# Dust vs Grapevine

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Grapevine records 0 monthly visits with 0% growth and Free pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Grapevine](https://openaitools.app/tool/grapevine) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://getgrapevine.ai |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI Agent, AI Knowledge Management, AI Assistant, AI Search Engine |
| Pricing Model | Contact for Pricing | Free |
| Monthly Visits | 547,217 | 0 |
| MoM Growth Rate | +1.8% | 0% |
| Primary Market | France | Global |
| Direct Visits | 456,919 | 0 |
| Review Score | 4.4 | 4.4 |
| Saved Count | 5 | 0 |
| Supported Platforms | Website | Website |

## 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)

## Grapevine

Grapevine is a knowledge aggregation platform designed for teams that want their scattered company knowledge to be usable by AI. Instead of leaving documents, tickets and messages locked inside dozens of separate SaaS tools, Grapevine pulls them together: it connects to sources like Slack, Notion, Linear, GitHub, Google Drive, HubSpot and Salesforce, then extracts, processes and embeds that content into one unified semantic search index. Because the connectors normalize everything into documents and chunks, a single query can surface relevant answers regardless of which tool originally held the information.

The standout capability is its MCP (Model Context Protocol) server, which lets AI assistants such as Claude search and retrieve the company's knowledge directly. It ships with search tools (semantic_search, keyword_search), document retrieval tools (get_document, get_document_metadata) and an agent tool (ask) that performs AI-powered question answering over the knowledge store. An optional Slack bot brings the same question answering into team channels.

The project is offered as open source under the MIT license and is built to be self-hosted. It runs on Docker and Docker Compose with PostgreSQL 15+ (pgvector), OpenSearch 2.x, Redis and an OpenAI API key for embeddings, and it provides an admin UI plus Kubernetes/kustomize deployment manifests. Because the current public domain redirects to the project's GitHub repository, users should treat Grapevine as a developer-oriented, self-hosted solution rather than a managed SaaS subscription.

**Pricing & Plans:** Grapevine is distributed as open-source software under the MIT license, so there is no license fee. You pay only for the infrastructure it runs on (such as PostgreSQL, OpenSearch, Redis hosting) and for the OpenAI API key used to generate embeddings.

- **Unified knowledge index:** Connects to Slack, Notion, Linear, GitHub, Google Drive, HubSpot, Salesforce and more, then extracts, processes and embeds everything into one searchable index.
- **MCP server for AI assistants:** Exposes search, document retrieval and question-answering tools over the Model Context Protocol so assistants like Claude can query company knowledge directly.
- **Semantic and keyword search:** Combines AI embedding-based semantic search with keyword search so users find the right document whether they search by meaning or by exact term.
- **Optional Slack bot:** Adds AI-powered question answering directly inside Slack so answers appear where teams already work.
- **Self-hostable with Docker and Kubernetes:** Ships with Docker Compose, Tilt for local development, and kustomize manifests for production Kubernetes deployments, giving teams full control over data.

**Strengths:** Open source under the MIT license, so there is no vendor lock-in and no per-seat license fee; Broad connector coverage spanning chat, docs, project management, code and CRM tools; Native MCP server makes it straightforward to ground AI assistants in company data; Self-hosted architecture keeps sensitive internal knowledge inside your own infrastructure

**Limitations:** Self-hosting requires real infrastructure knowledge (PostgreSQL, OpenSearch, Redis, Docker, Kubernetes); Still needs an external OpenAI API key and cloud services for embeddings and search, so it is not fully dependency-free; Commercial managed/marketing experience has wound down, so newcomers rely on repository documentation

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while Grapevine has 0. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dust has a month-over-month growth rate of +1.8%; Grapevine has 0%.

### How does pricing compare?

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. Grapevine: Free. Grapevine is distributed as open-source software under the MIT license, so there is no license fee. You pay only for the infrastructure it runs on (such as PostgreSQL, OpenSearch, Redis hosting) and for the OpenAI API key used to generate embeddings.

## 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 | The AI workspace where teams and agents get work done together | [.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 | Enterprise AI grounded in your company's own knowledge | [.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 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant that runs on your own machine and works from chat apps | [.md](https://openaitools.app/tool/clawdbot.md) |
| 6 | [CollegeVine](https://openaitools.app/tool/collegevine) | 1,182,494 | +25.9% | Contact for Pricing | An AI operating system that models your whole university on one platform | [.md](https://openaitools.app/tool/collegevine.md) |
| 7 | [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) |
| 8 | [Helpjuice](https://openaitools.app/tool/helpjuice) | 585,623 | +17.3% | Free Trial, Contact for Pricing | AI-powered knowledge base that turns documents into fast answers | [.md](https://openaitools.app/tool/helpjuice.md) |
| 9 | [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) |
| 10 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Turn any document into AI-ready context with agentic parsing and extraction | [.md](https://openaitools.app/tool/llamaindex.md) |

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

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