# Devika AI vs Workik

Devika AI records 0 monthly visits with -100% month-over-month growth and Free pricing. Workik records 167,268 monthly visits with -26.3% growth and Freemium pricing.

| Metric | [Devika AI](https://openaitools.app/tool/devika-ai) | [Workik](https://openaitools.app/tool/workik) |
| :--- | :--- | :--- |
| Website URL | https://devikaai.org | https://workik.com |
| Categories | AI Code Generator, AI Agent, AI Code Assistant, Large Language Models (LLMs) | AI Code Generator, AI Code Assistant, AI Developer Tools, AI Productivity Tools |
| Pricing Model | Free | Freemium |
| Monthly Visits | 0 | 167,268 |
| MoM Growth Rate | -100% | -26.3% |
| Primary Market | Global | United States |
| Direct Visits | 0 | 34,597 |
| Review Score | 4 | 4.2 |
| Saved Count | 2 | 2 |
| Supported Platforms | Website | Website |

## Devika AI

Devika AI is built around the idea of an AI pair programmer that can take a loose, high-level objective and turn it into an executable plan. When you describe what you want, the agent's planning and reasoning engine breaks the goal into smaller steps, decides a sequence, and works through them while tracking its own state in a project view. Because the conversation is project-based, you can open several projects, review generated files, and leave feedback mid-run instead of restarting from scratch.

A defining part of the workflow is research. Devika extracts contextually relevant keywords from your objective, then uses a configured web search backend (Google, Bing, or DuckDuckGo) plus a browser interaction module to gather current information and read pages. That research feeds the code-writing module, so generated snippets and scaffolding are shaped by what the agent actually found rather than by the prompt alone.

Devika AI is not a hosted SaaS product. It runs on your own machine and requires setup: Python, Node.js/Bun, Playwright browsers, and API keys for whichever models you choose. Model support spans Claude 3, GPT-4, Gemini, Mistral, Groq, and local LLMs through Ollama, with an extensible architecture for adding features and integrations. The project itself documents its early, experimental status, so it is best treated as a hands-on open-source tool rather than a polished managed service.

**Pricing & Plans:** Free and open source. The software is released under an open-source license with no subscription for the application itself, but you pay your own model and search API costs, or run local models through Ollama at no per-token charge.

- **Planning and reasoning engine:** Breaks a high-level objective into actionable steps and decides how to tackle each one based on the current state of the task.
- **Web research with keyword extraction:** Pulls the contextually relevant keywords out of your request and searches the web to ground the work in up-to-date information.
- **Multi-provider model support:** Works with Claude 3, GPT-4, Gemini, Mistral, Groq, and local LLMs via Ollama, with API keys managed from the settings page.
- **Browser interaction module:** Navigates real web pages to gather information, which helps with research-heavy tasks and data extraction.
- **Project-based chat interface:** Organizes work by project with dynamic agent state tracking, so you can review generated files and steer the run as it progresses.

**Strengths:** Free and open source, with the code available for inspection and modification; Flexible model choice, including fully local LLMs via Ollama; Visible planning, research, and code stages make the agent's reasoning transparent; Project-based workflow with state tracking keeps long tasks organized

**Limitations:** Self-hosting setup is involved: Python, Node/Bun, Playwright browsers, and API keys; The project describes itself as early and experimental, with some broken or unimplemented features; You pay your own model and search API costs unless you use local models; Output quality varies with the chosen model, and better results generally require stronger paid models

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

## Workik

Workik positions itself as an AI layer over everyday engineering work. Instead of treating code generation as a one-off prompt, it lets you build a persistent project context from repositories (GitHub, GitLab, Bitbucket), database schemas, API definitions, and uploaded files. That context is stored and reused, so AI responses stay aligned with your actual codebase, naming conventions, and data models. Teams can then plan tasks, generate frontend and backend code, debug issues, and prepare tests from a shared workspace.

The platform extends beyond chat-style assistance. Workik offers AI bots for Slack and Discord that answer technical questions using workspace context, automated codebase and database documentation that can regenerate as projects change, visual database modeling with ERD and SQL views, mock data generation, and an application generator that produces downloadable project scaffolding. A VS Code extension brings the same context-aware assistance into the editor, with file indexing performed locally.

Workik targets engineering organizations of varying sizes, from individual developers to enterprise teams needing role-based access, SSO, and on-premises options. The site advertises adoption by large enterprises and universities, and notes SOC 2 Type II certification. For teams that want AI coding help grounded in their own project knowledge rather than isolated prompts, Workik's main value is the continuity and governance around that context.

