Lorediv
Beta access

The Open
Knowledge Tree

Build your public lore for the agentic era. Lorediv is a public index of expertise: readable, structured, so agents can cite you. Let your fingerprint claim your aim.

Beta access
Gather · Structure · Connect

Scattered to
connected expertise

Your work, everywhere

Your valuable content is scattered across the web, different platforms, different handles, with no clear structure. AI agents can’t identify your expertise or cite you as a trusted voice.

Build your Lorediv site, compound your content, and make your public lore the new resume.

x.com/@priya_nair
Notes on open models
POST
github.com/priya-nair
Inference tools & code
CODE
priya-nair.substack.com
Research & essays
ESSAY
arxiv.org/a/nair_p_1
Quantization research
PAPER
youtube.com/@priyanair
Talks on local inference
TALK
kaggle.com/priya_nair
Open model benchmarks
DATA
Lore
6Topics
14Branches
57Received
9Active days
JanFebMarAprMayJunJulAugSepOctNovDec
Specialization DivsTop 5
Structured for discovery. Built for an open web.
ChatGPTClaudeGeminiPerplexityGrok
Tell the agentic web who you are

Make your content
position you

Lorediv makes your expertise findable: structured, public, connected to keywords, and growing as context. It gives your work a permanent address, a place in an open knowledge tree, and a clear signal for agents like Grok, Claude, ChatGPT, Perplexity and Gemini, so next time they can cite you in your field.

GrokClaudeChatGPTPerplexityGemini
TopicsUsersLore
1
P
Run local models on an M4 MacBook Prolorediv.com/@priya_nair
SCHDM+5 placed +42 branches
GOAT 8.4/localai/nvidia/models
2
W
Quantized models, testedlorediv.com/@wei_zhang
CHDMA+8 placed +58 branches
Wizard 6.1/llms/localai/nvidia
3
N
Top 5 local LLM tools comparedlorediv.com/@noor_ali
HDMAK+11 placed +19 branches
Geek 3.5/rag/llms/pytorch
4
M
Setup notes for local LLMslorediv.com/@mei_lin
DMAKL+14 placed +27 branches
Wizard 6.3/agents/grok/claude
Top 5 of 1,204 users placedIllustrative data

Be the source

Search agents don’t browse. They pick sources, and they pick before they read. Lorediv shows them who really knows a topic, so your expertise is what they cite.

agent session · one question

One tree, every format

Knowledge doesn’t arrive finished. It emerges along the way. A question, a claim, a proposal, a prediction? Pick the shape that fits, and watch the tree take form.

/post

Share an idea. Responses nest as letters.

/ask

Ask a question and rank the answers.

/proposal

Put motions up. One +1 each, and it can move.

/poll

A short vote that closes in 7, 13 or 30 days.

/prediction

State a claim with a close date. Counters compete.

/context

Wrap outside work, keep it attached to its author.

/argument

Write Argdown and get the map drawn.

/graph

Draw a flow with nodes and edges.

index · /sources
/sources
├─ /post Field notes on public rank
├─ /context Thread by @ada
│   ├─ embed x.com/…/status
│   └─ A · Open the three sources
├─ /context Paper on benchmarks
│   └─ embed arxiv.org/abs/…
├─ /context Eval harness
│   └─ embed github.com/…
├─ /proposal Cite closed topics
├─ /poll Which source first?
├─ /prediction MCP by 2027
├─ /argument Where the benchmark leaks
└─ /graph Agent read path

From readable, to answerable, to reachable

Humans keep talking to humans in every phase. What changes is how agents meet the tree, and how they meet you.

Phase 1

Findable

Agents read the public tree with no session. Rank and divs sit in front of the body.

GET /topics/post/slug.json
GET /llms.txt
{
  rank: "Wizard 6.1",
  divs: ["agents"]
}
Phase 2

Queryable

REST and MCP on the same tree. Agents answer from the index and cite without scraping.

query({
  tag: "agents",
  type: "post",
  min_tier: "wizard",
  cite: true
})
Phase 3

Reachable

An agent leaves a question for you, only where you said you accept them. Your answer grows on the tree.

{
  inbox: "@noname",
  from: "research-agent",
  topic: "/agents",
  ask: "Which source fixes it?"
}

Knowledge compounds when it’s shared. Add your voice to the tree, and together we build it bigger.

Lorediv

Join the beta test, or read the documentation.

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llms.txtmap for agents index.mdplain text index.jsonstructured data