# Activepieces vs Okibi

Activepieces records 258,553 monthly visits with +1.5% month-over-month growth and Freemium pricing. Okibi records 0 monthly visits with 0% growth and Freemium pricing.

| Metric | [Activepieces](https://openaitools.app/tool/activepieces) | [Okibi](https://openaitools.app/tool/okibi) |
| :--- | :--- | :--- |
| Website URL | https://www.activepieces.com | https://okibi.ai |
| Categories | AI Workflow, No-Code&Low-Code, AI Code Assistant, AI Agent | AI Agent, AI Assistant, No-Code&Low-Code |
| Pricing Model | Freemium | Freemium |
| 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 | 4.2 |
| Saved Count | 0 | 1 |
| 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)

## Okibi

The premise behind Okibi is that agents are poor customers when the only interfaces available are a sprawling MCP server or a raw API. Too many MCP tools and the agent picks the wrong one; too few and it cannot finish the job; a bare API means the agent writes every call from scratch and sometimes writes it wrong. A CLI sidesteps this because every command is pre-built and behaves predictably, which is why Okibi generates one from your existing product surface instead of asking you to author another integration by hand.

The workflow has four stages. Okibi first researches what your product is used for and reads every comparable tool it can find — competitor CLIs, MCP servers, SDKs. It then designs a candidate command set, scoring each command so you can keep the ones that matter. Build and verify is where it diverges from code generators: each command must emit structured JSON, produce errors that name the fix, and support --dry-run on writes, and each one is executed in its own cloud sandbox before the CLI is scored and released. Shipping produces a real compiled binary with generated documentation, and subsequent product updates are minted into new CLI versions.

Okibi Identity addresses a different bottleneck. Without it, an agent that needs an account has to stop, hand the task back to its user, and wait for a sign-up to complete. With it, the agent creates the account on the user's behalf and keeps working, and every subsequent request carries signed proof of who it is acting for. One Okibi identity works across every Okibi-generated CLI. Access is granted through a revocable, read-only GitHub App installation, and pricing runs from a free single-repo tier to Pro at $150 per month and custom enterprise agreements. The product is published by Computer Agent Labs.

**Pricing & Plans:** Free tier at $0 for one private beta CLI, three builders, five generations per month and 1,000 successful commands. Pro is listed at $150/mo (discounted annually) including one production CLI, then $100/mo per additional CLI, with overage at $2 per extra active agent user and $0.05 per extra command. Enterprise is custom with an annual commitment.

- **CLI generated from your product:** Okibi reads your OpenAPI spec, GraphQL schema, route handlers or repository and drafts a command set that matches what comparable CLIs, MCP servers and SDKs already do — then adds what none of them cover.
- **Sandbox verification, not just compilation:** Every command is executed for real in a cloud sandbox rather than merely compiled, and the whole CLI is scored so you know which commands work before you ship.
- **Agent-ready skill file:** Each CLI ships with a generated SKILL.md file, so an agent that installs your binary already knows how to operate your product without extra prompt engineering.
- **Built-in identity for agent sign-ups:** Okibi Identity lets an agent provision an account for its user and carry short-lived signed proof of who it acts for on every request, removing the sign-up dead end.
- **Continuous regeneration:** When your product changes, Okibi produces the updated compiled binary and documentation, versioning your CLI alongside your releases.

**Strengths:** Generates a working CLI from specs or existing code, so you avoid hand-writing an agent interface; Verification happens by running commands in a cloud sandbox rather than trusting a compile step; Generated SKILL.md means agents can use your product without bespoke prompting; Okibi Identity removes the sign-up interruption that stalls most autonomous agent workflows

**Limitations:** Free plan is limited to one private beta CLI and 1,000 commands per month; Agents still need an installed CLI or terminal access, so non-technical end users are out of scope; Pro pricing scales with authenticated agent users and command volume, which is hard to forecast early; Source access and self-hosting sit behind the Pro and Enterprise tiers

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

## Frequently Asked Questions

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

Activepieces has 258,553 monthly visits, while Okibi 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%; Okibi 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. Okibi: Freemium. Free tier at $0 for one private beta CLI, three builders, five generations per month and 1,000 successful commands. Pro is listed at $150/mo (discounted annually) including one production CLI, then $100/mo per additional CLI, with overage at $2 per extra active agent user and $0.05 per extra command. Enterprise is custom with an annual commitment.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) |
| 2 | [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) |
| 3 | [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) |
| 4 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Powerful open-source workflow automation with robust self-hosting options, but steeper learning curve than Activepieces. | [.md](https://openaitools.app/tool/n8n.md) |
| 5 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.md) |
| 6 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | No-code builder for custom AI agents and workflows | [.md](https://openaitools.app/tool/mindstudio.md) |
| 7 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [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) |

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

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