8 Best Activepieces Alternatives in 2026 (Open Source)
Activepieces — 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 Agent. Largest open source MCP toolkit with 280+ pieces automatically available as MCP servers for LLM integration.
These 8 open-source tools do the same job. They are ordered by how closely they match Activepieces, with live GitHub data so you can see which projects are actively maintained.
| Tool | GitHub stars | Stars / 30d | Last commit |
|---|---|---|---|
| Activepieces(original) | 24.8k | +2,068 | 2026-09-30 |
| Kestra | 28.6k | +2,380 | 2026-09-30 |
| n8n | 206.4k | +4,014 | 2026-09-30 |
| AgentPilot | 568 | +5 | 2025-05-15 |
| Langflow | 155.4k | +1,458 | 2026-09-29 |
| voltagent | 10.7k | +587 | 2026-09-28 |
| Flock | 1.1k | +4 | 2026-07-06 |
| Mastra | 28.5k | +973 | 2026-09-30 |
| Agent Development Kit (ADK) | 21.7k | +1,807 | 2026-09-30 |
1. Kestra
Event Driven Orchestration & Scheduling Platform for Mission Critical Applications
What sets it apart: Combines traditional workflow orchestration with AI-native features including built-in MCP server and AI agent task types.
Best for: Orchestrating AI agent workflows; Building RAG pipelines; Integrating AI agents with MCP tools
2. n8n
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
What sets it apart: Unlike Zapier (pure no-code, closed-source), n8n combines visual workflow building with inline JavaScript/Python code and self-hosting, making it the go-to for technical teams who need both flexibility and control
Best for: Technical teams building AI-powered workflow automations with visual + code flexibility; Enterprises needing self-hosted automation with SSO and air-gapped deployment
3. AgentPilot
A versatile workflow automation platform to create, organize, and execute AI workflows, from a single LLM to complex AI-driven workflows.
What sets it apart: vs ChatGPT/Claude desktop: local multi-agent workflow builder with graph-based design, 20+ LLM providers via LiteLLM, branching chats, and built-in multi-language code interpreter
Best for: Power users building complex multi-agent workflows on desktop; Developers wanting visual graph-based agent orchestration with code execution
4. Langflow
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
What sets it apart: Best visual builder for LLM workflows with direct MCP server deployment — more production-ready than Flowise with API-first architecture
Best for: Rapid prototyping of AI agent workflows with visual builder; Non-developers building LLM applications without coding
5. voltagent
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
What sets it apart: Full-stack TypeScript agent platform with built-in workflow engine, voice support, and observability console — more opinionated than Vercel AI SDK, more TypeScript-native than LangChain
Best for: TypeScript developers building production agent systems with observability; Multi-agent systems with workflow orchestration and voice capabilities
6. Flock
Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent teams, powered by LangGraph, Langchain, FastAPI, and NextJS.（Flock 是一个基于workflow工作流的低代码平台，用
What sets it apart: vs Dify/Flowise: native human-in-the-loop approval, subgraph nodes for modular reuse, and MCP protocol support for flexible tool integration
Best for: Teams building conversational AI with visual workflow design; Organizations needing human-in-the-loop agent workflows
7. Mastra
From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
What sets it apart: Unlike LangChain (Python-first, complex abstraction) or CrewAI (Python multi-agent), Mastra is purpose-built for TypeScript with native Next.js/React integration, graph-based workflows with .then()/.branch()/.parallel() syntax, and built-in evals — making it the most natural choice for JS/TS production agent development.
Best for: TypeScript/Node.js teams building production AI agents with React/Next.js frontends; Developers who want agent workflows with human-in-the-loop approval built into their existing JS stack
8. Agent Development Kit (ADK)
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
What sets it apart: Applies software development principles and a graph-based runtime to AI agent creation for deterministic execution flows.
Best for: Developers seeking a code-first Python framework; Building complex, orchestrated agent workflows; Teams needing modular and testable agent systems
FAQ
- What are the best alternatives to Activepieces?
- The closest open-source alternatives to Activepieces are Kestra, n8n and AgentPilot, followed by Langflow, voltagent and Flock. They are ranked by how closely they match what Activepieces does.
- Which Activepieces alternative is the most popular?
- n8n has the most GitHub stars among Activepieces alternatives, with 206,374 stars.
- Which Activepieces alternative is the most actively maintained?
- By recent activity, Mastra (3,994 commits in the last 90 days) is the most actively developed alternative.