Dev Tools

Zero-trust pre-flight repo scanner for AI coding assistants: scans a codebase's instruction surface for prompt injection and supply-chain attacks before Claude Code, Cursor, Codex, or Gemini reads it. Ships with a false-negative ledger.

An open-source framework and platform designed for packaging, deploying, and scaling AI/ML models and custom inference pipelines in production.

An AI observability and evaluation platform designed to monitor, trace, and test AI products and agents at scale.

An open-source, serverless, and scalable search infrastructure for AI products supporting vector, full-text, regex, and metadata search.

An enterprise AI evaluation, red teaming, and observability platform that helps teams monitor, trace, and stress-test LLM applications.

Open-source framework that orchestrates multiple autonomous AI agents through role-playing collaboration, using intuitive crew/agent/task abstractions. CrewAI Cloud and Enterprise add hosting and operational tooling.

Agent-native analytics engineering toolkit: point it at your warehouse and dbt project and it learns the structure, writes transformations, and pinpoints exactly what to fix when schemas drift. Built for analytics and data engineers who want coding agents to do more of the data work.

An open-source LLM application development platform for building, testing, and deploying agentic workflows, RAG pipelines, and AI assistants.

An open-source inference server designed to deploy AI models across major frameworks (TensorRT, PyTorch, ONNX, OpenVINO, Python, and RAPIDS FIL) on GPUs, CPUs, and accelerators.

An open-source, visual developer platform for building and orchestrating AI agents, chatbots, and retrieval-augmented generation workflows using a drag-and-drop interface.

An enterprise-grade AI observability and evaluation platform for LLM applications, enabling developers to run offline evaluations, auto-tune metrics, and deploy optimized low-latency guardrails using compact Luna models.

An AI reliability platform and framework designed for building, governing, and scaling production GenAI applications. It provides runtime guardrails to detect policy violations, hallucinations, and data leakage, alongside capabilities for simulating realistic datasets and generating evaluation datasets.

An AI gateway and LLM observability platform designed to route, debug, and analyze LLM applications.

Declarative language and toolchain for AI agents: define agents, tools, and prompts in HCL, then compile to a framework or manage them with plan/apply semantics on a hosted platform. Billed as "Terraform for AI agents".

An AI-native security platform that provides runtime protection, data leakage prevention, and red teaming for GenAI applications, agents, and workforce AI usage.

An open-source AI engineering platform designed for LLM observability, tracing, prompt management, evaluation, and experiments.

Low-level orchestration framework for stateful, long-running agents, built by LangChain. Provides state management, persistence, and controllable graph execution; used in production by Klarna, Replit, and Elastic. LangGraph Platform adds managed deployment.

LlamaIndex provides document parsing, indexing, and orchestration workflows for AI agents and RAG pipelines. Its suite includes LlamaParse, a VLM-powered cloud parser for complex layouts, and LiteParse, a local open-source alternative for parsing PDFs, Office docs, and images.

A tool that enables running open large language models locally and scaling to the cloud.

A fully managed vector database designed for building AI applications, agent memory, semantic search, and recommendation systems.

An automated security testing and evaluation tool designed to find and fix vulnerabilities, jailbreaks, data leaks, and model risks in LLM applications, agents, and RAG pipelines.

Qdrant is a high-performance, open-source vector search engine and database written in Rust. It supports native hybrid search (dense and sparse vectors), built-in multivector support, advanced metadata filtering, and real-time indexing for AI applications like RAG and recommendation systems.

An open-source framework designed to evaluate and monitor Retrieval-Augmented Generation (RAG) systems by providing automated metrics, synthetic test data generation, and online quality tracking.

An application security platform that combines AI reasoning with rule-based static analysis to detect, triage, and remediate vulnerabilities, dependencies, and hardcoded secrets.

An AI-powered security platform that validates AI-generated code, governs development agents, and secures AI-native applications.

An open-source evaluation and tracing framework for AI agents and LLM applications, allowing developers to measure execution flows and application quality using metrics like groundedness and context relevance.

An ingestion and pre-processing platform designed for GenAI that extracts, parses, chunks, and embeds unstructured data from over 64 file types into structured formats ready for AI models and analysis.

A high-throughput and memory-efficient LLM inference and serving engine designed for easy, fast, and cost-efficient model deployment on multiple hardware platforms.

Weaviate is an open-source vector database and AI development platform that enables developers to store, index, and search high-dimensional vectors. It includes built-in embeddings generation, a natural language Query Agent, and features for building Retrieval-Augmented Generation (RAG) and personalized AI experiences.