# Eigent AI vs Runner H

Eigent AI records 575,703 monthly visits with +1.4% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Runner H records 45,054 monthly visits with -32.6% growth and Freemium, Paid, Contact for Pricing pricing.

| Metric | [Eigent AI](https://openaitools.app/tool/eigent-ai) | [Runner H](https://openaitools.app/tool/runner-h) |
| :--- | :--- | :--- |
| Website URL | https://www.eigent.ai | https://www.hcompany.ai |
| Categories | AI Agent, AI Workflow, AI Productivity Tools, AI Browsers | AI Agent, AI API, Large Language Models (LLMs) |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Freemium, Paid, Contact for Pricing |
| Monthly Visits | 575,703 | 45,054 |
| MoM Growth Rate | +1.4% | -32.6% |
| Primary Market | United States | France |
| Direct Visits | 83,414 | 21,414 |
| Review Score | 4.4 | 4.2 |
| Saved Count | 0 | 0 |
| Supported Platforms | Website | Website |

## Eigent AI

Eigent positions itself as an open-source "Cowork Desktop" — a multi-agent workforce that lives on your machine rather than a closed cloud SaaS. In a session you give plain-language instructions, and a coordinating agent decomposes the work, dispatches specialist agents (browser, terminal, document, research), and streams a visible trajectory of searches, page reads, extractions, and file writes. Output is produced as real artifacts — Markdown briefs, CSVs, charts, HTML — alongside the reasoning trace, so you can inspect sources and compare revisions before accepting the result.

The product leans heavily on control and deployability. Execution can run locally or be self-hosted on infrastructure your team owns; secret handling and permission decisions stay bound locally. Agents can be paused for approvals on sensitive steps and asked questions even after an interruption, and an "Agent browser" restricts which targets agents may touch. Model selection is flexible: cloud providers, enterprise gateways, local models, and BYOK, switchable without rebuilding a workflow.

Eigent also introduces reusable "Spaces" that package agents, Skills, connectors, and instructions so a team sets up a working environment once and reuses it. Automation can be triggered on a schedule, event, or condition, and remote control lets you check progress through the browser or channels like WhatsApp. The project is developed in the open, with a share of subscription revenue going back to the CAMEL-AI open-source community.

**Pricing & Plans:** Freemium plus paid tiers. The Free plan provides the open-source desktop app with BYOK and local models at $0. The Plus plan is listed at $19.99/month with 2,000 monthly task credits and a 7-day free trial, and Pro at $99.99/month with 10,000 monthly credits and priority support. A Teams plan with central billing and shared libraries is marked coming soon, and Enterprise is custom-quoted with local deployment, security controls, and an agent RL environment. The fully open-source build can also be self-hosted for free.

- **Multi-agent cowork workforce:** A coordinating agent breaks a goal into steps and dispatches specialist browser, terminal, document, and research agents that work in parallel inside a local workspace.
- **Open source and self-hostable:** The desktop app is open source and can run locally or be self-hosted on your own infrastructure with your own keys, so data and secrets stay under your control.
- **Model agnostic, BYOK:** Connect cloud providers, enterprise gateways, or local models and switch between them without rebuilding workflows; use your own API keys or free local models.
- **Traceable results and approvals:** Follow each agent's searches, sources, and file changes, compare versions, then approve, revise, or ask a follow-up before accepting output.
- **Spaces, Skills, and automations:** Package reusable agent setups, Skills, and connectors into Spaces, and trigger work on a schedule, event, or condition with remote progress checks.

**Strengths:** Open source with a free self-hosted path and BYOK, avoiding vendor lock-in; Genuine multi-agent orchestration with visible reasoning and sources; Strong deployment flexibility: local, self-hosted, or enterprise; Reusable Spaces and automations reduce repeated setup work

**Limitations:** Requires some technical comfort to install, configure models, and manage permissions; Paid tiers are credit-metered, so heavy use needs cost monitoring; Some advertised team features are still marked coming soon

[Profile (Markdown)](https://openaitools.app/tool/eigent-ai.md)

## Runner H

Runner H is H Company's agentic platform for automating real work on real systems. The core premise is computer use: instead of stitching together API integrations, the agents interact with software the way a person does, clicking, typing, scrolling and reading screens. That makes it applicable to the large share of enterprise tooling that has no usable API, including desktop applications and internal portals.

The product is delivered three ways. Enterprise customers get forward-deployed engineers who learn their systems and build custom agents on existing infrastructure, backed by SOC 2 Type II, ISO 27001 and GDPR compliance. Builders can use the Agents API, which runs an agent in a cloud-hosted browser or on a desktop with an API, SDK, MCP connector and CLI, plus per-session concurrency limits. Researchers and developers can call the Models API, an OpenAI-compatible endpoint for H Company's multimodal Holo4 models, which are also published as open weights on Hugging Face.

