LLM context window compactor — summarizes old conversation history to free up context space
Compact version of Jimp
The best of both `JSON.stringify(obj)` and `JSON.stringify(obj, null, indent)`.
A convertor between XML text and Javascript object / JSON text.
mdast utility to make a tree compact
A shaclc rdf-parse actor
A lightweight registry of LLM model information, like name and context sizes, for building AI-powered apps.
JSON-LD serializer that implements the RDF/JS Sink interface and supports different output styles
A shaclc rdf-serialize actor
ESLint’s official `compact` formatter, unofficially published as a standalone module
Crazy fast http radix based router
Crazy fast http radix based router
View docs [here](https://radix-ui.com/primitives/docs/components/context-menu).
OpenTelemetry AsyncLocalStorage-based Context Manager
Shared debug workspace pipeline for investigating Meticulous diffs and replays
This is an internal utility, not intended for public usage.
Compact isomorphic clone of ccg security-context.
YAML 1.2 parser and serializer
An ACP-compatible coding agent powered by Codex
Ultra-fast MessagePack implementation with extensions for records and structured cloning
better fetch for Node.js. Works on any JavaScript runtime!
The lodash method `_.compact` exported as a module.
A series of compact encoding schemes for building small and fast parsers and serializers
Provide context info for eslint-plugin-import-x, so no extra arguments need to be added.
Compact serialization format optimized for LLM contexts with 30-60% token reduction compared to JSON
Production-grade coding agent with tool execution, middleware pipeline, context compaction, session persistence, and multi-provider LLM support.
ace-compressor provides exact, compact, and agent context compression with benchmark comparison, producing structured ContextPack/3 output for efficient LLM context loading.
RSpec formatter optimized for AI agents and CI systems. Outputs compact NDJSON with file references instead of verbose text. Supports log splitting, error deduplication, and context-efficient reporting.
Pocketrb is a Ruby AI agent framework featuring async message bus architecture, multi-LLM support (Claude, OpenRouter, RubyLLM), multi-channel messaging (CLI, Telegram, WhatsApp), planning system, context compaction, and simple JSON-based memory with keyword matching.
RubyPi is a minimal, composable AI agent harness for Ruby. Build production-ready LLM agents and AI agents with a unified provider interface across OpenAI, Anthropic Claude, and Google Gemini, plus first-class support for tool calling (function calling), streaming responses, automatic retries, provider fallback, context compaction, and a think-act-observe agent loop. Anti-framework design — small, idiomatic, and explicit. Ideal for building autonomous AI agents, ReAct agents, tool-using LLM agents, and chatbots in Ruby.
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