---
title: "activepieces vs openagent"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/activepieces-activepieces-vs-haohao-end-openagent"
tools: ["activepieces-activepieces", "haohao-end-openagent"]
---

# activepieces vs openagent

Neutral, constraint-first comparison with live GitHub stats.

| | [activepieces](/tools/activepieces-activepieces.md) | [openagent](/tools/haohao-end-openagent.md) |
| --- | --- | --- |
| Tagline | AI Agents & MCPs & AI Workflow Automation | An end-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications. |
| Stars | 23,169 | 825 |
| Forks | 3,900 | 80 |
| Open issues | 586 | 45 |
| Language | TypeScript | Python |
| Adopt for | Activepieces is an open-source platform for AI-driven workflow automation, with a focus on community-contributed pieces and AI agents. It's a TypeScript-based framework designed to integrate with other LLM platforms via | OpenAgent is a full-stack platform designed for teams to create, manage, and publish AI applications with a combination of visual workflow authoring, an advanced backend stack (Flask, LangChain/LangGraph), and a Vue 3 UI |
| Persona | - | - |
| Runtime | - | - |
| License | MIT License | Open-source under MIT License |
| Categories | AI Agents, Developer Tools | AI Agents |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [activepieces](/tools/activepieces-activepieces.md) | [openagent](/tools/haohao-end-openagent.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Active (82%) |
| Days since push | 0d | 13d |
| Open issues (now) | 586 | 45 |
| Owner type | Organization | User |
| Full report | [trust report](/tools/activepieces-activepieces/trust.md) | [trust report](/tools/haohao-end-openagent/trust.md) |

**Typed relationship:** activepieces _(successor)_ openagent

OpenAgent appears to be a more comprehensive platform for building AI workflows and agents compared to activepieces, emphasizing a broad range of features like visual workflows.

Coexists - Both platforms coexist in the market but OpenAgent adds substantial breadth to its offerings.

## Decision facts: activepieces

- **Requirements:** Min 0.5 GB RAM
- **Adopt for:** Activepieces is an open-source platform for AI-driven workflow automation, with a focus on community-contributed pieces and AI agents. It's a TypeScript-based framework designed to integrate with other LLM platforms via
- **License detail:** MIT License

## Decision facts: openagent

- **Requirements:** Min 4 GB RAM; Requires Docker; Requires Python 3.11 or higher.; Docker Compose is required for running the application and managing services.
- **Adopt for:** OpenAgent is a full-stack platform designed for teams to create, manage, and publish AI applications with a combination of visual workflow authoring, an advanced backend stack (Flask, LangChain/LangGraph), and a Vue 3 UI
- **License detail:** Open-source under MIT License

## Choose when

### Choose activepieces if…

- activepieces is primarily TypeScript; openagent is Python.
- License: activepieces is Other, openagent is MIT.
- Requirements: Min 0.5 GB RAM.
- OpenAgent appears to be a more comprehensive platform for building AI workflows and agents compared to activepieces, emphasizing a broad range of features like visual workflows.
- Tags unique to activepieces: no-code-automation, workflow-automation, ai-agent.
- Also covers Developer Tools.
- activepieces ships Docker support for self-hosted deployment.
- activepieces ships an MCP server manifest.
- You’re targeting an environment where you want to leverage community contributions significantly - Activepieces has over 60% of its pieces contributed by the community.

### Choose openagent if…

- openagent is primarily Python; activepieces is TypeScript.
- License: openagent is MIT, activepieces is Other.
- Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.11 or higher.; Docker Compose is required for running the application and managing services..
- OpenAgent appears to be a more comprehensive platform for building AI workflows and agents compared to activepieces, emphasizing a broad range of features like visual workflows.
- Tags unique to openagent: ai, flask, faiss-vector-database, docker.
- - You need a comprehensive solution for building complex AI agents that can handle deep reasoning loops and multi-step tasks using technologies like RAG, A2A delegation.

## When NOT to use activepieces

- Your team predominantly works on projects that don't benefit from an open-source ecosystem or are not interested in contributing to the community.
- If your project strictly forbids or avoids TypeScript, given all pieces in Activepieces are npm packages written in TypeScript, it might not be the best fit.

## When NOT to use openagent

- - If you are looking for a platform primarily aimed at creating simple chatbots or single-purpose applications without the need for extensive workflow customization and deep reasoning capabilities.
- - You prefer tools that do not rely heavily on visual component orchestration, as OpenAgent's strength lies in its visual workflow design environment which may be overkill for simpler use cases.

## Common questions

### What is the difference between activepieces and openagent?

activepieces: AI Agents & MCPs & AI Workflow Automation. openagent: An end-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications.. See the comparison table for live GitHub stats and shared categories.

### When should I choose activepieces over openagent?

Choose activepieces over openagent when activepieces is primarily TypeScript; openagent is Python; License: activepieces is Other, openagent is MIT; Requirements: Min 0.5 GB RAM; OpenAgent appears to be a more comprehensive platform for building AI workflows and agents compared to activepieces, emphasizing a broad range of features like visual workflows; Tags unique to activepieces: no-code-automation, workflow-automation, ai-agent; Also covers Developer Tools; activepieces ships Docker support for self-hosted deployment; activepieces ships an MCP server manifest; You’re targeting an environment where you want to leverage community contributions significantly - Activepieces has over 60% of its pieces contributed by the community.

### When should I choose openagent over activepieces?

Choose openagent over activepieces when openagent is primarily Python; activepieces is TypeScript; License: openagent is MIT, activepieces is Other; Requirements: Min 4 GB RAM; Requires Docker; Requires Python 3.11 or higher.; Docker Compose is required for running the application and managing services.; OpenAgent appears to be a more comprehensive platform for building AI workflows and agents compared to activepieces, emphasizing a broad range of features like visual workflows; Tags unique to openagent: ai, flask, faiss-vector-database, docker; - You need a comprehensive solution for building complex AI agents that can handle deep reasoning loops and multi-step tasks using technologies like RAG, A2A delegation.

### When should I avoid activepieces?

Your team predominantly works on projects that don't benefit from an open-source ecosystem or are not interested in contributing to the community. If your project strictly forbids or avoids TypeScript, given all pieces in Activepieces are npm packages written in TypeScript, it might not be the best fit.

### When should I avoid openagent?

- If you are looking for a platform primarily aimed at creating simple chatbots or single-purpose applications without the need for extensive workflow customization and deep reasoning capabilities. - You prefer tools that do not rely heavily on visual component orchestration, as OpenAgent's strength lies in its visual workflow design environment which may be overkill for simpler use cases.

### Is activepieces or openagent more popular on GitHub?

activepieces has more GitHub stars (23,169 vs 825). Stars measure visibility, not whether either tool fits your constraints.

### Are activepieces and openagent open source?

Yes - both are open-source projects on GitHub (activepieces: Other, openagent: MIT).

### Where can I find alternatives to activepieces or openagent?

GraphCanon lists graph-backed alternatives at /tools/activepieces-activepieces/alternatives and /tools/haohao-end-openagent/alternatives (/tools/activepieces-activepieces/alternatives.md, /tools/haohao-end-openagent/alternatives.md), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at /compare/activepieces-activepieces-vs-haohao-end-openagent.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, activepieces or openagent?

activepieces: Very active. openagent: Active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for activepieces and openagent?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: activepieces: /tools/activepieces-activepieces/trust; openagent: /tools/haohao-end-openagent/trust.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=activepieces-activepieces`](/api/graphcanon/graph?tool=activepieces-activepieces)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
