Semantic Git history index for Claude Code — Node.js port of claude-memory
This is part of the [ES-Git](https://github.com/es-git/es-git) project.
Labs SDK - Clean tool functions for file, exec, search, git, memory operations
This is lightweight memory stream module for node.js.
A lean and fast 'fs' for the browser
Memory adapter for Better Auth
Git Implemented in JavaScript
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.
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.
Memory adapter for catbox
Experimental sandboxed JS execution and filesystem runtime for Cloudflare Workers agents
Provides metadata and conversions from repository urls for GitHub, Bitbucket and GitLab
Access memory using small fixed sized buffers
High Performance In-Memory Cache for Node.js
Apache Arrow columnar in-memory format
A set of efficient utilities that extend the use of JSON (streaming, estimate size, NDJSON/JSONL, etc.)
A WebGL memory tracker
Memory management for Mastra agents. Visit [the docs](https://mastra.ai/docs/memory/overview) for more information.
Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
In-memory abstract-level database for Node.js and browsers
A simple in-memory filesystem. Holds data in a javascript object.
Simple implmentation of Stream.Readable and Stream.Writable holding the data in memory.
Asynchronous, non-blocking SQLite3 bindings
MCP Server for Git repository management with memory and AI capabilities
GitStore implements a versioned data store based on the revision management system Git. You can store object hierarchies as nested hashes, which will be mapped on the directory structure of a git repository. GitStore checks out the repository into a in-memory representation, which can be modified and finally committed.
# CheckTCPMemory This is a simple Nagios/Sensu check that checks that the current TCP memory usage is below the maximum allowed in the Linux kernel. This will find leaking TCP sockets. ## Installation Add this line to your application's Gemfile: ```ruby gem 'check_tcp_memory' ``` And then execute: $ bundle Or install it yourself as: $ gem install check_tcp_memory ## Usage ``` $ check_tcp_memory -h Usage: check_tcp_memory -w <warn percent> -c <critical percent> -w, --warn-percent PERCENT Warning when percentage of total TCP memory is over this threashold. Default: 50% -c, --crit-percent PERCENT Critical when percentage of total TCP memory is over this threashold. Default: 60% -h, --help Show this message --version Show version ``` ## Development After checking out the repo, run `bin/setup` to install dependencies. Then, run `rake spec` to run the tests. You can also run `bin/console` for an interactive prompt that will allow you to experiment. To install this gem onto your local machine, run `bundle exec rake install`. To release a new version, update the version number in `version.rb`, and then run `bundle exec rake release`, which will create a git tag for the version, push git commits and tags, and push the `.gem` file to [rubygems.org](https://rubygems.org). ## Contributing Bug reports and pull requests are welcome on GitHub at https://github.com/Altiscale/check_tcp_memory. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the [Contributor Covenant](contributor-covenant.org) code of conduct.
# DECC 2050 CALCULATOR TOOL A C version and ruby wrapper for the www.decc.gov.uk 2050 energy and climate change excel calculator Further detail on the project: http://www.decc.gov.uk/2050 Canonical source: http://github.com/decc/decc_2050_model ## DEPENDENCIES 1. ruby 1.9.2 (including development headers) 2. basic c development headers This has ONLY been tested on OSX and on Ubuntu 64 bit EC2 ami. Grateful for reports from other platforms. In the util folder are two example scripts than can be helpful: 1. start-high-memory-instance.sh - is the script we use to setup an aws server to compile the model. You can't use it directly, because you won't have the right keys and certificates, but it can give clues. 2. setup-2050-model-builder-script.sh - is the script we use to get all the dependencies on that aws server correct, download this code, and then compile the model. Again, it may not be quite right for you but can server as inspiration ## INSTALLATION Note that this compiles the underlying c code, which might take 10-20 minutes or so gem install decc_2050_model ## UPDATING TO NEWER VERSIONS OF EXCEL MODEL First of all, you need to be working on the github version of the code, not the rubygem: git clone http://github.com/decc/decc_2050_model Then put the new spreadsheet in spreadsheet/2050Model.xlsx Then, from the top directory of the gem: bundle bundle exec rake The next step is to check whether lib/decc_2050_model/decc_2050_model_result.rb and lib/decc_2050_model/model_structure.rb need to be altered so that they pick up the correct places in the underlying excel. The final stage is to build and install the new gem: gem build decc_2050_model.gemspec gem install decc_2050_model-<version>.gem ... where <version> is the version number of the gem file that was created in the folder. Now follow the instructions in the twenty-fifty server directory in order to ensure that it is using this new version of the gem.
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