Reverse Dependencies of langchain-core

The following projects have a declared dependency on langchain-core:

• longtrainer — Production Ready LangChain
• lpw — Using Local Packet Whisperer (LPW, Chat with PCAP/PCAPNG files locally, privately!
• LuciAI — The First AI-Based Medical Agent Designed to Automate All Medical Processes.
• lytix-py — Official Lytix Client Packages
• m2metricforge — Library for generating validation dataset and evaluation metrics
• maeser — A package for building RAG chatbot applications for educational contexts.
• mafiagg — A Python wrapper for the MafiaGG API
• mainframe-orchestra — Mainframe-Orchestra is a lightweight, open-source agentic framework for building LLM based pipelines and self-orchestrating multi-agent teams
• mallm — Multi-Agent Large Language Models for Collaborative Task-Solving.
• marinabox — An open-source toolkit for deploying containerized desktops and browsers tailored for AI agents
• media-tagging — Performs tagging of image and videos based on various taggers
• medtools — MedTools by MedinfoX Group
• megaparse — no summary
• mem0rylol — A sophisticated AI memory layer.
• memoripy — Memoripy provides context-aware memory management with support for OpenAI and Ollama APIs, offering structured short-term and long-term memory storage for interactive applications.
• memory-bank — A simple Python library for managing chat message history in langchain
• memos-webhook — A webhook server for memos
• metadata-chatbot — Generated from aind-library-template
• metalm-tools — MetaLM工具集
• metalm-xclient — 雪浪模型推理服务的客户端
• metatool — A Python interface for metatool functionality
• miksi-ai-sdk — Miksi-AI empowers your BI
• miksiai — Miksi-AI empowers your BI
• mimir-ai — no summary
• mintii — Mintii Router: Intelligent LLM Model Selection and Optimization Library. Automatically selects the best Large Language Model for each prompt, optimizing for cost, quality, and performance.
• mktdata — no summary
• moral-keeper-ai — no summary
• mtmai — no summary
• mtmlib — no summary
• murnitur — Murnitur empowers AI teams to seamlessly test, evaluate, deploy, monitor, and safeguard GenAI applications continuously.
• my_agent — Example LangGraph project for deployment to LangGraph Cloud
• nael-utils — Commonly useful utilities
• needlehaystack — Doing simple retrieval from LLM models at various context lengths to measure accuracy.
• nemoguardrails — NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
• neurapolis-retriever — no summary
• nonebot-plugin-nonechat — Add your description here
• obsidian-brain — Give claude access to your obsidian brain
• officelyTest — A brief description of your package
• openagi — no summary
• openai-simple-embeddings — 基于OPENAI兼容API接口的embeddings服务封装，以解决langchain_community.vectorstores在使用bge-m3/bge-reranker-v2-m3等模型提供的OPENAI兼容API接口服务时遇到的兼容性问题。
• openinference-instrumentation-langchain — OpenInference LangChain Instrumentation
• os-copilot — An self-improving embodied conversational agents seamlessly integrated into the operating system to automate our daily tasks.
• os-llm-agents — Python package that helps to build LLM agents based on open-source models from Huggingface Hub.
• Painy — no summary
• paita — paita - Python AI Textual Assistant
• par_scrape — A versatile web scraping tool with options for Selenium or Playwright, featuring OpenAI-powered data extraction and formatting.
• parllama — Terminal UI for Ollama
• parsehub — 支持AI总结的社交媒体聚合解析器
• pascalnobereit-langchain-google-vertexai — An integration package connecting Google VertexAI and LangChain
• patched-prompt-security-fuzzer — LLM and System Prompt vulnerability scanner tool
• PathwayOracle — An LLM-empowered, KG-Driven, Gene Pathway Analysis Tool
• petercat-utils — no summary
• pineconeutils — PineconeUtils is a Python module designed to handle and process data for embedding and indexing using Pinecone, Cohere, and OpenAI services. This utility module makes it easy to load, chunk, prepare, and upsert data into a Pinecone index, making it ideal for applications involving text embedding and retrieval augmented systems(RAG)
• planning-library — LangChain-based library with planning algorithms for AI Agents.
