With the context api some familiar patterns began popping up. Create a Context, Provider, a reducer and state objects. This is fine, but say you have multiple pages and want each to have their own context, you can easily find yourself in boilerplate
OpenTelemetry Tracing
ESLint rules and configuration of LWC modules used in Salesforce
Provide context info for eslint-plugin-import-x, so no extra arguments need to be added.
React context for MDX
OAuth 2.0 Authorization Server implementation for Node.js with OpenID Connect
[](https://github.com/pulumi/pulumi-command/actions) [](https://slack.pulumi.com) [ expressions
[](https://www.npmjs.com/package/react-shepherd)
Core types and registry utilities for TokenLens (model metadata).
AI-powered chat and tool execution for Open Mercato, using MCP (Model Context Protocol) for tool discovery and execution.
The JavaScript configuration provider for Azure App Configuration
Allow parsing of import()
MCP plugin that saves 98% of your context window. Works with Claude Code, Gemini CLI, VS Code Copilot, OpenCode, and Codex CLI. Sandboxed code execution, FTS5 knowledge base, and intent-driven search.
[Flipt](https://www.flipt.io/) is an open source developer friendly feature flagging solution, that allows for easy management and fast feature evaluation.
Context identifier plugin for @atlaskit/editor-core
Core Storybook UI
unist utility to check if a node passes a test
A React SDK for implementing wallet web3 authentication and authorization to your website.
AWS credential provider that sources credentials from known environment variables
OAuth 2.0 Authorization Server implementation for Node.js with OpenID Connect
AWS credential provider for containers and HTTP sources
Ugh provides infrastructure for attributed error messages and for (re)attributing these in accordance with dynamically scoped nestable context domains.
== E9Tags An extension to ActsAsTaggableOn[http://github.com/mbleigh/acts-as-taggable-on] which "improves" on custom tagging, or at least makes it more dynamic. Additionally it provides some autocomplete rack apps and the corresponding javascript. == Installation 1. E9Tags requires jquery and jquery-ui for the autocompletion and tag-adding form, be sure they're loaded in your pages where the tags form will be rendered. 2. E9Tags extends ActsAsTaggableOn and requires it. Run it's generator if you have not. 3. Run the E9Tags install script to copy over the required JS rails g e9_tags:install 4. Then make sure it is loaded, how you do that doesn't matter, e.g. <%= javascript_include_tag 'e9_tags' %> 5. Create an initializer for that sets up the taggable models and their controllers. This gives the models the tag associations and methods and prepares their controller to handle the otherwise unexpected tag params. require 'e9_tags' require 'contacts_controller' require 'contact' E9Tags.controllers << ContactsController E9Tags.models << Contact OR You can just include the modules in your classes yourself. The first way really exists for the case where the classes you wish to extend are part of another plugin/gem. # in contact.rb include E9Tags:Model # in contacts_controller.rb include E9Tags::Controller 6. Render the tags form partial in whatever model forms require it. = render 'e9_tags/form', :f => f If you pass a context, it will be locked and no longer possible to change/add the contexts on the form (and as a side effect, the tags autocompletion will be restricted to that context). = render 'e9_tags/form', :f => f, :context => :users Finally if you pass a 2nd arg to :context you can set a tag context to be "private" (default is false). In this case the tag context will be locked as private (typically suffixed with *), meaning that the tags will not be publicly searchable/visible. This is useful for organizational tags tags, say if you wanted to arbitrarily group records, or create a custom search based on a tag context. = render 'e9_tags/form', :f => f, :context => [:users, true] NOTE: The form and javascript are intended to work out of the box, but the certainly aren't going to look pretty. If you do intend to use the forms, you'll no doubt need to style them.
Kernai is an AI agent kernel based on a universal XML block protocol, enabling simple, dynamic, observable and fully controlled orchestration without external runtime dependencies. Ships with reference provider adapters for Anthropic, OpenAI and Ollama, native multimodal support, a workflow DAG scheduler, pluggable recorder sinks and an optional MCP (Model Context Protocol) bridge.
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