# Eigent AI vs Qase

Eigent AI records 575,703 monthly visits with +1.4% month-over-month growth and Freemium, Free Trial, Contact for Pricing pricing. Qase records 319,213 monthly visits with -25.5% growth and Freemium, Free Trial, Contact for Pricing, Free pricing.

| Metric | [Eigent AI](https://openaitools.app/tool/eigent-ai) | [Qase](https://openaitools.app/tool/qase) |
| :--- | :--- | :--- |
| Website URL | https://www.eigent.ai | https://qase.io |
| Categories | AI Agent, AI Workflow, AI Productivity Tools, AI Browsers | AI Testing, AI Agent, AI Productivity Tools, AI Developer Tools |
| Pricing Model | Freemium, Free Trial, Contact for Pricing | Freemium, Free Trial, Contact for Pricing, Free |
| Monthly Visits | 575,703 | 319,213 |
| MoM Growth Rate | +1.4% | -25.5% |
| Primary Market | United States | South Korea |
| Direct Visits | 83,414 | 246,413 |
| Review Score | 4.4 | 4.5 |
| 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)

## Qase

Qase is built around a simple premise: development velocity has outrun QA, and the gap shows up as bulging manual test backlogs and scattered results. The platform pulls CI pipeline output, automated test runs, and manual test execution into one system of record, so a single dashboard answers whether a release is actually safe to ship.

The headline AI capability is practical rather than cosmetic. Qase takes existing manual test cases and converts them into runnable automation scripts for frameworks such as Playwright, Cypress, and Selenium, which means the backlog of untested scenarios can shrink instead of compounding every sprint. Alongside that, requirement traceability links what was asked for to what was actually verified, and release readiness views surface pass rates, coverage gaps, blockers, and flaky tests.

Qase connects deeply with the rest of the toolchain — more than 35 integrations spanning Jira, GitHub, Slack, CI/CD pipelines, and test frameworks from Pytest to PHPUnit. More recently the team added Model Context Protocol support so AI agents can work directly with test data, and launched Tiden, a separate product that extends verification beyond the test phase to agent-written code across the development lifecycle. A free tier and trial make it easy to evaluate before committing.

**Pricing & Plans:** Freemium with a free plan and free trial, plus paid tiers for growing teams. Enterprise and high-volume API use is quoted through sales, and the companion Tiden product is priced separately.

- **Unified system of record:** Manual test cases, automated test runs, and CI pipeline results consolidate into one dashboard so there are no blind spots about coverage or pass rates.
- **Qase AI automations:** Paste a manual test case, choose a framework, and Qase generates an automation script for Playwright, Cypress, or Selenium, shrinking the manual backlog instead of growing it.
- **Requirements traceability:** Bidirectional links connect every requirement to its test cases and results, so when something breaks you can trace exactly what was verified.
- **Release readiness reports:** Pass rates, coverage gaps, blockers, and flaky-test history come together in shareable readiness views for confident go/no-go decisions.
- **35+ integrations and MCP:** Bidirectional connectors for Jira, GitHub, Slack, CI/CD pipelines, and major test frameworks, plus Model Context Protocol access for AI agents.

**Strengths:** One unified view of manual, automated, and CI test results; AI conversion of manual cases into Playwright, Cypress, or Selenium scripts; Strong requirement-to-result traceability and readiness reporting; 35+ bidirectional integrations with Jira, GitHub, Slack, and CI/CD tools

**Limitations:** Feature depth means a real ramp-up period for small teams; Advanced enterprise capabilities sit behind sales-negotiated pricing; The new AI conversion and agentic features are still maturing

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

## Frequently Asked Questions

### How do Eigent AI and Qase compare in monthly traffic?

Eigent AI has 575,703 monthly visits, while Qase has 319,213. 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%; Qase has -25.5%.

### 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. Qase: Freemium, Free Trial, Contact for Pricing, Free. Freemium with a free plan and free trial, plus paid tiers for growing teams. Enterprise and high-volume API use is quoted through sales, and the companion Tiden product is priced separately.

## 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 | Executes complex autonomous multi-step goals and browser tasks, but operates as a cloud service rather than open-source desktop software. | [.md](https://openaitools.app/tool/manus.md) |
| 2 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation platform with integrated AI agent nodes, but lacks Eigent's native desktop terminal and file manipulation. | [.md](https://openaitools.app/tool/n8n.md) |
| 3 | [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) |
| 4 | [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) |
| 5 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | Offers an advanced AI-native QA agent for plain-language test authoring, but is less traditional test management-focused. | [.md](https://openaitools.app/tool/kaneai.md) |
| 6 | [Jam](https://openaitools.app/tool/jamgpt) | 570,598 | -6% | Freemium, Paid | Screen recorder that captures bugs with full technical context | [.md](https://openaitools.app/tool/jamgpt.md) |
| 7 | [Taskade](https://openaitools.app/tool/taskade) | 539,714 | -9.4% | Freemium | Generates business apps and automated agents from text prompts, but functions primarily as a collaborative cloud workspace. | [.md](https://openaitools.app/tool/taskade.md) |
| 8 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Visual no-code AI agent builder for web and data workflows, but executes in the cloud rather than local desktop. | [.md](https://openaitools.app/tool/gumloop.md) |
| 9 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | No-code platform for building specialist multi-agent workforces, but lacks local desktop execution capabilities. | [.md](https://openaitools.app/tool/relevance-ai.md) |
| 10 | [Katalon](https://openaitools.app/tool/katalon-studio) | 158,090 | -29.6% | Freemium, Free Trial, Paid, Contact for Pricing | Provides comprehensive test management and execution across web, mobile, and APIs, though with a heavier desktop footprint. | [.md](https://openaitools.app/tool/katalon-studio.md) |

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

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