Context Intelligence Engine with CCP. 34 MCP tools, 8 read modes, 90+ compression patterns, cross-session memory (CCP), persistent AI knowledge with temporal facts + contradiction detection, multi-agent context sharing + diaries, LITM-aware positioning, AAAK compact format, adaptive compression with Thompson Sampling bandits. Supports 24 AI tools. Reduces LLM token consumption by up to 99%.
Context Runtime for AI Agents with CCP. 68 MCP tools, 10 read modes, 60+ compression patterns, cross-session memory (CCP), persistent AI knowledge with temporal facts + contradiction detection, multi-agent context sharing, LITM-aware positioning, AAAK compact format, adaptive compression with Thompson Sampling bandits. Supports 24+ AI tools. Reduces LLM token consumption by up to 99%.
A CLI tool to bootstrap project configuration files
Integrate search data into your rust application. This library is the official wrapper for SerpApi. SerpApi supports Google, Google Maps, Google Shopping, Baidu, Yandex, Yahoo, eBay, App Stores, and more.
One command. Any language. Beautiful tests.
A curated list of awesome Rust frameworks, libraries and software.
Experimental RuboCop rewrite in Rust — 900+ cops, drop-in compatible
CADI Scraper/Chunker utility for converting source code repos and file data into reusable CADI chunks
Custom test output formatter for spectacular — rainbow dots and more
An RSpec-inspired test framework for Rust with stackable before/after hooks
Proc macros for the spectacular test framework
All-in-one Rust toolkit for Claude Code & MCP agents: auto-rewrite hooks, MCP server, repo maps with BM25+PageRank, call graphs in 7 languages, local RAG search. Single binary, 100% local.
A ruby gem that runs RSpec N times.
Enable nested transactions for suites, contexts and examples. Useful to rollback DB changes in before(:all) blocks.
An rspec formatter that shows elapsed time, example count, example description, and example location, with no scrolling except for errors.
Rspec formatter which prefixes the documentation formatter with line numbers indicating the order of test execution. Useful when reading large log files and debugging flaky tests!
Specification of Normalized Hash data structure main goal is to make data produced by parsers easy to use by software that does not know about internal data structure, i.e. data driven and schema-less. Data structures should be built in such a way as to make data self-documenting, easy adaptable and 'software-friendly'. Gem contains RSpec tests for testing Hash data structure for compliance with the requirements. See README.md and NormalizedHash.md files in gem's root directory.
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