Explore Data & AI Tools
Search and filter structured profiles for 337 data and AI technologies. Compare pricing, deployment models, architecture fit, public adoption signals, alternatives, and related stack components.
Search and filter structured profiles for 337 data and AI technologies. Compare pricing, deployment models, architecture fit, public adoption signals, alternatives, and related stack components.
Agno pairs the fastest framework available with the first enterprise-ready agentic operating system, AgentOS. Build, run, and manage secure multi-agent systems inside your cloud.
Microsoft's framework for building multi-agent conversational AI systems with customizable and composable agents.
AutoGPT empowers you to create intelligent assistants that streamline your digital workflow, enabling you to dedicate more time to innovative and impactful pursuits.
Framework for orchestrating role-playing autonomous AI agents that collaborate to solve complex tasks.
Google's open agent framework — hierarchical multi-agent composition, graph workflows that mix deterministic code with model reasoning, a local dev UI and evaluation harness, and a deployment path onto Vertex AI Agent Engine. Python, TypeScript, Go, Java and Kotlin.
Create agentic, context engineered AI systems using Haystack’s modular and customizable building blocks, built for real-world, production-ready applications.
LangChain provides the engineering platform and open source frameworks developers use to build, test, and deploy reliable AI agents.
Framework for building stateful, multi-actor AI agent applications with cycles, controllability, and persistence — built on LangChain.
Open-source data framework for connecting private data to LLMs — ingestion, chunking, indexing and retrieval for RAG, with LlamaCloud for managed parsing and indexing.
Discover the journey from MetaGPT's open-source roots through MGX to Atoms — a complete AI-powered commercialization engine. Describe your idea and start building instantly.
OpenAI's own agent framework — agents, handoffs, guardrails and sessions over the Responses and Chat Completions APIs, with tracing built in and Python and TypeScript implementations that track each other.
Typed Python agent framework from the Pydantic team — one agent loop with every model a string swap away, validated structured output, and the same agent runnable behind a web frontend, a CLI, a voice call or a durable queue.
Microsoft's open-source SDK for integrating LLMs into applications with AI agents, planners, and plugin architecture.