# Activepieces vs Manaflow

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Manaflow records 0 monthly visits with 0% growth and Open Source / Contact for Pricing pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Manaflow](https://openaitools.app/tool/manaflow) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://manaflow.ai |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Agent, AI Workflow, AI Developer Tools, AI Spreadsheet |
| Pricing Model | Freemium | Open Source / Contact for Pricing |
| 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 | 4.4 |
| 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)

## Manaflow

Manaflow has evolved into an open-source applied AI lab focused on developer tooling. Rather than an office-automation spreadsheet product, the project now ships tools for engineers who work with AI coding agents day to day. Its flagship is cmux, an open-source terminal purpose-built for coding agents.

The lab's work centres on a practical problem: modern developers juggle several AI coding assistants at once, and running them serially is slow. Manaflow's tooling spawns agent CLIs in parallel across multiple tasks, giving each run its own isolated environment — described on the site as an isolated VS Code instance via Docker, with a git diff UI and terminal — so agent work stays separated and reviewable.

The project is open source and distributes its code through GitHub, with a community reachable via GitHub, Discord, LinkedIn and a contact link. Manaflow does not publish self-serve pricing on its website: the /pricing page returns a 404, so commercial engagement appears to be arranged directly with the team rather than through public plans.

**Pricing & Plans:** No public pricing is published. The site has no self-serve plans and /pricing returns a 404, so licensing or commercial engagement is presumably arranged directly with the Manaflow team. The core tooling is described as open source and is distributed via GitHub.

- **cmux open-source terminal:** A terminal built specifically for coding agents, released as open source and available through GitHub.
- **Parallel agent execution:** Runs multiple AI coding agent CLIs across separate tasks at the same time instead of one after another.
- **Broad agent support:** Aimed at assistants including Claude Code, Codex, Gemini CLI, Amp and Opencode.
- **Isolated per-run environments:** Each run gets its own isolated environment — described as a Docker-based VS Code instance — with a git diff UI and terminal.
- **Open-source codebase:** Source code is public on GitHub, with the community reachable through GitHub, Discord and LinkedIn.

**Strengths:** Open source, with code publicly available via GitHub; Directly targets the real pain point of running multiple coding agents concurrently; Isolated per-run environments with a git diff UI make agent changes easy to review; Supports a wide range of popular agent CLIs rather than locking users into one vendor

**Limitations:** No public pricing or self-serve plans published on the website; Aimed at developers and teams already using agent CLIs, so there is a setup learning curve; As an early-stage lab project, some tools may still be evolving quickly

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

## Frequently Asked Questions

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

Activepieces has 258,553 monthly visits, while Manaflow 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%; Manaflow 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. Manaflow: Open Source / Contact for Pricing. No public pricing is published. The site has no self-serve plans and /pricing returns a 404, so licensing or commercial engagement is presumably arranged directly with the Manaflow team. The core tooling is described as open source and is distributed via GitHub.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Google Antigravity](https://openaitools.app/tool/google-antigravity) | 16,054,109 | +8.1% | Freemium | Google's agent-first development platform for building and shipping software with AI agents | [.md](https://openaitools.app/tool/google-antigravity.md) |
| 2 | [Zapier](https://openaitools.app/tool/zapier-com) | 5,065,248 | +0.4% | Freemium, Free Trial, Paid | Massive prebuilt app ecosystem and polished UX, but significantly more expensive and proprietary. | [.md](https://openaitools.app/tool/zapier-com.md) |
| 3 | [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) |
| 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 | [Orca](https://openaitools.app/tool/orca) | 1,025,891 | +1% | Free, Open Source, Enterprise on request | Run many coding agents in parallel, each in its own worktree | [.md](https://openaitools.app/tool/orca.md) |
| 6 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) |
| 7 | [Eigent AI](https://openaitools.app/tool/eigent-ai) | 575,703 | +1.4% | Freemium, Free Trial, Contact for Pricing | Open-source desktop AI workforce that runs browser, file, and app tasks for you | [.md](https://openaitools.app/tool/eigent-ai.md) |
| 8 | [Multica](https://openaitools.app/tool/multica) | 449,583 | -1.2% | Free Trial | Project management that turns coding agents into real teammates | [.md](https://openaitools.app/tool/multica.md) |
| 9 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excellent browser and web scraping automation features for AI agents, but fewer standard enterprise app integrations. | [.md](https://openaitools.app/tool/gumloop.md) |
| 10 | [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) |

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

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