# CopilotKit vs Dust

CopilotKit records 403,148 monthly visits with +199.4% month-over-month growth and Freemium pricing. Dust records 547,217 monthly visits with +1.8% growth and Contact for Pricing pricing.

| Metric | [CopilotKit](https://openaitools.app/tool/copilotkit) | [Dust](https://openaitools.app/tool/dust) |
| :--- | :--- | :--- |
| Website URL | https://www.copilotkit.ai | https://dust.tt |
| Categories | AI Copilot, AI Agent, AI Chatbot, AI Developer Tools | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 403,148 | 547,217 |
| MoM Growth Rate | +199.4% | +1.8% |
| Primary Market | United States | France |
| Direct Visits | 179,258 | 456,919 |
| Review Score | 4.6 | 4.4 |
| Saved Count | 1 | 5 |
| Supported Platforms | Website | Website |

## CopilotKit

CopilotKit has grown from a simple React component library into what its team calls an enterprise-ready frontend stack for agents. The core idea is unchanged: instead of sending users to a third-party chat window, you drop agent experiences straight into your own interface so the assistant can read live application state, render real charts, forms, or tables with your own components, and trigger actions through your APIs and MCP tools.

The platform is organized around three layers. The first is a component and SDK layer covering React, Angular, Vue, and native mobile targets, offering pre-built chat UIs as well as fully headless primitives for teams that want complete visual control. The second is a protocol layer centered on AG-UI, an open, bi-directional connection between a user-facing app and any agentic backend, with connectors for frameworks such as the OpenAI Agents SDK, Claude Agent SDK, LangChain, Google ADK, AWS Strands, and Mastra. The third is an intelligence layer that captures in-app and in-chat interactions, lets you define learning containers per user, group, or organization, and pushes improvements back into agent skills so quality rises with usage.

Beyond the developer toolkit, CopilotKit ships channels such as Slack, Teams, and WhatsApp, template starting points for use cases like company knowledge bases and customer support, and deployment options ranging from self-hosted installs to Copilot Cloud. Its adoption among large enterprises and a large open-source community make it one of the more established options for teams that need agents embedded in the product rather than bolted on beside it.

**Pricing & Plans:** CopilotKit offers a free open-source tier and a free getting-started path for developers, plus paid cloud and enterprise plans, including self-hosting options. Exact plan prices are listed on the official pricing page.

- **Pre-built and headless UI components:** Ship a working copilot UI in minutes with drop-in components for React, Angular, Vue, iOS, and Android, or go fully headless for total control over rendering.
- **AG-UI protocol and framework connectors:** A general-purpose bi-directional link between your app and any agent backend, with integrations for the OpenAI Agents SDK, Claude Agent SDK, LangChain, Google ADK, AWS Strands, Mastra, and many more.
- **Generative UI inside your product:** Agents return real UI — charts, forms, tables, and approval prompts rendered with your own design system on the same screen the user is already working in.
- **Shared state, frontend tools, and HITL approvals:** Let agents read and write application state, call your frontend functions, and pause for human approval before sensitive actions are executed.
- **Self-learning intelligence and observability:** Captured interactions feed learning containers at the user, group, or organization level, while product analytics show where agents succeed and where users struggle.
- **Multi-channel deployment:** Deploy the same agent stack to your web app, Slack, Teams, WhatsApp, iOS, and Android with consistent behavior and audit trails.

**Strengths:** Open source with a large developer community and active framework coverage; Works with many agent backends through the open AG-UI protocol, avoiding vendor lock-in; Genuinely rich frontend capabilities: generative UI, shared state, frontend tools, and human-in-the-loop approvals; Self-hosting and on-premise options plus enterprise certifications for regulated teams

**Limitations:** Aimed at developers, so non-technical users cannot build with it out of the box; The breadth of SDKs, protocols, and cloud products means a real learning curve; Advanced enterprise features and managed cloud come at a cost, and pricing is quote-based

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

## Dust

Dust positions itself as 'multiplayer AI' for human-agent collaboration. Rather than giving each employee a private chatbot, it lets teams build agents that have shared access to company knowledge, connected tools, conversations and notifications, so work can move back and forth between people and AI. Agents can be reused across departments, and human review stays part of the loop where it matters.

The platform's differentiator is context. According to Dust, most AI tools can retrieve a single Slack message or CRM record, whereas its agents pull context together across Slack, CRM, documents and other company systems to answer with the full picture and then act on it. Over 70 connectors cover messaging, calendars, CRM, file storage, project management, data and finance tools, and agents can reach MCP servers through the same gateway.

