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It is a full-stack application and tool suite that enables you to turn any document, resource, or piece of content into a piece of data that any LLM can use as reference during chatting. This application runs with very minimal overhead as by default the LLM and vectorDB are hosted remotely, but can be swapped for local instances. | Transform basic prompts into expert-level AI instructions. Enhance, benchmark & optimize prompts for ChatGPT, Claude, Gemini & more. |
Atomically manage documents to be used in long-term-memory from a simple UI;
Each chat response contains a citation that is linked to the original content;
Simple technology stack for fast iteration;
Fully capable of being hosted remotely | 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 |
Statistics | |
GitHub Stars 50.7K | GitHub Stars - |
GitHub Forks 5.3K | GitHub Forks - |
Stacks 11 | Stacks 10 |
Followers 14 | Followers 2 |
Votes 0 | Votes 1 |
Integrations | |
| No integrations available | |

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.

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.

Find what caused your AI bill. Opsmeter gives endpoint, user, model, and prompt-level AI cost attribution in one view.

It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.

A high-performance AI detection infrastructure designed to identify synthetic media. AI Detect Lab leverages advanced neural network analysis to distinguish between human-generated content and AI outputs (Midjourney v7, Stable Diffusion 3.5, DALL-E 3,Flux2.0) with 99%+ accuracy. Supports multi-language text analysis and high-resolution image processing via a streamlined web interface.