# Dust vs Gitlights

Dust records 547,217 monthly visits with +1.8% month-over-month growth and Contact for Pricing pricing. Gitlights records 0 monthly visits with -100% growth and Free Trial, Paid pricing.

| Metric | [Dust](https://openaitools.app/tool/dust) | [Gitlights](https://openaitools.app/tool/gitlights) |
| :--- | :--- | :--- |
| Website URL | https://dust.tt | https://gitlights.com |
| Categories | AI Assistant, Large Language Models (LLMs), AI Workflow, AI Knowledge Management | AI GitHub, AI For Data Analytics, AI Developer Tools, AI Code Review |
| Pricing Model | Contact for Pricing | Free Trial, Paid |
| Monthly Visits | 547,217 | 0 |
| MoM Growth Rate | +1.8% | -100% |
| Primary Market | France | Global |
| Direct Visits | 456,919 | 0 |
| Review Score | 4.4 | 4 |
| Saved Count | 5 | 1 |
| 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)

## Gitlights

Gitlights is built around a simple premise: when AI assistants write most of the code, traditional productivity metrics stop telling you anything useful. Volume of commits and lines changed no longer distinguishes a high-impact engineer from a fast typist. Gitlights instead analyzes repository activity across commits, pull requests, reviews and discussion to surface contribution patterns — the decisions made, the reviews given, and the architectural footprint of each person on the team.

Getting started takes minutes. You install the Gitlights application from the GitHub Marketplace, grant access to the repositories you want analyzed, and the platform loads your recent activity automatically (the last seven days on trial) and refreshes it daily. The product presents the results as graphs, tables, a developer radar and a developer map, alongside smart notifications and AI-generated weekly and monthly reviews that summarise what changed. A live demo dashboard built from OpenAI's public GitHub organization is available so you can see the analysis in practice before installing anything.

Gitlights is a commercial SaaS product with a 15-day free trial that includes full access to the Base plan. Paid tiers — Base, Advanced and Enterprise — differ mainly in how many GitHub users can share access, ranging from a single user up to ten seats on Enterprise. A one-time Historical Data Pack lets you backfill up to six months of commits and pull request history, and each purchase extends how far back you can look. Data is retained for one year, and there is no limit on the number of contributors analyzed.

**Pricing & Plans:** 15-day free trial with full Base plan access. Paid tiers: Base at $14.9/month, Advanced at $24.9/month (up to 5 shared GitHub users) and Enterprise at $34.9/month (up to 10 shared users). A one-time Historical Data Pack at $89.9 retrieves up to 6 months of past activity.

- **Contribution Analytics Beyond Lines of Code:** Analyzes commits, pull requests, reviews and discussion to show the decisions and architectural impact behind each developer's work, not just output volume.
- **Developer Radar and Developer Map:** Visual views that compare contributors across dimensions so team leads can spot strengths, gaps and shifts in how each person is contributing.
- **AI Weekly and Monthly Reviews:** Automatically generated summaries of repository and team activity, giving engineering managers a regular narrative they can share or act on.
- **One-Click GitHub Marketplace Install:** Install from the GitHub Marketplace, choose which repositories to analyze, and data loads within minutes with daily automatic updates.
- **Historical Data Pack:** Retrieve up to six months of prior commit and pull request history with a one-time purchase, extendable by buying additional packs.

**Strengths:** Focuses on contribution quality rather than easily gamed output metrics; Installation via GitHub Marketplace takes minutes and data refreshes daily; AI-generated weekly and monthly reviews save managers from manual reporting; Unlimited contributors on every plan, including the free trial

**Limitations:** Requires installing a GitHub app with repository access, which some teams may need to review with security first; Historical data beyond the trial period requires an extra one-time purchase; Analysis is GitHub-centric, so teams using GitLab or Bitbucket are not covered

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

## Frequently Asked Questions

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

Dust has 547,217 monthly visits, while Gitlights 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%; Gitlights has -100%.

### 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. Gitlights: Free Trial, Paid. 15-day free trial with full Base plan access. Paid tiers: Base at $14.9/month, Advanced at $24.9/month (up to 5 shared GitHub users) and Enterprise at $34.9/month (up to 10 shared users). A one-time Historical Data Pack at $89.9 retrieves up to 6 months of past activity.

## 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 | [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) |
| 9 | [Sim AI](https://openaitools.app/tool/sim-ai) | 140,953 | +20.6% | Freemium, Paid (per user/month), and Enterprise with custom pricing; self-hosting free under Apache 2.0 | Open-source workspace to build, deploy and govern AI agents | [.md](https://openaitools.app/tool/sim-ai.md) |
| 10 | [Agno](https://openaitools.app/tool/agno) | 140,302 | -3.3% | Contact for Pricing, Free | Self-driving agent platform you run in your own cloud | [.md](https://openaitools.app/tool/agno.md) |

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

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