ravichaganti.com valid
Ravikanth Chaganti
Ravikanth Chaganti on AI infrastructure, Agentic AI, Cloud Native infrastructure, and automation.
- Authority
- 46 reach 0 · trust 10 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://ravichaganti.com/llms.txt
- Sections
- 1
- Links
- 233
- Size
- 138546 bytes
- Registered
- 2008-02-06
- Country
- United States Hosting inference
- Hosting country
- United States Hosting inference
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-26T09:10:12.800Z
- Last checked
- 2026-10-26T09:10:13.532Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T09:10:12.820Z. Cached copy · Source on ravichaganti.com
# Ravikanth Chaganti
> Ravikanth Chaganti on AI infrastructure, Agentic AI, Cloud Native infrastructure, and automation.
## Blog Posts
- [Connecting Desktop AI Agents to Hugo with WebMCP Local Relay](/blog/connecting-desktop-ai-agents-with-webmcp-local-relay/index.md): In our previous post, we implemented WebMCP tools on a Hugo static site for in-browser agents. But how can desktop AI assistants like Antigravity, Claude Desktop, and Cursor call those in-browser tools? Here is how WebMCP Local Relay bridges the gap and the exact changes we made to connect live browser tabs to desktop agents.
- [Adding WebMCP Support to Hugo Static Sites](/blog/adding-webmcp-support-to-hugo-static-sites/index.md): The Model Context Protocol isn't just for backend servers. With WebMCP, websites can expose structured JavaScript tools directly in the browser for AI agents to discover and execute. Here is how to implement WebMCP on a Hugo static site without any backend servers.
- [Agent harness - Why do we need it?](/blog/agent-harness-why-do-we-need-it/index.md): A model is a text completion machine. It has no hands, eyes, or memory. The harness is what gives it the ability to act and remember.
- [Agent skills for C4 diagram and web demo generation](/blog/agent-skills-for-c4-diagram-and-web-demo-generation/index.md): Agentic coding requires domain knowledge, and this domain knowledge is provided to the agents using skills.
- [apv: A plugin manifest validator for agent plugins](/blog/apv-a-plugin-manifest-validator-for-agent-plugins/index.md): The agent plugins specification defines a packaging format for agent resources such as skills and MCP configurations. apv is a plugin manifest validator.
- [Agent Plugins: Package reusable agent components into portable and interoperable plugins](/blog/agent-plugins-package-reusable-agent-components-into-portable-and-interoperable-plugins/index.md): AI agent clients (IDEs, CLIs, platforms) each invented their own plugin packaging format — even when plugins contained the same underlying components.
- [Navigating Agent AI Standards: Foundations, Protocols, Competition, and Path to Convergence](/blog/navigating-agent-ai-standards-foundations-protocols-competition-and-path-to-convergence/index.md): The Agent Directory Service directories can be exposed to LLMs directly using the Model Context Protocol and deploying the entire stack into a production environment.
- [The Future of Agentic Architectures Might Just Be Written in Our Past](/blog/the-future-of-agentic-architectures-might-just-be-written-in-our-past/index.md): Knowledge is an essential part of an agent harness!
- [Fighting cognitive debt in the age of AI coding](/blog/fighting-cognitive-debt-in-the-age-of-ai-coding/index.md): AI coding agents not only increase developer velocity but also cognitive debt!
- [OpenClaw installation and gateway bootstrap](/blog/openclaw-installation-and-gateway-bootstrap/index.md): The best way to understand OpenClaw is to try it. The safest
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| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +2 | FR | 60 | ✓ | ✓ | |
| aiteamguide.com | AITeamGuide | documentation AI and machine learning Marketing +4 | — | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Infrastructure +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Productivity +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | — | 74 | ✓ | ✓ |
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