Per-project memory wiki for Claude Code, driven by hooks and a nightly compiler.
ThalesFSP persistent fork of Honcho OpenClaw memory plugin with Memory Wiki public-artifact export seam
A micro-library of stream components for building custom JSON and JSONC processing pipelines with a minimal memory footprint — parse, filter, and transform JSON far larger than available memory with a SAX-inspired token API, on Node.js or Web Streams.
MCP server for memory.wiki: tools for AI agents to create, edit, organize, search, share, version, and paste-anywhere Markdown documents.
Memory.Wiki CLI (mw). Publish Markdown from anywhere.
Agent-memory extension for org-cli: persists agent knowledge and daily notes to an org workspace, overriding memory-wiki.
Node.js atomic and non-atomic counters, rate limiting tools, protection from DoS and brute-force attacks at scale
Fast document oriented javascript in-memory database
A fully persistent balanced binary search tree
CLI for compressing files.
Nozbe's fork of LokiJS, optimized for WatermelonDB
Configuration control for production node deployments
RustCrypto: Argon2 binding for Node.js
Asynchronous, non-blocking SQLite3 bindings
An Argon2 library for Node
MongoDB Server for testing (auto-download latest version). The server will allow you to connect your favourite ODM or client library to the MongoDB Server and run parallel integration tests isolated from each other.
English | [简体中文](./README-zh_CN.md) # 🔬speedscope A fast, interactive web-based viewer for performance profiles. Supports import from a variety of profiles in a variety of languages (JS, Ruby, Python, Go & more). Try it here: https://www.speedscope.app
MongoDB Server for testing (core package, without autodownload). The server will allow you to connect your favourite ODM or client library to the MongoDB Server and run parallel integration tests isolated from each other.
Memoize/cache function results
Strip the final newline character from a string or Uint8Array
Scrypt Key Derivation Function
Check if the character represented by a given Unicode code point is fullwidth
Memory adapter for Better Auth
Memory adapter for catbox
ontoMDE-core is basically a library for loading a RDFS model in ruby memory and process it to do something usefull such as generating Java or C++ code. ontoMDE-core is used by ontoMDE-uml2 which adds UML2 meta-model definitions and some helper methods. ontoMDE-uml2 is in turn used by ontoMDE-uml2-java which adds methods and rules to generate java5 code. But ontoMDE-core is *not* *UML* *specific* and can be used with *any* RDF[http://en.wikipedia.org/wiki/Resource_Description_Framework] / RDFS[http://en.wikipedia.org/wiki/RDF_Schema] model such as those created with Protege_2000[http://protege.stanford.edu]. This opens to ontoMDE-core users the ability to generate code from custom DSL[http://en.wikipedia.org/wiki/Domain_Specific_Language] models, or join different models. This gem bundles, ontomde-inspector which is a web server for browsing a model and a meta-model inside a running ontomde generator. Inspector is available as an independant script but may also be run from generator (such as ontomde-java with option --inspector or --inspectorAfterLoad ) to provide a view of model before or after generation.
Native implementation of Dijkstra algorithm for finding the shortest path between two vertices in a large, sparse graphs. Underlying algorithm is implemented in C using a priority queue. Edges are represented using linked lists rather than an adjacency matrix to reduce memory footprint when operating on very large graphs where the average number of edges between nodes is relatively small (e.g. < 1/10 the number of nodes). See https://en.wikipedia.org/wiki/Dijkstra's_algorithm for additional information.
Use Mysql AUTO_INCREMENT to support key value cache, which should be combined by an integer and string. It means to reduce the database storage size, and improve query performance. All cache will store in process memory, and will never be expired, until the process dies, so the less kvs you use, the better performance you will get. BTW, 100,000 general strings use 10MB memory. Some relatived articles: http://en.wikipedia.org/wiki/Correlation_database Usage ------------------------------------------ ## setup ```ruby create_table :kv_browser_names, :options => 'ENGINE=MyISAM DEFAULT CHARSET=utf8' do |t| t.string :name t.timestamps end class KvBrowserName < ActiveRecord::Base include IdNameCache end ``` or ```ruby create_table :common_tag, :options => 'ENGINE=MyISAM DEFAULT CHARSET=utf8' do |t| t.integer :tagid t.string :tagname end class CommonTag < ActiveRecord::Base self.table_name = :common_tag self.primary_key = :tagid include IdNameCache; set_key_value :tagid, :tagname # include IdNameCache; set_key_value_without_create :tagid, :tagname # if you dont want create it automately end ``` ### use cases ```text ruby-1.9.3-rc1 :001 > QuizTag[1] QuizTag Load (0.3ms) SELECT `common_tag`.* FROM `common_tag` WHERE `common_tag`.`tagid` = 1 LIMIT 1 => "Android" ruby-1.9.3-rc1 :002 > QuizTag[1] => "Android" ruby-1.9.3-rc1 :003 > QuizTag['Android'] QuizTag Load (0.5ms) SELECT `common_tag`.* FROM `common_tag` WHERE `common_tag`.`tagname` = 'Android' LIMIT 1 => 1 ruby-1.9.3-rc1 :004 > QuizTag['Android'] => 1 ``` == Copyright MIT, David Chen at eoe.cn
Ply is a ruby gem for reading Stanford PLY-format 3D model files. The PLY file format is a flexible format for storing semi-structured binary data, and is often used to stored polygonalized 3D models generated with range scanning hardware. You can find some examples of the format at the {Stanford 3D Scanning Repository}[http://graphics.stanford.edu/data/3Dscanrep/]. Ply provides a simple API for quick access to the data in a PLY file (including examining the structure of a particular file's content), and an almost-as-simple event-driven API which can be used to process extremely large ply files in a streaming fashion, without needing to keep the full dataset represented in the file in memory. Ply handles all three types of PLY files (ascii, binary-big-endian and binary-little-endian). If you don't have any Stanford PLY files on hand, you probably don't need this gem, but if you're curious, the PLY file format is described at Wikipedia[http://en.wikipedia.org/wiki/PLY_(file_format)].
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