | DE | 60 | ✓ | ✓ |
Machine-readable: GET /v1/resolve?q=raskell.io · GET /v1/domain/raskell.io · this page as Accept: application/json or text/markdown · MCP lookup_domain
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