**Pricing & Plans:** Workik uses a freemium model with a free trial and tiered subscriptions. The free Trial tier includes a small number of AI requests and flow runs plus limited knowledge base files. Paid plans (Starter, Premium, Elite) are billed monthly or annually with roughly 20% off annual billing, and scale AI token allowances, knowledge base capacity, and flow runs. Workik also advertises Tailored, Team, and Custom enterprise options with shared workspaces, role-based permissions, SSO/SCIM, and on-prem or hybrid deployment. Exact prices and token limits change, so check the pricing page for current figures.

- **Persistent project context:** Import code from GitHub, GitLab, or Bitbucket and save project knowledge such as schemas, APIs, and files so AI responses reflect your real codebase via vector search.
- **AI code generation, debugging, and testing:** Generate frontend, backend, and full-stack code, explain existing logic, debug issues, and produce tests directly from a shared AI workspace.
- **Automated codebase and database documentation:** Generate readable documentation from a repository or a specific set of files, and document MySQL, PostgreSQL, MS-SQL, MariaDB, or MongoDB schemas that can be kept up to date.
- **Custom AI bots for Slack and Discord:** Build bots that answer technical questions using your workspace context, test their responses, and deploy them to team channels with minimal setup.
- **Database modeling, query generation, and mock data:** Visualize and edit schemas with ERD, SQL, or form views, generate and explain SQL queries, and create realistic mock data tailored to your tables.

**Strengths:** Stores reusable project context so AI answers reflect your actual codebase, schemas, and APIs; Broad feature set spanning code generation, documentation, databases, bots, workflows, and a VS Code extension; Supports repository integrations and all major databases; Free trial tier and flexible paid tiers, with enterprise options including SSO, RBAC, and on-prem deployment

**Limitations:** Token-based limits mean heavy users may need to upgrade or supply their own API key for advanced models; Feature breadth can feel overwhelming for developers who only want basic code completion; Documentation and help content are largely self-serve, with dedicated support concentrated in higher tiers

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

## Frequently Asked Questions

### How do Devika AI and Workik compare in monthly traffic?

Devika AI has 0 monthly visits, while Workik has 167,268. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Devika AI has a month-over-month growth rate of -100%; Workik has -26.3%.

### How does pricing compare?

Devika AI: Free. Free and open source. The software is released under an open-source license with no subscription for the application itself, but you pay your own model and search API costs, or run local models through Ollama at no per-token charge. Workik: Freemium. Workik uses a freemium model with a free trial and tiered subscriptions. The free Trial tier includes a small number of AI requests and flow runs plus limited knowledge base files. Paid plans (Starter, Premium, Elite) are billed monthly or annually with roughly 20% off annual billing, and scale AI token allowances, knowledge base capacity, and flow runs. Workik also advertises Tailored, Team, and Custom enterprise options with shared workspaces, role-based permissions, SSO/SCIM, and on-prem or hybrid deployment. Exact prices and token limits change, so check the pricing page for current figures.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Anthropic's frontier AI workspace powered by Claude 5.5 for agentic coding, analysis, and nuanced writing. | [.md](https://openaitools.app/tool/claude-2.md) |
| 2 | [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) |
| 3 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 4 | [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) |
| 5 | [Base44](https://openaitools.app/tool/base44) | 14,039,232 | +0.5% | Freemium, Paid, Contact for Pricing | Build working apps, websites, and AI agents by describing them | [.md](https://openaitools.app/tool/base44.md) |
| 6 | [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) |
| 7 | [Cursor](https://openaitools.app/tool/cursor-sh) | 4,790,129 | +6.5% | Freemium | Provides an immersive AI-native code editor experience, but focuses less on high-level database workflow planning. | [.md](https://openaitools.app/tool/cursor-sh.md) |
| 8 | [Kiro](https://openaitools.app/tool/kiro) | 3,330,476 | +4.6% | Freemium | Features structured spec-driven AI development workflows, but requires adopting AWS's specific IDE ecosystem. | [.md](https://openaitools.app/tool/kiro.md) |
| 9 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Delivers fully autonomous software engineering execution across repositories, but is significantly more expensive and less interactive. | [.md](https://openaitools.app/tool/devin.md) |
| 10 | [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) |

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Source: https://openaitools.app/compare/devika-ai-vs-workik

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