Workflow automation

ai agents and AI tools that connect apps and run workflows.

27 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.

Framework for automating Android devices with natural-language commands 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.

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-source low-code platform that generates full-stack apps and ai agents from natural language.

TypeScript framework for building ai agents, workflows, and applications.

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.