Search and filter curated AI tools. Find the right tool for your task.
LMQL is a query language for large language models. It mixes Python with prompt constraints for structured generation. Developers write programs that treat LLMs as part of the pipeline. The project comes from ETH Zurich researchers and is open source.
Mirascope is a Python library for LLM app development. It adds structured outputs, prompt management, and tool calling with clean syntax. Developers build maintainable pipelines that are easy to test. The library is open source and free to use.
MongoDB Atlas Vector Search adds vector capabilities to Atlas. It supports semantic queries and RAG inside native Mongo collections. Developers manage vectors and documents with one database. Mongo customers add AI features without picking a new data store.
Needle is a RAG-as-a-service platform for product teams. It lets teams build knowledge agents from PDFs, websites, and team docs. Setup is light and the API handles retrieval under the hood. Developers use Needle to ship chat-with-docs features fast.
NeMo Guardrails is an open-source toolkit from Nvidia. It adds programmable safety rails to LLM conversational apps. Developers define what the bot can and cannot do in config files. Enterprises use it to ship safer generative AI products.
Nvidia NIM stands for Nvidia Inference Microservices. It packages optimized foundation models for fast deployment on Nvidia GPUs. Developers start with a ready-to-serve container per model. Enterprises use NIM to standardize AI inference across their stack.
OpenAI Platform is the developer gateway for OpenAI models. It offers GPT models, Assistants, fine-tuning, and realtime voice APIs. Developers sign up with a simple account and start sending requests. The platform powers thousands of AI applications.
Ragie is a managed retrieval-augmented generation API. It includes connectors, chunking, and ranking tuned for product teams. Developers point Ragie at data sources and get search out of the box. Startups use Ragie to ship RAG features without deep ML work.
RagStack is DataStax's production RAG stack. It bundles vector search, LLMs, and retrieval pipelines with enterprise support. Customers get tested components that work together. Large companies pick RagStack for reliable RAG at scale.
Redis Vector is the vector database feature set inside Redis. It supports fast nearest neighbor search, caching, and RAG. Existing Redis clusters add AI workloads with minimal effort. Engineers use Redis Vector for low-latency AI retrieval.
Reducto is a document AI platform for complex PDFs, tables, and forms. It extracts clean structured data at scale. The platform handles edge cases that break generic parsers. Finance and legal teams use Reducto to move from messy PDFs to clean data.
Steamship is a managed platform for building full-stack AI agents. It handles shipping and scaling language apps out of the box. Developers define agents in Python and deploy to the cloud. The platform suits indie developers and small teams.
SuperDuperDB is an open-source framework for adding AI to databases. It supports MongoDB, Postgres, and other popular stores. Developers add vector search and model serving to existing systems. The project saves teams from running a separate AI infrastructure.
Traceloop is an open-source LLM observability platform. It uses OpenTelemetry tracing, evals, and dashboards for AI apps. Developers debug prompts and track performance over time. The project integrates with major frameworks and model providers.
Vespa is an open-source platform for vector search at scale. Combines vectors with structured data and text. Approximate nearest neighbor with re-ranking. Real-time indexing. Used by Yahoo and Spotify.
AutoGPT is an open autonomous AI agent platform. It helps users build and run goal-driven agents with tool use and memory. Projects chain many steps to complete tasks. AutoGPT sparked much of the early agent wave in 2023.
Bloop is an AI code search and chat tool for private codebases. Developers ask questions in natural language and get code-level answers. The tool explains code and helps with onboarding to new repos. Teams use Bloop to cut time spent searching through legacy projects.
Buildkite AI adds AI to the Buildkite CI/CD platform. It analyzes pipelines, detects flaky tests, and reports on performance. Teams keep release pipelines fast and reliable. Engineering teams use Buildkite for scalable continuous delivery.
CodeGPT is an AI coding platform with IDE extensions. It supports VS Code and JetBrains with custom agents and multi-model chat. Developers choose which LLM to use for each task. The platform fits teams that want flexibility across models.
CodeSee is a code visualization platform for engineering teams. AI-generated maps show services, diffs, and onboarding tours. New engineers get up to speed on large codebases faster. Mid-size and large teams use CodeSee for codebase navigation.
