AI Agents for Workflow Automation

A list of 182 AI agents and tools that run multi-step work across your apps.

23 listings · 1–20

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

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

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

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

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

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

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

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

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

Open protocol for connecting AI applications with tools, data sources, and prompts.

Databricks MCP services connect ai agents with governed data and enterprise tools.

Open-source SDK for building agents with tools, handoffs, guardrails, and tracing.

Python framework for building typed ai agents with tools, structured outputs, and model integrations.

Enterprise platform for building controlled ai agents across text, voice, and business workflows.

Open-source Python library for building and running model-agnostic agents with little code.

AI workforce platform with a Chief of Staff and specialized Co-Worker agents.

Open-source framework and platform for building, deploying, and managing autonomous ai agents.

Enterprise agent platform for voice and digital customer service across contact center systems.