Governance is a first-class feature. Dust offers a dual-layer permission model that separates what agents can access from who can use them, SCIM-synced groups, admin-gated overrides, audit logs and analytics for monitoring adoption, usage, cost and ROI. It is SOC 2 Type II certified, offers US or EU data residency and supports single-tenant deployment. Teams can build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google, Mistral and others, choosing the right model per workflow. The company says more than 3,000 organizations and 300,000+ agents run on the platform.

**Pricing & Plans:** Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures.

- **Agents with company context:** Connect 70+ tools including Slack, Notion, Google Drive, GitHub, Salesforce and Zendesk so agents answer with real company knowledge instead of generic guesses.
- **70+ connectors and MCP support:** Reach messaging, CRM, docs, project management, data, finance and MCP servers through one platform, so agents can act across systems rather than just chat.
- **Model flexibility:** Build agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google and Mistral, and pick the best model for each task.
- **AI-native governance:** A dual-layer permission model, SCIM-synced groups, admin-gated overrides, audit logs and usage analytics keep company data locked down while teams move fast.
- **Multiplayer collaboration:** People and agents share context, tools and notifications, so cross-functional workflows run with reusable skills and human review built in.

**Strengths:** Deep context gathering across 70+ enterprise connectors; Strong enterprise governance with permissions, audit logs and SOC 2 Type II; Model-agnostic: choose among 20+ frontier and open-source models; Shared, reusable agents that scale across departments

**Limitations:** Pricing is sales-led, so costs are hard to estimate before a demo; Setting up connectors and permissions takes real admin work; Best value comes with broad rollout, which is a heavier commitment for small teams

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

## Frequently Asked Questions

### How do CopilotKit and Dust compare in monthly traffic?

CopilotKit has 403,148 monthly visits, while Dust has 547,217. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

CopilotKit has a month-over-month growth rate of +199.4%; Dust has +1.8%.

### How does pricing compare?

CopilotKit: Freemium. CopilotKit offers a free open-source tier and a free getting-started path for developers, plus paid cloud and enterprise plans, including self-hosting options. Exact plan prices are listed on the official pricing page. Dust: Contact for Pricing. Contact for pricing. Dust offers a free trial after signup, but its plans are oriented toward teams and enterprises with usage-based credits, volume pricing and dedicated support; you need to talk to sales for exact figures.

## 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 | Provides a unified connected workspace for team documents and databases, but lacks Dust's advanced multi-source enterprise knowledge indexing. | [.md](https://openaitools.app/tool/t.md) |
| 2 | [Salesforce Agentforce (formerly Einstein)](https://openaitools.app/tool/salesforce-einstein) | 111,910,743 | +2.2% | Freemium | Integrates deeply with CRM ecosystems to automate enterprise workflows, but is tightly bound to the Salesforce software suite. | [.md](https://openaitools.app/tool/salesforce-einstein.md) |
| 3 | [Glean](https://openaitools.app/tool/glean) | 3,301,875 | +0.1% | Contact for Pricing | Offers robust enterprise-wide permission-aware search and knowledge management, but with less focus on custom multi-model agent workflows. | [.md](https://openaitools.app/tool/glean.md) |
| 4 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | Combines multi-model chat assistants and automated machine learning optimization, but with a heavier focus on data science pipelines. | [.md](https://openaitools.app/tool/abacus-ai.md) |
| 5 | [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) |
| 6 | [Gumloop](https://openaitools.app/tool/gumloop) | 379,557 | -21.1% | Freemium, Paid, Contact for Pricing | Excels at visual no-code web scraping and data automation pipelines, but lacks Dust's dedicated internal knowledge base architecture. | [.md](https://openaitools.app/tool/gumloop.md) |
| 7 | [Tines](https://openaitools.app/tool/tines) | 273,260 | +24.4% | Freemium, Contact for Pricing | Focuses on secure enterprise workflow automation and security orchestration, but requires more manual setup for custom AI agents. | [.md](https://openaitools.app/tool/tines.md) |
| 8 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | Combines conversational workflow drafting with visual flow builders, focusing on workflow automation rather than frontend copilot embedding. | [.md](https://openaitools.app/tool/activepieces.md) |
| 9 | [CodeGPT](https://openaitools.app/tool/code-gpt) | 170,064 | -19% | Freemium, Paid, Contact for Pricing | IDE extension providing model-agnostic AI coding assistance rather than a frontend UI component library for web applications. | [.md](https://openaitools.app/tool/code-gpt.md) |
| 10 | [Kore.ai](https://openaitools.app/tool/kore-ai) | 143,328 | -18.2% | Contact for Pricing | Delivers enterprise-grade conversational AI and workflow automation, but focuses more heavily on customer service and enterprise contact centers. | [.md](https://openaitools.app/tool/kore-ai.md) |

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Source: https://openaitools.app/compare/copilotkit-vs-dust

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