ai agent frameworks

Frameworks and libraries builders use to make ai agents.

48 listings · 1–20

Open protocol for agents to stream declarative UIs without executing arbitrary code.

Open-source low-code Python framework for agents and YAML cognitive architectures.

Self-hosted Python agent platform with AgentOS runtime and browser control plane.

Open-source React toolkit for production AI chat UIs and copilots.

Microsoft open-source framework for multi-agent chat apps and event-driven agent systems.

Open-source Python framework and CLI for single- and multi-agent systems with built-in tools.

Open-source library and cloud for ai agents that operate real web browsers.

Durable Objects SDK to build and host stateful ai agents on Cloudflare’s edge.

Open-source framework and platform for multi-agent crews and event-driven flows.

Open-source AI orchestration framework for production RAG pipelines and LLM agents.

Open-source platform for building, debugging, and deploying collaborative GPT agents and workflows.

JavaScript framework for building, visualizing, and managing multi-agent AI workflows.

Enterprise platform for building, deploying, governing, and optimizing ai agents.

An agent engineering platform designed to support the development and deployment of ai agents.

LLM observability platform for tracing, evaluating, and monitoring AI applications.

Graph-based framework for building stateful, controllable agent workflows.

Python framework for building multi-agent LLM applications with message-based collaboration.

Platform for observing, evaluating, and deploying ai agents and LLM applications.

Data framework for building LLM applications, RAG systems, and agentic workflows.

Modular Python package for building extensible Auto-GPT-style agents.