Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.
It is a low code platform to rapidly annotate data, train and then deploy custom Natural Language Processing (NLP) models. It takes care of model training, data selection and deployment for you. You upload your data and we provide an annotation interface for you to teach a classifier. As you label we train a model, work out what data is most valuable and then deploy the model for you. | Open-source Chrome extension that uses a local LLM to automatically summarize, tag, and store AI conversation context. EXAONE 3.5 7.8B summarizes every 20 turns locally, auto-tagging project names, tech stack, and key decisions. Semantic vector search powered by Cloudflare Vectorize + bge-m3 (1024 dimensions, 100+ languages). Zero cloud API cost — your data never leaves your machine. 로컬 LLM이 AI 대화를 자동으로 요약·태깅·저장하는 오픈소스 크롬 확장 프로그램. EXAONE 3.5로 프라이버시를 지키면서 대화 맥락을 영구 보존합니다. |
10x fewer labels needed;
Add your own heuristics and rules to speed up labelling;
Powerful search to focus your labelling efforts;
Powerful pretrained models from the forefront of NLP research | AI, Local LLM, Chrome Extension, Conversation Memory, Semantic Search, Vector Database, Cloudflare, EXAONE, Ollama, Developer Tools, Open Source, Privacy |
Statistics | |
Stacks 2 | Stacks 0 |
Followers 4 | Followers 1 |
Votes 0 | Votes 1 |

Milvus is an open source vector database. Built with heterogeneous computing architecture for the best cost efficiency. Searches over billion-scale vectors take only milliseconds with minimum computing resources.

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

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.

It is a generative user interface system by Vercel powered by AI. It generates copy-and-paste friendly React code based on shadcn/ui and Tailwind CSS that people can use in their projects.

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.

Transform basic prompts into expert-level AI instructions. Enhance, benchmark & optimize prompts for ChatGPT, Claude, Gemini & more.

It is an AI-enabled editor that helps developers write technical design docs faster. It’s like an IDE with Copilot, but instead of directly editing your code, it helps you come up with a solid plan before implementing a change.