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Cgr alternatives & similar sites

Your open source foundation for the agentic coding era — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
owasp.org ↗	72 match 1 shared topics	OWASP Foundation, the Open Source Foundation for Application Security \| OWASP Foundation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
algorithimdistribution.com ↗	70 match 1 shared topics	The trusted source for open source \| Chainguard	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1passbolt.com ↗	69 match 1 shared topics	Passbolt \| Open source password manager for teams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
pollojoininitaly.com ↗	69 match 1 shared topics	Passbolt \| Open source password manager for teams	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vouch-agent.com ↗	68 match 1 shared topics	TARS — The trust layer for the agentic web	en	information-and-network-security	robotsllmsaihumans	emailphone	none
etemasintelligentsystems.com ↗	67 match 1 shared topics	ETEMAS Intelligent Systems \| Compliance Foundations	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptologicfoundation.org ↗	67 match 1 shared topics	National Cryptologic Foundation	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
mcpfw.dev ↗	67 match 1 shared topics	mcpfw — The open-source firewall for MCP	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
vpncentral.com ↗	67 match 1 shared topics	VPNCentral - Your #1 Resource for VPN Information	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	partial · 1
mediaguard.ong ↗	66 match 1 shared topics	Programs \| P Foundation	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
2associes.com ↗	66 match 1 shared topics	Electronic Frontier Foundation \| Defending your rights in the digital world	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
digitalyodhafoundation.org ↗	66 match 1 shared topics	Digital Yodha Foundation \| Building a Cyber Safe India	en	information-and-network-security	robotsllmsaihumans	emailphone	none
gluu.co ↗	66 match 1 shared topics	Open Source Identity and Access Management	Colombia en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dflb.org ↗	66 match 1 shared topics	Data Foundation Lab (DFLab)	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ownyourdata.foundation ↗	66 match 1 shared topics	Own Your Data Foundation – Democratizing Digital Intelligence	en	information-and-network-security WordPress Shopify	robotsllmsaihumans	emailphone	none
1sourcedigital.com ↗	66 match 1 shared topics	Home - One Source Digital Technologies	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
digitalaccess.foundation ↗	66 match 1 shared topics	Digital Access Foundation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
police.dev ↗	65 match 1 shared topics	Computer Police — Stop agents from installing malware	en	information-and-network-security	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.