• platform-gen-ai — This is pipeline code for accelerating solution accelerators
• portainerlang — no summary
• portia-sdk-python — Portia Labs Python SDK for building agentic workflows.
• portkey-ai — Python client library for the Portkey API
• prodpadlm-client — Production LaunchPad for Language Models [Client] - ⚡ Ship Open Source LLMs to production faster and efficiently ⚡
• prompt-llm — A CLI tool to prompt LLMs by reego.software
• prompt-security-fuzzer — LLM and System Prompt vulnerability scanner tool
• prompt-templates — A library for working with prompt templates locally or on the Hugging Face Hub.
• promptgit — Managing prompts for LLM in Git repository
• promptolution — no summary
• puppygraph — The project contains the PuppyGraph client and PuppyGraph's Agentic Graph RAG libraries for Python. PuppyGraph client enables dynamic graph querying across multiple data sources with zero ETL, flexible schema management, and support for Cypher and Gremlin queries. PuppyGraph agentic graph RAG library makes graph-aware AI Agents.
• py_code_improver — utility to suggest code refactoring
• pydocify — pydocify: An LLM-based library that effortlessly auto-generates docstrings for your Python scripts and modules, enhancing code readability with ease.
• qa-data — Add your description here
• quackling — Quackling enables document-native generative AI applications
• quark-engine — An Obfuscation-Neglect Android Malware Scoring System
• quivr-core — Quivr core RAG package
• quke — Compare the answering capabilities of different LLMs - for example LlaMa, GPT4o, Mistral, Claude, Cohere, others - against user provided document(s) and questions.
• ra-aid — RA.Aid - ReAct Aid
• racp — A tool for building academic paper retriever.
• raft-llm — A brief description of your package
• ragaai-catalyst — RAGA AI CATALYST
• ragas — no summary
• ragasas — A package that can be used to create RAGs with a single line of code.
• RAGatouille — Library to facilitate the use of state-of-the-art retrieval models in common RAG contexts.
• ragbuilder — RagBuilder SDK - Create optimal Production-ready RAG pipelines
• ragstack-ai-langchain — DataStax RAGStack Langchain
• readet — LLM based tools and agents to fascilitate scientific research
• redcoast-orator — no summary
• replay-cache — Replaying cache for LangChain
• res-sum — A Python package Leveraging LLMs for Research Synthesis
• ResumeGPT — Tailor your resume to match any job posting effortlessly
• reverse-engineering-assistant — An AI assistant for reverse engineering tasks
• rezolve-ai-ingestion — A private package for ingesting and processing SharePoint data with AI capabilities
• rqle-ai-langchain-util — Library facilitating the integration of different LLM providers in LangChain (e.g. `ollama`, `Google Gemini`, etc).
• rs-docs-loader — RS Docs Loader will help you to integrate different data sources
• rule-based-retrieval — Python package for Rule-based Retrieval using RAG
• safa — A command line tool for running SAFA in the command line.
• sax4bpm — Open source Python library for deriving explanations about business processes based on process,causal and XAI perspectives
• scalexi — The scalexi package is a versatile open-source Python library that focuses on facilitating low-code development and fine-tuning of diverse Large Language Models (LLMs). It extends beyond its initial OpenAI models integration, offering a scalable framework for various LLMs.
• scipe — Systematic Chain Improvement and Problem Evaluation
• scrapegraphaisub — A first semantic versioned Scrapegraph fork by subzero team
• scrapontologies — Library for extracting schemas and building ontologies from documents using LLM
• ScrapySub — ScrapySub is a Python library designed to recursively scrape website content, including subpages. It fetches the visible text from web pages and stores it in a structured format for easy access and analysis. This library is particularly useful for NLP and AI developers who need to gather large amounts of web content for their projects.
• sentrev — SenTrEv - Simple customizable evaluation for RAG performance of Sentence Transformers models on PDFs
• sf-hamilton-sdk — Hamilton SDK for reading and writing to the Hamilton backend APIs that support the UI.