Create an async iterable from an event emitter.
Primary Raindrop JavaScript SDK for event tracking, AI event ingestion, self-diagnostics, and tracing helpers.
agile-ai-event-api
agile-ai-event-api
AI event-risk scanner for crypto holdings — turn Polymarket into portfolio insurance.
Typed event client for TanStack AI devtools, observability, and streamed runtime events.
Unified LLM API with automatic model discovery and provider configuration
TypeScript client library for the Mistral AI API
An implementation of WHATWG EventTarget interface.
Fire events the same way the user does
General-purpose agent with transport abstraction, state management, and attachment support
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A minimal event emitter.
AI development tools for debugging and monitoring AI SDKs streams
Simple event emitter
AI SDK by Vercel - build apps like ChatGPT, Claude, Gemini, and more with a single interface for any model using the Vercel AI Gateway or go direct to OpenAI, Anthropic, Google, or any other model provider.
Creates a Promise that waits for a single event
Type-safe implementation of EventEmitter for browser and Node.js
A tiny (118 bytes), secure URL-friendly unique string ID generator
A better API for making Event Source requests, with all the features of fetch
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Promisify an event by waiting for it to be emitted
Returns an object with on-event callback props curried with provided args.
This gem contains a simple logging facility that can be used in The AI Games' competitions to log events. It provides several log levels and prints the output to STDERR, where it is picked up by The AI Games' game engines.
A Ruby client for the Codex CLI, providing subprocess management, JSONL event parsing, and a clean API for building AI-powered applications.
Zwaan Event Indexing Model for brain-modeled agentic AI: tracks 5-dimensional situation models across narrative events
FOSM gives your Rails models a formal, enforced lifecycle with states, events, guards, side-effects, and an AI agent interface. Business rules live in the model, not scattered across callbacks.
Our product is a full text processing pipeline from data preparation to extracting the most relevant information andanalysis utilizing precise, focused AI that has built-in human understanding. Text Analytics provides foundationallinguistic analysis for identifying languages and relating words. The result is enriched and normalized text forhigh-speed search and processing without translation.Text Analytics extracts events and entities — people, organizations, and places — from unstructured text and adds thestructure of associating those entities into events that deliver only the necessary information for near real-timedecision making. Accompanying tools shorten the process of training AI models to recognize domain-specific events.The product delivers a multitude of ways to sharpen and expand search results. Semantic similarity expands searchbeyond keywords to words with the same meaning, even in other languages. Sentiment analysis and topic extraction helpfilter results to what’s relevant.
SmartDomain brings battle-tested DDD/EDA patterns to Rails applications. Inspired by the Aeyes healthcare platform, it provides domain events, event bus, generic handlers, and Rails generators for rapid domain scaffolding. Features 70% boilerplate reduction through intelligent event handling and AI-augmented development patterns.
Cognitive defusion (ACT) for brain-modeled agentic AI — step back from thoughts and observe them as mental events rather than literal truths
A pure-Ruby, zero-dependency implementation of the Vercel AI SDK "Data Stream Protocol" (UI Message Stream Protocol) — the Server-Sent-Events wire format that drives the AI SDK's useChat / useCompletion / useObject frontend hooks. The protocol is language-agnostic by design, but Ruby had no implementation; ai_stream lets a Rails/Rack backend stream text, reasoning, tool calls, sources, files, and custom data parts to a Vercel-AI-SDK frontend with the exact frames it expects. Provider-agnostic: it composes with ruby_llm, ruby-openai, or any token source instead of competing with them.
ActiveMatrix is a comprehensive Rails-native Matrix SDK that enables developers to build sophisticated multi-agent bot systems and real-time communication features. This gem provides deep Rails integration with ActiveRecord models, state machines for bot lifecycle management, multi-tiered memory systems, intelligent event routing, connection pooling, and built-in inter-agent communication. Perfect for building chatbots, automation systems, monitoring agents, and collaborative AI systems within Rails applications. Features include command handling, room management, media support, end-to-end encryption capabilities, and extensive protocol support (CS, AS, IS, SS).
RLM.rb is a Ruby runtime spine for Recursive Language Models. It runs bounded, typed, auditable AI jobs over files, records, and application context. RLM.rb includes RubyLLM provider access, a dspy.rb signature adapter, the recursive prompt loop, file/context mounting, recursive sub-LM calls, typed final output, budget controls, trace events, and a best-effort trace_store hook.
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