# Agenta vs Clawdbot (OpenClaw)

Agenta records 45,760 monthly visits with +29.5% month-over-month growth and Freemium pricing. Clawdbot (OpenClaw) records 1,903,068 monthly visits with -25.4% growth and Paid, Free pricing.

| Metric | [Agenta](https://openaitools.app/tool/agenta) | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) |
| :--- | :--- | :--- |
| Website URL | https://www.agenta.ai | https://openclaw.ai |
| Categories | AI Developer Tools, Prompt Engineering, Large Language Models (LLMs), AI Agent | AI Assistant, AI Agent, Open Source AI Models, AI Productivity Tools |
| Pricing Model | Freemium | Paid, Free |
| Monthly Visits | 45,760 | 1,903,068 |
| MoM Growth Rate | +29.5% | -25.4% |
| Primary Market | United States | United States |
| Direct Visits | 17,206 | 596,354 |
| Review Score | 4.4 | 4.6 |
| Saved Count | 0 | 2 |
| Supported Platforms | Website | Website |

## Agenta

Agenta positions itself as an open-source workspace where teams build AI agents and AI co-workers rather than one-off prompts. You can start from pre-built agent templates, give an agent access to models and tools, and run it from a chat surface, Slack or Telegram so the work happens where your team already communicates. Agents can browse, read and write files, and run scheduled automations that trigger from your connected systems.

What sets Agenta apart is its focus on operational control. Agents connect to more than a thousand integrations and MCP servers, secrets live in a vault the agent can use but not read, and permissions and approval steps decide which actions run automatically and which need a human sign-off. Every run is logged with duration, token usage and cost, so you can trace why an agent produced a certain result and iterate on it with feedback.

For engineering teams, Agenta ships as MIT-licensed software you can self-host with Docker Compose or Helm, keeping agents and data on your own infrastructure with no vendor lock-in. A managed cloud option is available for teams that prefer not to run the stack themselves, and both share the same workspace concepts of agents, skills, sessions and automations.

**Pricing & Plans:** Freemium. The open-source edition is MIT-licensed and free to self-host; cloud access is offered alongside it, with a demo available for larger teams. Exact seat and usage limits are listed on the pricing page.

- **Agent and co-worker builder:** Assemble agents from templates or from scratch, give them models, skills and tools, and run them from a chat UI, Slack or Telegram.
- **MCP connections and 1,000+ integrations:** Wire agents into Notion, GitHub, HubSpot, Slack, Linear, Drive and more over MCP, and swap tools or skills without rewriting the agent.
- **Evaluations and run observability:** Score agent outputs, collect feedback and inspect every run with duration, token usage and cost logging so improvements are measurable.
- **Guardrails, approvals and a secret vault:** Decide which actions run unattended and which require approval, while credentials stay in a vault your agent can use but cannot read.
- **Self-hosting with MIT license:** Deploy the full workspace on your own infrastructure with Docker Compose or Helm charts and keep agents and data on-premises.

**Strengths:** Open-source and MIT-licensed, so it can be self-hosted without vendor lock-in; Connects to over a thousand tools and MCP servers instead of a fixed integration list; Built-in evaluation and full run logging with token and cost tracking; Approval gates and a secret vault keep agents within human control

**Limitations:** The workspace concept is broad, so new users need time to map it to their workflow; Self-hosting requires someone comfortable running containers and Helm charts; Some enterprise features are only fully explained after contacting sales

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

## Clawdbot (OpenClaw)

OpenClaw is a self-hosted personal AI assistant that turns a chat app into a command line for your digital life. Instead of a web dashboard you log into, the agent lives where you already talk to people: WhatsApp, Telegram, or another messaging client. From there it can organize an inbox, send email, manage a calendar, check you in for flights, and handle routine coordination work. Because it runs on your own hardware, your memories, skills, models, and data stay under your control.

The project began as Clawdbot and went on to become one of the most-starred open-source repositories on GitHub. It ships with desktop apps for macOS, Windows, and Linux plus a one-line installer, so setup is a simple terminal command rather than a lengthy configuration exercise. Everything about it is designed to be hackable: you extend behavior with skills and plugins, swap in your own models, and connect the integrations your workflow needs.

Governance is a deliberate part of the pitch. OpenClaw advertises itself as having no subscription, no hosted tier, and no token, and it is stewarded by an independent 501(c)(3) rather than a single commercial vendor. For teams, it can be run for one person or shared across a group, with the community, documentation, and ecosystem of skills and plugins maintained in the open.

**Pricing & Plans:** OpenClaw is free and open source, with no subscription, no hosted tier, and no token. Costs come only from whatever infrastructure and model/API usage you choose to connect. Enterprise support options exist for organizations that need them.

- **Runs on your own machine:** Self-hosted by design, so memories, skills, models, and data never leave infrastructure you control.
- **Works inside chat apps:** Operate the assistant from WhatsApp, Telegram, or another client you already use instead of a new dashboard.
- **Real system access:** The agent performs actions such as organizing inboxes, sending email, managing calendars, and handling check-ins.
- **Persistent memory and skills:** Extend capabilities with skills and plugins and keep context that carries across conversations.
- **Cross-platform install:** Desktop apps for macOS, Windows, and Linux plus a one-line installer and npm package.

**Strengths:** Free and open source with no subscription or hosted lock-in; Runs locally, keeping memories, models, and data under your control; Interacts through messaging apps you already use daily; Highly extensible via skills, plugins, and model choice

**Limitations:** Self-hosting means you handle installation, updates, and security hardening; Granting system access carries real risk that users must manage carefully; Setup and maintenance are more technical than a typical hosted assistant

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

## Frequently Asked Questions

### How do Agenta and Clawdbot (OpenClaw) compare in monthly traffic?

Agenta has 45,760 monthly visits, while Clawdbot (OpenClaw) has 1,903,068. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Agenta has a month-over-month growth rate of +29.5%; Clawdbot (OpenClaw) has -25.4%.

### How does pricing compare?

Agenta: Freemium. Freemium. The open-source edition is MIT-licensed and free to self-host; cloud access is offered alongside it, with a demo available for larger teams. Exact seat and usage limits are listed on the pricing page. Clawdbot (OpenClaw): Paid, Free. OpenClaw is free and open source, with no subscription, no hosted tier, and no token. Costs come only from whatever infrastructure and model/API usage you choose to connect. Enterprise support options exist for organizations that need them.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | Cloud-based autonomous agent platform executing multi-step goals, but lacks self-hosted local deployment. | [.md](https://openaitools.app/tool/manus.md) |
| 2 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Self-hosted AI workspace for local and cloud models | [.md](https://openaitools.app/tool/open-webui.md) |
| 6 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Put always-on AI agents on your team chat | [.md](https://openaitools.app/tool/lobehub.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 designed for executing complex browser, file, and terminal tasks. | [.md](https://openaitools.app/tool/eigent-ai.md) |
| 8 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Own your intelligence: a private AI assistant that runs entirely on your machine | [.md](https://openaitools.app/tool/anythingllm.md) |
| 9 | [Jan](https://openaitools.app/tool/jan) | 291,894 | -9.6% | Free | Open-source desktop AI that runs models locally on your own machine | [.md](https://openaitools.app/tool/jan.md) |
| 10 | [Arize AI](https://openaitools.app/tool/arize-com) | 249,028 | +3.2% | Paid, Contact for Pricing | Agent observability, evaluation, and continuous improvement for production AI | [.md](https://openaitools.app/tool/arize-com.md) |

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Source: https://openaitools.app/compare/agenta-vs-clawdbot

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)