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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. | 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. |
Collaborate with teammates to get app behavior just right;
A unified DevOps platform for your LLM applications;
The platform for your LLM development lifecycle;
Develop with greater visibility | AI, Local LLM, Chrome Extension, Conversation Memory, Semantic Search, Vector Database, Cloudflare, EXAONE, Ollama, Developer Tools, Open Source, Privacy |
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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.

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.

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

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