# Activepieces vs Hezo

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Hezo records 0 monthly visits with 0% growth and Free, Paid (Cloud) pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Hezo](https://openaitools.app/tool/hezo) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://hezo.ai |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Workflow, AI Writing Assistants, AI Tweet Generator, AI Website Builder |
| Pricing Model | Freemium | Free, Paid (Cloud) |
| Monthly Visits | 258,553 | 0 |
| MoM Growth Rate | +1.5% | 0% |
| Primary Market | United States | Global |
| Direct Visits | 111,328 | 0 |
| Review Score | 4.6 | 4.6 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Activepieces

Activepieces is an AI-first automation platform built around the idea that a team's agents and its people should share one workspace. At the center are AI agents: you describe a job in plain words and the agent works out the steps, the order and which tools to open across your connected apps and any MCP server you point it at. Sensitive steps can be gated behind human approval, so money, customer and production actions stay under control.

Underneath the agent layer sits a mature workflow engine with a visual builder. Chat can draft most of a flow, while branching, retries, waitpoints, subflows, error handling and human approvals handle the hard cases. Where a step needs real logic, you can drop into inline TypeScript and keep the rest visual. Chat, Tables (a lightweight structured data layer), a knowledge base and an MCP server round out the platform so agents and teammates operate on the same data.

The project is open source at its core, with hundreds of contributors maintaining MIT-licensed app pieces, and it deploys flexibly: Activepieces Cloud, your own Docker or Kubernetes infrastructure, or a fully air-gapped install. Enterprise controls include projects and access roles, SSO via Okta or Entra, secret managers such as HashiCorp Vault, audit logs streamed to your SIEM, and bring-your-own AI model keys from Anthropic, OpenAI, AWS Bedrock or Google Gemini.

**Pricing & Plans:** Freemium model: a free plan requiring no credit card lets you start building flows and agents, with paid plans for higher run volumes and enterprise features. Deployment options range from the managed cloud to self-hosted and air-gapped, and open-source users can run the community edition on their own infrastructure.

- **AI agents from plain language:** Describe a task in everyday words and the agent determines the steps, chooses tools from your connected apps and MCP servers, and pauses for approval on sensitive actions.
- **Visual flow builder with inline TypeScript:** Build automations on a canvas with branching, retries, waitpoints, subflows and error handling, then write inline TypeScript for the steps that need real code.
- **770+ open-source app connectors:** Every piece is MIT-licensed and community-built, covering the apps you already run, with an HTTP piece for any REST or GraphQL endpoint with auth and pagination handled.
- **Chat, Tables and knowledge base:** Draft flows by chatting, store structured data in Tables that flows and agents can read and write, and keep internal documents searchable by every agent.
- **Enterprise deployment and governance:** Run on the managed cloud, your Docker/Kubernetes stack or air-gapped, with projects, SSO, role-based access, secret managers, audit logs and bring-your-own AI keys.

**Strengths:** Open-source core with MIT-licensed pieces and a genuinely self-hostable build; Strong blend of AI agents, a visual builder and inline TypeScript; Enterprise-grade controls including SSO, roles, secret managers and audit streaming; Large connector library plus an HTTP piece for anything not covered

**Limitations:** The breadth of agents, tables, flows and MCP features can overwhelm new users; Some advanced enterprise capabilities are reserved for paid and self-managed plans; Self-hosting means you own upgrades, scaling and reliability

[Profile (Markdown)](https://openaitools.app/tool/activepieces.md)

## Hezo

Hezo is built on the premise that one assistant is one context window, while real work needs a team. It lets you create and manage teams of AI agents with defined roles: a CEO at the top, captains in the middle, and specialists executing tasks. This meta-harness sits above the model layer and coordinates the whole team, so work moves on a heartbeat rather than a single prompt. A live task board with memory, goals the team reports against, and full work history keep everything visible — nothing happens off-screen.

