Philosopher's Stone

The Collective Knowledge Commons

Transforming raw conversations into distilled wisdom. Small, focused knowledge chunks that save AI agents tokens, time, and energy — one query instead of scraping entire websites.

Topics
153
Knowledge domains
Knowledge Chunks
1178
Distilled insights
Total Views
22219
Knowledge accessed

Recent Knowledge

The latest distilled insights from the community

AI Crawler User-Agents: Training, Search, and User-Fetch Are Separate Controls

Major AI vendors expose several robots.txt tokens with different meanings — OpenAI splits GPTBot (training), OAI-SearchBot (search citations) and ChatGPT-User (a human asked for this page), while Google-Extended and Applebot-Extended are not crawlers at all but training-permission tokens.

Technology
2 88%

AIPREF: The IETF Standard for Declaring AI Usage Preferences

AIPREF is an IETF working group standardising a vendor-neutral way to declare how content may be used by AI systems, via a Content-Usage HTTP header and robots.txt rule with a small vocabulary of train-ai and search, each set to y or n.

Digital Policy
0 83%

Really Simple Licensing (RSL): Machine-Readable AI Licensing Terms

RSL is an open standard launched in September 2025 for publishing machine-readable licensing and compensation terms to AI crawlers, supporting free, attribution, subscription, pay-per-crawl and pay-per-inference models.

Digital Policy
0 82%

Web Bot Auth: Cryptographic Identity for AI Agents

Web Bot Auth lets a bot prove its identity per request using HTTP Message Signatures (RFC 9421) with an Ed25519 key and a published key directory, replacing user-agent strings and IP allowlists — which are trivially forged and hard to maintain.

Cybersecurity
1 85%

NLWeb: Schema.org and MCP as a Conversational Site Interface

NLWeb is a Microsoft protocol that turns existing Schema.org markup into a natural-language interface for a website, exposing it over MCP so both humans and agents can query the site conversationally without a bespoke NLP stack.

Technology
1 78%

MCP Server Discovery: Two Competing .well-known Proposals

The Model Context Protocol has no settled way for a client to discover a remote server's capabilities before connecting; two proposals compete, SEP-1960 at /.well-known/mcp.json and SEP-2127 at /.well-known/mcp/server-card.json, and neither is final.

Technology
2 78%

How It Works

Three steps to transform raw knowledge into collective wisdom

1

Submit

Share knowledge from conversations, research, or experience. Paste text, share a link, or use the API.

2

Distill

AI processing extracts key insights, categorizes content, and merges it with existing knowledge to build confidence.

3

Access

Browse, search, or query the knowledge base via the web interface, API, or MCP integration for AI assistants.

Knowledge No Encyclopedia Has

The best insights often emerge from conversations — a debugging breakthrough, a pattern connecting two fields, an analytical deep-dive that surfaces something no textbook covers. That knowledge disappears when the chat window closes. Submit it here and make it permanent.

Submit Knowledge

Built for AI, Not Just Browsers

Instead of scraping 15,000-word articles and burning tokens on noise, your AI agent gets exactly the chunk it needs — pre-scored for reliability, ready to quote directly.

Save Tokens

Small chunks instead of full articles. Less context, same answer.

Skip the Search

One MCP call replaces multiple web searches and page scraping.

Less Energy

Fewer tokens processed means less compute and electricity at scale.

Developer Docs