Radiusd
Distributed Radius-server to do authentication+accounting.
Install / Use
/learn @mpdroog/RadiusdREADME
Radius Server.
Distributed Radius-server to do authentication+accounting.
Some of the motivations for writing this server:
- Wanted 5min interval graphs of traffic usage
- FreeRADIUS felt overly complex/forced me into a SQL structure I didn't like
- Loved a good challenge
Use of this source code is governed by a BSD-style license that can be found in the LICENSE file.
Implemented RFCs:
- auth https://tools.ietf.org/html/rfc2865
- acct https://tools.ietf.org/html/rfc2866
- CHAP https://tools.ietf.org/html/rfc1994
- MSCHAP1+2 http://freeradius.org/rfc/rfc2548.html
- MSCHAP1 https://tools.ietf.org/html/rfc2433
- MSCHAP2 https://tools.ietf.org/html/rfc2759
- MPPE (RC4 encryption) https://www.ietf.org/rfc/rfc3079.txt
This daemon uses MariaDB/MySQL to store it's data and the SQL-file can
be found in the /db dir.

Why is it distributed?
Because if MySQL is replicated this daemon shares it state with other radiusd-instances (as everything is administrated in MySQL)
To protect yourself against racing conditions between nodes it's adviced to use a replication method like Galera Cluster.
Run test/test.sh
radclient is part of the freeradius project
brew install freeradius-server
Production?
No, still testing.
RadiusD is only being tested against Mikrotik their RouterOS.
Used resources
- https://github.com/FreeRADIUS/freeradius-server
- http://lost-and-found-narihiro.blogspot.nl/2014/04/freeradius-2112-configure-accounting.html
- https://github.com/bronze1man/radius
- https://github.com/hoffoo/go-radius
- https://github.com/alouca/goradius
Related Skills
feishu-drive
352.5k|
things-mac
352.5kManage Things 3 via the `things` CLI on macOS (add/update projects+todos via URL scheme; read/search/list from the local Things database)
clawhub
352.5kUse the ClawHub CLI to search, install, update, and publish agent skills from clawhub.com
codebase-memory-mcp
1.3kHigh-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 66 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