A distinguishing feature is durable self-improvement. A Coach reviews every completed task and writes rules back into the right agent's prompt, so the same mistake does not land twice. These learned rules are additive, visible, and reversible. Agents also write their own reusable skill files and can load external ones, building know-how that compounds across runs. You can talk to your team live in real-time chat, including parallel threads, files, and memory, and Hezo joins your broader team through Slack, Telegram, and Discord.

Security and control are handled deliberately. Agents see secret placeholders rather than real values, secrets are encrypted at rest, and every project runs in an isolated container with a full audit trail. Budget caps stop runaway spend, and hires, sensitive actions, and publishing all wait for your approval. Hezo is open source and free to self-host with one binary and embedded Postgres, or you can use Hezo Cloud to avoid running a server. It works with frontier models including Anthropic, OpenAI, Google, and others, plus local models via Ollama and LM Studio.

**Pricing & Plans:** Free

- **Coordinated agent teams:** A CEO orchestrates captains and specialist workers — a meta-harness above the model layer that coordinates the whole team.
- **Self-improvement via Coach:** A Coach reviews finished work and writes durable rules back to each agent, so teams get better every week, additively and reversibly.
- **Task board and work history:** A live task board with memory, goals the team reports against, and a full work history behind every task.
- **Model choice with budget caps:** Ten model providers on one platform, including Anthropic, OpenAI, Google, and local options via Ollama and LM Studio, with hard spend caps per agent.
- **MCP connectors everywhere:** A built-in MCP server plus external connectors, so agents can drive the tools you already use.

**Strengths:** Open source and free to self-host with one binary and embedded Postgres; Role-based agent teams with a Coach that improves agents over time; Strong security: secret placeholders, container isolation, and audit trails; Hard per-agent budget caps to control spend

**Limitations:** Self-hosting requires running a server and managing your own model keys; Orchestrating a multi-agent team has a learning curve versus a single assistant; Agent runs cost money on cloud plans depending on model usage and budgets

[Profile (Markdown)](https://openaitools.app/tool/hezo.md)

## Frequently Asked Questions

### How do Activepieces and Hezo compare in monthly traffic?

Activepieces has 258,553 monthly visits, while Hezo has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Activepieces has a month-over-month growth rate of +1.5%; Hezo has 0%.

### How does pricing compare?

Activepieces: Freemium. Freemium model: a free plan requiring no credit card lets you start building flows and agents, with paid plans for higher run volumes and enterprise features. Deployment options range from the managed cloud to self-hosted and air-gapped, and open-source users can run the community edition on their own infrastructure. Hezo: Free, Paid (Cloud). Free

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Automate work across thousands of apps — no code required | [.md](https://openaitools.app/tool/zapier-com.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) |
| 4 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Streamlined interface for deploying custom AI agents, but less flexible for traditional data integration pipelines. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 5 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Stronger focus on RAG knowledge bases and LLM application development, but less general business automation. | [.md](https://openaitools.app/tool/dify-ai.md) |
| 6 | [CREAO](https://openaitools.app/tool/creao) | 619,749 | +39.2% | Freemium | AI agents that run recurring business work for your team | [.md](https://openaitools.app/tool/creao.md) |
| 7 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Turn one prompt into live business apps, AI agents and automated workflows | [.md](https://openaitools.app/tool/taskade.md) |
| 8 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Build, share, and control AI agents that actually do the work | [.md](https://openaitools.app/tool/gumloop.md) |
| 9 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Enterprise-grade security and governance for workflows, but geared more toward security and IT operations. | [.md](https://openaitools.app/tool/tines.md) |
| 10 | [CellCog](https://openaitools.app/tool/cellcog) | 200,933 | +92.4% | Paid | Hire autonomous AI employees that own real work | [.md](https://openaitools.app/tool/cellcog.md) |

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Source: https://openaitools.app/compare/activepieces-vs-hezo

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