Chiron was written to demonstrate that you could embed special tokens in an infobots fact file so that recalling/matching a fact causes novel/interesting and hopefully useful behaviour. The 'tokens' gradually gained functionality, and now the factoids themselves are fully programmable. A tracing feature is used to automatically follow instructions, generate the code, and then learn it as a fact. There are many other features, including a hooking system for plugging multiple backend engines in to process what it sees, etc. The current problem with the program is the lack of documentation.
YASIS is a very detailed sysinfo script that displays individual stats or grouped info. It only requires lspci and common tools found in any distribution. Check the page for example outputs. It displays distribution/kernel, CPU count/cache/load, disk/swap/RAM used/free, network info/speed, CPU temp/fan speeds, X environment info (wm/de and display info), bandwidth speeds, and more.
grindr is a set of various utilities to enhance Web productivity. It provides tools to interact with Web sites, RSS feeds, and instant messaging. Munchr is a simple RSS parser which can collect data from restricted Web sites, and this data is routed to nbox. nbox is a small GUI display for all collected information. Posting information is done by feedr, which takes a set of parameters and values and submits it to the appropriate Web service. gaskr provides a GUI to prepare data for feedr. Initial configuration for gaskr is prepared by bildr, which can log onto sites and scrape all form data from HTML content.
FleaIM is a Web-based MSN messenger clone. It can be used to register, sign in, automatically login. You can use it to modify your profile, state, and signature. It can send and receive messages, flash, and face icons. It can search, add, block, remove, and sort contacts. You can use it to view and download chatting history. It supports sound notifications for incoming messages, contact logging, etc. It can also maintain contact groups.
pyECTOR is a chatterbot which learns from what people say. It is based on an artificial intelligence architecture that is inspired by Copycat, an AI system from Mitchell and Hofstadter. The Concept Network it uses is a mix between neural and semantic networks. It uses co-occurrences to compute the influence of one semantic node on another. The links are statistically weighted.