Reverse Dependencies of cohere

The following projects have a declared dependency on cohere:

• ada-python — Ada, making LLMs easier to work with.
• AdalFlow — The Library to Build and Auto-optimize LLM Applications
• aerospace-chatbot — Aerospace engineering chatbot and AI tools.
• agent-reader — Intelligent Reader of various types of media
• agent-summarizer — Intelligent Summarizer of various types of media
• agentdojo — A Dynamic Environment to Evaluate Attacks and Defenses for LLM Agents
• agentforce — no summary
• agentmake — AgentMake AI: a software developement kit for developing agentic AI applications that support 16 AI backends and work with 7 agentic components, such as tools and agents. (Developer: Eliran Wong)
• agno — Agno: a lightweight framework for building multi-modal Agents
• ai-chunking — A powerful Python library for semantic document chunking and enrichment using AI
• ai-gradio — A Python package for creating Gradio applications with AI models
• ai-mock — Mock clients for your favorite LLM APIs
• aibridge-test — Bridge for LLM"s
• aibridgecore — Bridge for LLM"s
• aidoot — no summary
• airbyte-cdk — A framework for writing Airbyte Connectors.
• aisuite — Uniform access layer for LLMs
• aisuite-async — Uniform access layer for LLMs with async support
• aisuiteplus — Uniform access layer for LLMs
• aladindb — 🔮 Super-power your database with AI 🔮
• alpaca-eval — AlpacaEval : An Automatic Evaluator of Instruction-following Models
• andrew-test-weave — A toolkit for building composable interactive data driven applications.
• apache-airflow-providers-cohere — Provider package apache-airflow-providers-cohere for Apache Airflow
• archeai — ArcheAI is a lightweight and scalable Python agent framework that simplifies AI agent development. Build smarter, more capable agents with ease using ArcheAI's easy tool integration, LLM interaction, and agent orchestration.
• autogen-agentchat-um — Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
• AutoRAG — Automatically Evaluate RAG pipelines with your own data. Find optimal structure for new RAG product.
• aws-rag-bot — no summary
• baish — A security-focused tool that uses LLMs to analyze shell scripts
• bflower — A Python package with a built-in web application
• bodhiext.cohere — Bohilib plugin for Cohere by bodhiext
• BRAD-Chat — This package connects large language models with bioinformatics workflows.
• bsrag-langchain — no summary
• camel-ai — Communicative Agents for AI Society Study
• canopy-sdk — Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone
• cbrkit — Customizable Case-Based Reasoning (CBR) toolkit for Python with a built-in API and CLI
• chalkpy — Python SDK for Chalk
• chatarena — Multi-Agent Language Game Environments for Large Language Models
• chembench — Benchmark chemistry performance of LLMs
• chonkie — 🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library
• clemcore — The cLLM (chat-optimized Large Language Model, 'clem') framework tests such models' ability to engage in games, that is, rule-constituted activities played using language.
• clippy-mcp — Build effective agents with Model Context Protocol (MCP) using simple, composable patterns.
• cmbagent-autogen — A programming framework for agentic AI
• co-bash — no summary
• cognitrix — Package for creating AI Agents using llms
• cohere-haystack — no summary
• continuous-eval — Open-Source Evaluation for GenAI Applications.
• conversant — Conversational AI tooling
• cronos-ai-agent-dev — Cronos AI Agent Development
• cronos-cj-ai-agent-dev — Cronos AI Agent Development
• cursivepy — no summary
• dfapp — A Python package with a built-in web application
• distfuse — Compute DistFuse similarity scores from embedding models and APIs
• distilabel — Distilabel is an AI Feedback (AIF) framework for building datasets with and for LLMs.
• draive — Framework designed to simplify and accelerate the development of LLM-based applications.
• dsrag — State-of-the-art RAG pipeline from D-Star AI
• easyinstruct — An Easy-to-use Instruction Processing Framework for Large Language Models.
• ecologits — EcoLogits tracks and estimates the energy consumption and environmental impacts of using generative AI models through APIs.
• emb3d — emb3d.co command line inteface to work with embeddings.
• embedchain-101deploy — Simplest open source retrieval (RAG) framework
• embedchain-one — Simplest open source retrieval (RAG) framework
• embedchaincrewai — Simplest open source retrieval (RAG) framework
• embedders — High-level API for creating sentence and token embeddings
• embetter — Just a bunch of useful embeddings to get started quickly.
• evaltext — prompt evaluation tool.
• exponential — A Python package with a built-in web application
• fast-agent-mcp — Define, Prompt and Test MCP enabled Agents and Workflows
• fastrepl — Fast Run-Eval-Polish Loop for LLM App
• feste — Scalable NLP compositions with graph optimizations.
• flexrag — A RAG Framework for Information Retrieval and Generation.
• flying-delta-postprocessor-cohere-rerank — llama-index postprocessor cohere rerank integration
• fumedev — AI pair programmer
• gaia-core — Gaia SDK library
• gaia-lib — Gaia SDK library
• garak — LLM vulnerability scanner
• gitbrew — LLM-powered github utility
• glaider — A Python library to secure gen AI
• goodai-ltm — A text memory meant to be used with conversational language models.
• gpt-command-line — Command-line interface for ChatGPT and Claude
• GraphClusterer — A python package for clustering and summarizing graphs of texts.
• graphtomation — An AI utility package to build and serve Crew and LangGraph workflows as FastAPI routes, packed with reusable components for AI engineers.
• griptape — Modular Python framework for LLM workflows, tools, memory, and data.
• griptape-flow — Python framework for LLM workflows and pipelines.
• hexamind — Hexamind library to implement RAG solutions
• ia-planner-jerson — Planificador de tareas con IA implementando diferentes modelos
• ia-planner-jerson-gpt — Planificador de tareas con IA implementando diferentes modelos - 2024
• infinity-llm — use any llm api in a plug-and-play fashion
• instructor — structured outputs for llm
• kdbai-client — KDB.AI Client for Python
• kogi — Kogi Programming Assistant AI Dog
• labelkit — build unstructured to structured data transformation pipelines
• lamatic-airbyte-cdk — A framework for writing Airbyte Connectors.
• lancedb — lancedb
• langchain_1111_Dev_cerebrum — Building applications with LLMs through composability
• langchain-by-johnsnowlabs — Building applications with LLMs through composability
• langchain-cohere — An integration package connecting Cohere and LangChain
• langchain-ibis — Building applications with LLMs through composability
• langchain-xfyun — 在LangChain中流畅地使用讯飞星火大模型
• langchaincoexpert — Building applications with LLMs through composability
• langchainmsai — Building applications with LLMs through composability
• langchainn — Building applications with LLMs through composability