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Transform basic prompts into expert-level AI instructions. Enhance, benchmark & optimize prompts for ChatGPT, Claude, Gemini & more. | WFGY is a verification first reasoning engine for LLMs. It ships reproducible entry points and audit friendly specifications, designed to make failures visible and fixable. WFGY 1.0 to 3.0 are one set. Each version is a different depth level, not a different product line. MIT licensed. Public demos and docs live in the repo. Start here: Event Horizon (WFGY 3.0 public entry): https://github.com/onestardao/WFGY/blob/main/TensionUniverse/EventHorizon/README.md Starter Village (fast onboarding): https://github.com/onestardao/WFGY/blob/main/StarterVillage/README.md |
Prompt Enhancement, Real-Time Scoring, A/B Testing, Prompt Compare, Image-to-Prompt, Presentation Builder, Smart Templates, Analytics Dashboard, Version Control, Collections & Folders, Chrome Extension, Expert Prompt Library | Verification, Reproducibility, Auditability, Failure analysis, RAG debugging, Open source |
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It is a cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, it empowers agents to work together seamlessly, tackling complex tasks.

The most advanced, consistent, and effective AI humanizer on the market. Instantly transform AI-generated text into undetectable, human-like writing in one click.

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

Waxell is the AI governance plane for agentic systems in production. It sits above agents, models, and integrations, enforcing constraints and defining what's allowed. Auto-instrumentation for 200+ libraries without code changes. Real-time tracing, token and cost tracking, and 11 categories of agentic governance policy enforcement.

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

It allows you to run open-source large language models, such as Llama 2, locally.

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It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.

It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.

Discover and install agent skills for Claude Code, Cursor, Windsurf and more. Browse 10000+ curated skills by category or author. Start building smarter today.