The research underneath is measured on OSWorld, a benchmark for computer-use agents, where H Company reports Holo4 27B at 85.2% and Holo4 35B-A3B at 80.8%. A free Chrome extension, HoloTab, is the quickest way to see the agents in action on everyday browser tasks, and the same models power document OCR and element localization for developers.

**Pricing & Plans:** Freemium with usage-based tiers. The Agents API has a free tier (about 3 concurrent agents, roughly 60 sessions per month), then Builder at $20/month (about 10 concurrent agents, roughly 1,000 sessions) and Startup at $200/month (about 100 concurrent agents, roughly 10,000 sessions), with top-ups billed at model cost plus 20%. Enterprise pricing is custom. The Models API is token-based, and HoloTab, HoloDesktop CLI and open weights are free ways to try the technology.

- **No-integration computer use:** Agents operate browsers, desktop applications and internal systems by clicking, typing and reading the screen, so tools without APIs can still be automated.
- **Three ways to deploy:** Choose on-site enterprise deployment with forward-deployed engineers, the Agents API for builders, or the OpenAI-compatible Models API for custom agent loops.
- **Holo4 multimodal models:** Text, image and document input with computer-use ability, available via API, as self-hosted open weights, and with zero data retention options.
- **HoloTab Chrome extension:** A free browser companion and the fastest way to experience computer-use agents on tasks like summarising pages, drafting replies or preparing for meetings.
- **Enterprise security and compliance:** SOC 2 Type II, ISO 27001 and GDPR alignment, datacenter or residential proxy options, and enterprise controls such as SSO and workflow orchestration.

**Strengths:** Works on existing software without integrations or system rebuilds; Flexible access via enterprise deployment, Agents API or Models API; Open-weight Holo4 models and an OpenAI-compatible endpoint reduce lock-in; Strong enterprise compliance posture with SOC 2 Type II, ISO 27001 and GDPR

**Limitations:** Enterprise deployment requires a sales conversation rather than self-serve signup; Session allowances and concurrency are capped on lower tiers and top-ups carry a 20% margin; Computer-use agents still need supervision on complex or high-stakes workflows

[Profile (Markdown)](https://openaitools.app/tool/runner-h.md)

## Frequently Asked Questions

### How do Eigent AI and Runner H compare in monthly traffic?

Eigent AI has 575,703 monthly visits, while Runner H has 45,054. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Eigent AI has a month-over-month growth rate of +1.4%; Runner H has -32.6%.

### How does pricing compare?

Eigent AI: Freemium, Free Trial, Contact for Pricing. Freemium plus paid tiers. The Free plan provides the open-source desktop app with BYOK and local models at $0. The Plus plan is listed at $19.99/month with 2,000 monthly task credits and a 7-day free trial, and Pro at $99.99/month with 10,000 monthly credits and priority support. A Teams plan with central billing and shared libraries is marked coming soon, and Enterprise is custom-quoted with local deployment, security controls, and an agent RL environment. The fully open-source build can also be self-hosted for free. Runner H: Freemium, Paid, Contact for Pricing. Freemium with usage-based tiers. The Agents API has a free tier (about 3 concurrent agents, roughly 60 sessions per month), then Builder at $20/month (about 10 concurrent agents, roughly 1,000 sessions) and Startup at $200/month (about 100 concurrent agents, roughly 10,000 sessions), with top-ups billed at model cost plus 20%. Enterprise pricing is custom. The Models API is token-based, and HoloTab, HoloDesktop CLI and open weights are free ways to try the technology.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) |
| 2 | [Manus](https://openaitools.app/tool/manus) | 19,195,779 | -1.7% | Free Trial | A general-purpose AI agent that executes tasks, not just answers them | [.md](https://openaitools.app/tool/manus.md) |
| 3 | [Replit](https://openaitools.app/tool/replit) | 10,016,437 | -7.7% | Freemium, Paid | Describe your idea and Replit builds a working app in minutes | [.md](https://openaitools.app/tool/replit.md) |
| 4 | [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) |
| 5 | [Apify](https://openaitools.app/tool/apify) | 4,147,762 | +3.9% | Freemium, Contact for Pricing | Run thousands of ready-made web scrapers and AI agents from one cloud platform | [.md](https://openaitools.app/tool/apify.md) |
| 6 | [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) |
| 7 | [WorkBuddy](https://openaitools.app/tool/workbuddy) | 2,341,262 | +43.9% | Freemium | Desktop AI workspace that turns task briefs into completed office deliverables, but lacks open-source transparency. | [.md](https://openaitools.app/tool/workbuddy.md) |
| 8 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant running locally, but focuses more on messaging integrations than heavy terminal orchestration. | [.md](https://openaitools.app/tool/clawdbot.md) |
| 9 | [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) |
| 10 | [Runable](https://openaitools.app/tool/runable) | 1,048,370 | -1.9% | Freemium | One AI agent to build, run and grow the work | [.md](https://openaitools.app/tool/runable.md) |

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Source: https://openaitools.app/compare/eigent-ai-vs-runner-h

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