Coding & Development AI Tools
1,744 tools
1,744 tools · page 66 of 73
LangSmith traces, evaluates, and monitors language model application runs, aimed at developers who need visibility into why an LLM app produced a particular output in production.
AI-powered tool to migrate legacy websites to React and Next.js templates
Letta, formerly known as MemGPT, provides infrastructure for building AI agents that maintain long-term memory and state across many interactions rather than starting fresh each time.
Levity lets non-technical users build AI workflows that classify emails, documents, and images, connecting the results into existing business tools without writing code.
LightOn builds generative AI models and infrastructure for enterprises that need to run AI privately on their own data, positioned as a French and European alternative to US AI providers.
AI-powered website builder generating pages and copy with AI
LiteLLM lets developers call over a hundred different LLM APIs using a single, OpenAI-compatible format, simplifying the process of switching or comparing model providers.
LlamaIndex helps developers ingest, index, and query private data sources so language models can answer questions grounded in that data, a common building block for RAG applications.
LM Studio lets users download and run open-source language models directly on their own computer through a simple desktop interface, without needing cloud API access.
LMQL is a programming language that lets developers write structured, constrained queries against large language models, aimed at more reliable and controllable LLM outputs than plain prompting.
Lokalise helps software teams manage translation files and localization workflows across many languages, with AI features that suggest and pre-translate new content.
Ludo.ai helps game designers research competitor games, generate concept art, and brainstorm mechanics, aimed at speeding up the early ideation phase of game development.
mabl uses AI to create, run, and maintain automated software tests, automatically adapting tests when the underlying application UI changes, aimed at QA teams reducing test maintenance work.
Magic develops frontier AI models specialized for software engineering with very large context windows, aimed at handling entire codebases in a single reasoning pass.
Maxim AI helps teams evaluate and monitor generative AI applications before and after deployment, aimed at giving AI product teams more confidence shipping to production.
Mem0 gives AI applications a persistent memory layer that stores and retrieves relevant facts about users across sessions, aimed at making agents feel more personalized over time.
Milvus is an open-source vector database designed to handle billions of embeddings, aimed at large-scale production AI search and recommendation systems.
MindPal lets users build and coordinate a team of AI agents to handle different tasks together, aimed at people who want an AI-powered personal knowledge and task system.
Mistral AI develops a family of open-weight and commercial language models along with an API platform, positioned as Europe's leading alternative to US-based frontier model providers.
MLflow is an open-source tool for tracking experiments, packaging models, and managing deployment across the machine learning lifecycle, widely used as a free foundation for MLOps.
Mocha generates working applications from a natural-language description, aimed at founders and non-developers who want to build a functional app prototype quickly.
Modal lets developers run Python code, including AI model training and inference, on cloud GPUs by simply adding decorators to existing code, aimed at teams who want infrastructure without DevOps overhead.