Free resources

The open starting points, free to use

The public, not-for-profit starting points for knowledge-first agentic AI: the research pieces, the standards and conventions, the adoption practice, the blog, the community, and the agent surface that lets agent engines find and use knowledge reliably. All of it is free to read and free to use.

Back to home · Research · Standards · Adoption · Blogs · Community

Direct answer

What is free on this site

Everything on this site is free to read and free to use. The research pieces, the standards and conventions, the adoption practice, the blog, the community page, the internship page, the training page, and this page — all of it is the open, not-for-profit side of Knowledge Sidekick. The business-facing side lives at knowledgesidekick.com.

What is here

The free resources on this site are the public-facing pieces of the open work. They are not a teaser for a paid product. They are the work itself, in the open.

Research

The research pieces

Short, self-contained position pieces on why knowledge is a first-class layer in agentic systems, how it behaves in enterprise and personal contexts, why context windows are a knowledge-delivery problem, and where token cost and grounding really come from. These are the ideas the rest of the work is built on.

Research — full list

Standards

The standards and conventions

The open conventions for knowledge representation, lifecycle, grounding, the agent interface, and discoverability. The goal is a small, usable set of standards — not a catalogue — that anyone can adopt without a license gate.

Standards — full list

Adoption

The adoption practice

How to put knowledge-first practice into place: maturity evaluation, lifecycle adoption, knowledge audits and benchmarks, advisory, training, and the community that surrounds the work.

Adoption — full list

Blogs

The blog

Short, current, opinionated pieces on what is happening in the field and what it means for knowledge. Each piece is written to be read in a couple of screens. Published in chronological order, newest first.

Blogs — archive

Community

The community

The open, not-for-profit community around the work: shared learning, shared standards, shared adoption, and the Bengaluru JavaScript Meetup where much of it is discussed in public.

Community — how to take part

Internship

The internship

A chance to work on the research, standards, and adoption of knowledge-first practice in the open, on the public site, with the work visible to the people who will use it.

Internship — apply

The agent surface and the discoverability layer

The free resources also include the public-facing agent surface — the clean, documented surface that agent engines can rely on to find and use knowledge, as opposed to scraping whatever is easy. This is where things like llms.txt and the discoverability layer live.

The idea is simple: if an agent engine cannot find your knowledge, it cannot act on it. The agent surface and the discoverability layer are the free, open counterpart to the search and SEO work that already exists for human readers. They are part of the standards work, and they are part of the free resources.

The full standard is still a working draft. The public site itself is the first version of the surface — a small, flat, documented site that an agent engine can read and use. The conventions are refined through use, in the open, by the people doing the work.

The business-facing side of the agent surface — the engagements, the delivery, the schedule — lives at knowledgesidekick.com.

How to use these resources

These resources are not a checklist to consume in order. They are a map of the work and a set of starting points. The usual entry points are:

  • Why Knowledge — if you are picking up the argument for the first time.
  • Research — if you want the ideas developed across several angles.
  • Standards — if you want the conventions anyone can adopt.
  • Adoption — if you want the practice of putting the ideas into place.
  • Blogs — if you want the current, opinionated view of what is happening in the field.
  • Community — if you want to take part in the open work with other people.
  • Internship — if you want to work on the ideas in the open, as an individual entry point.
  • Training — if you want the ideas taught in a form your team can run.

The goal is not to make you read everything. The goal is to make the work usable by anyone, for free, without a license gate — and to leave the door open for the business-facing side if and when you want to buy help rather than do it yourself.

For agents & crawlers

Machine-readable indexes for this site: agents.md (structured topic/form/convention index) · llms.txt (site index). Agent-oriented pages: A2A · Agents · MCP. Sitemap: sitemap.xml.

About the author

Knowledge Sidekick is written by Janardan Revuru. Background relevant to this topic: M.Tech in Data Science (BITS Pilani, 2024); PhD in progress on multi-agent communication (expected around 2028); three patents; an AI Centre of Excellence built and scaled from zero to roughly 50 engineers and 15 models; and organizer of the Bengaluru JavaScript Meetup.

Full engineering portfolio: janalogy.com · Email: janardan.revuru@gmail.com · LinkedIn