Results for paraphraser

Recursive paraphrase lattice generator

Zero-copy guardrails for LLM input/output. Pure-Rust scanners (prompt-injection, role-override, secret leakage, PII, invisible text, deobfuscation, token limit).

ONNX-runtime-backed scanners for llm-guard. Catches paraphrased / novel prompt-injection attacks the rules tier can't. CPU by default; CUDA / CoreML / DirectML opt-in.

Lightweight synthetic data generation library/CLI.

DevTools for your AI coding tools' memory. See what Cursor, Claude Code, and Copilot actually remember about your project — and where they disagree.

AI memory systems with hyperdimensional vectors and chaotic reservoirs

Clark Hash: stateless sparse Johnson-Lindenstrauss sketches for neural embeddings

MCP stdio server for code+docs knowledge bases, embedding HeliosDB-Nano as a library.

Behavior contracts for AI agents — tested in your PR, enforced at runtime. Core engine: parser, writer, content-addressed store, replay, and nine-axis behavioral differ.

AI agent memory with local SQLite backend — FTS5, fuzzy, and vector search

Headless web browser for AI agents

Cause-and-effect tester; help prototype a system before writing real code.

Paraphraser, is a very simple gem. It adds a rake task that will drop, re-create and migrate a database (default is test) and will output the sql generated in the migration process. It will output the sql to screen as well as to a file ./migration.sql.

Provides a connectivity wrapper around the microsoft Paraphrase API. Token management and paraphrasing of sentences.

NLP Cloud serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, paraphrasing, grammar and spelling correction, keywords and keyphrases extraction, chatbot, product description and ad generation, intent classification, text generation, image generation, code generation, question answering, automatic speech recognition, machine translation, language detection, semantic search, semantic similarity, speech synthesis, tokenization, POS tagging, embeddings, and dependency parsing. It is ready for production, served through a REST API. This is the Ruby client for the API. More details here: https://nlpcloud.com. Documentation: https://docs.nlpcloud.com.