choose for lightweight multi-agent workflows with OpenAI-first design and no visual flow editor
A lightweight, powerful framework for multi-agent workflows
- 28.9k
- Python
- MIT
LLM application development
Prompt flow is a Microsoft toolkit for building, testing, evaluating, deploying, and monitoring LLM-based applications using executable flows that link prompts, Python code, and tools.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
choose for lightweight multi-agent workflows with OpenAI-first design and no visual flow editor
A lightweight, powerful framework for multi-agent workflows
choose for role-based autonomous agent teams with defined personas and tasks
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
choose for a self-hosted personal agent framework with WebUI and MCP support, if you don't need promptflow's eval suite
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
choose for fine-grained control over agent state graphs and resilient execution
Build resilient agents.
choose for a Google code-first agent toolkit with built-in eval/deployment, especially on GCP
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
choose for a Microsoft-supported agent framework that also targets .NET, if you prefer agents over flows
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
choose for a JVM/Kotlin agent framework when you're not using Python
Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/
choose for building/managing agent platforms with agent abstractions instead of promptflow's flow DAGs
Build, run, and manage agent platforms.
choose for a Go code-first agent toolkit instead of Python
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
choose for a batteries-included agent harness that minimizes boilerplate, though it lacks promptflow's evaluation tooling
The batteries-included agent harness.
choose for production-focused multi-agent orchestration if agent coordination matters more than flow development
Multi-Agent Harness for Production AI
choose for low-code autonomous agent teams with quick setup, sacrificing deep evaluation
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
choose for quickly generating UIs around AutoGen-style workflows, but expect slower maintenance
The fastest way to bring multi-agent workflows to production.
choose for TypeScript-based managed background jobs and agent workflows with cloud deployment
Trigger.dev – build and deploy fully‑managed AI agents and workflows
choose for a general Python LLM framework with a large ecosystem, adding your own evaluation and deployment
The agent engineering platform.
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
choose for a self-hosted no-code LLM app platform with visual workflows and model/tool management
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
choose for a collaborative visual workspace to build and monitor agents and workflows
Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.
choose for an all-in-one visual agent development platform with deployment, rather than code-defined flows
An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.
choose for an enterprise agentic workflow platform with commercial support, if you want a turnkey system
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
choose for a ready-made self-hosted knowledge-agent platform with RAG and multi-agent workflows
可私有部署的多租户知识智能体平台:统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.
choose for a collaborative web workspace to build agents and automations, if you prefer a hosted app
Agenta is a workspace where you and your team build agents and automations.
These projects were analysed and named promptflow among their alternatives. The relationship is not symmetric — how promptflow rates them is a separate judgement, made when promptflow is analysed in its own right.
calls promptflow “code/notebook-first tool for LLM app dev and testing; choose for rigorous prompt evaluation pipelines.”
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
calls promptflow “Developer-coded LLM flow toolkit; choose when you want Azure-bound evaluation and prompt tuning.”
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
calls promptflow “Choose for integrated LLM app development with evaluation and monitoring, preferring a code-first or VS Code-based flow.”
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
calls promptflow “Choose when focused on prompt engineering, evaluation, and deploying LLM workflows.”
Build, run, and manage agent platforms.
calls promptflow “LLM app development/evaluation tool for prompt iteration, not an internal tool builder.”
ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀
calls promptflow “LLM app lifecycle tool; choose it for prototyping/testing/monitoring LLM apps, not for a self-hosted chatbot server.”
AI Agent Assistant & development framework that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨
calls promptflow “Choose for a prompt-flow development lifecycle with integrated evaluation and monitoring of LLM apps.”
Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.
calls promptflow “Choose when you want an LLM app development/evaluation pipeline rather than a no-code automation runtime.”
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
calls promptflow “LLM app development tool with prompt orchestration and testing; better for prompt-centric workflows than full agent platforms.”
An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.
calls promptflow “Microsoft's LLM app development suite; choose when you need a Microsoft-centric workflow for prompt testing, evaluation, and deployment instead of Botpress's integration hub.”
The open-source hub to build & deploy GPT/LLM Agents ⚡️
calls promptflow “Choose if you need a Python toolchain for evaluating and deploying LLM workflows.”
LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.
calls promptflow “Choose it if you prefer a flow-based approach to building LLM apps across prototyping and production.”
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
calls promptflow “choose it when you want a GUI/CLI tool for prototyping and monitoring LLM apps.”
Multi-Agent Harness for Production AI