# knowledgesidekick.org — agent index
# Open, not-for-profit. Research, standards, adoption of knowledge-first practice
# for agentic AI, LLMs, and personal assistants.
# Updated: 2026-09-24.

## What this site is
A small, flat, not-for-profit site about knowledge as a first-class layer in agentic systems.
Written for technical leaders funding or building agentic AI, LLMs, and personal assistants.
Same ideas as https://knowledgesidekick.com, open side.

## Top-level sections
- Home: https://knowledgesidekick.org/
- Why Knowledge: https://knowledgesidekick.org/why-knowledge.html
- Research: https://knowledgesidekick.org/research.html
- Standards: https://knowledgesidekick.org/standards.html
- Adoption: https://knowledgesidekick.org/adoption.html
- Blogs: https://knowledgesidekick.org/blogs.html
- Community: https://knowledgesidekick.org/community.html
- Internship: https://knowledgesidekick.org/internship.html
- Training: https://knowledgesidekick.org/training.html
- Free resources: https://knowledgesidekick.org/free-resources.html
- About: https://knowledgesidekick.org/about.html
- Contact: https://knowledgesidekick.org/contact.html

## Agent-oriented pages (new)
- A2A — agent-to-agent communication, standards, and knowledge exchange: https://knowledgesidekick.org/a2a/
- Agents — knowledge layer for agentic systems: forms, lifecycle, grounding: https://knowledgesidekick.org/agents/
- MCP — knowledge as a Model Context Protocol resource (knowledge servers, tool-backed knowledge): https://knowledgesidekick.org/mcp/
- llms.txt — machine-readable site index for LLMs and agents: https://knowledgesidekick.org/llms.txt (this file)
- agents.md — structured index for agent frameworks and crawlers: https://knowledgesidekick.org/agents.md

## Research deep-dives
- Why knowledge matters for agentic AI: https://knowledgesidekick.org/why-knowledge.html
- Knowledge in enterprise context: https://knowledgesidekick.org/enterprise.html
- Knowledge in personal assistant context: https://knowledgesidekick.org/personal-assistant.html
- Context engineering: https://knowledgesidekick.org/context-engineering.html
- Token savings & grounding: https://knowledgesidekick.org/token-savings.html

## Blog (chronological, newest first)
- 2026-09-22 Why knowledge fails first in agentic systems: https://knowledgesidekick.org/blogs/2026-09-22-why-knowledge-fails-first.html
- 2026-09-18 Context is not a bucket — it is a delivery problem: https://knowledgesidekick.org/blogs/2026-09-18-context-is-not-a-bucket.html
- 2026-09-14 Grounding is the flip side of token savings: https://knowledgesidekick.org/blogs/2026-09-14-grounding-is-the-flip-side-of-savings.html
- 2026-09-10 What enterprise agents actually need from knowledge: https://knowledgesidekick.org/blogs/2026-09-10-what-enterprise-agents-actually-need.html

## Standards and conventions covered
- Knowledge representation (entities, facts, procedures, policies, relationships)
- Knowledge lifecycle (creation, representation, extraction, updates, deprecation)
- Grounding (claims tied to retrievable, current, permitted knowledge)
- The agent interface (clean documented surface for agent engines)
- Discoverability for agent engines (AEO / Agent Engine Optimization; llms.txt)

## Author
Janardan Revuru — M.Tech Data Science (BITS Pilani, 2024); PhD in progress on multi-agent
communication (around 2028); three patents; AI CoE built 0->50 engineers and 15 models;
organizer of Bengaluru JavaScript Meetup (https://meetup.com/javascriptmeetup).
Portfolio: https://janalogy.com
Email: janardan.revuru@gmail.com
LinkedIn: https://www.linkedin.com/in/rjanardan

## Business-facing side
Advisory, training delivery, evaluations, audits:
https://knowledgesidekick.com

## Machine-readable formats provided
- llms.txt (this file): https://knowledgesidekick.org/llms.txt
- agents.md (extended machine index): https://knowledgesidekick.org/agents.md
- Sitemap: https://knowledgesidekick.org/sitemap.xml
- robots.txt: https://knowledgesidekick.org/robots.txt