# Dify vs Gitmore

Dify records 819,691 monthly visits with -15% month-over-month growth and Freemium pricing. Gitmore records 1,021 monthly visits with -62.4% growth and Freemium pricing.

| Metric | [Dify](https://openaitools.app/tool/dify-ai) | [Gitmore](https://openaitools.app/tool/gitmore) |
| :--- | :--- | :--- |
| Website URL | https://dify.ai | https://gitmore.io |
| Categories | AI App Builder, AI Agent, AI Workflow, AI API | AI Report Generator, AI GitHub, AI Developer Tools, AI Agent |
| Pricing Model | Freemium | Freemium |
| Monthly Visits | 819,691 | 1,021 |
| MoM Growth Rate | -15% | -62.4% |
| Primary Market | China | United States |
| Direct Visits | 470,604 | 401 |
| Review Score | 4.8 | 4.1 |
| Saved Count | 22 | 0 |
| Supported Platforms | Website | Website |

## Dify

Dify pairs a visual canvas with code-level control so both technical and non-technical teams can assemble AI applications and agents. Workflow Studio turns prompt logic into an inspectable execution graph of building blocks: retrieval, branching, tool calls, human-in-the-loop steps, and model calls. Agent builder lets you create agents by chatting or by configuring them directly, then run them as a standalone app, embed them into a website, or reuse them as a node inside a larger workflow.

A major part of the platform is context engineering. The Knowledge Pipeline lets you define repeatable ingestion flows for files, websites, online documents, and cloud drives, handling extraction, cleaning, chunking, indexing, and retrieval testing before a knowledge base is attached to agents or workflows. The Marketplace supplies model providers, tools, data sources, and MCP integrations that teams can install once and then reuse across many apps as approved plugins.

Dify ships in three deployment shapes: Dify Cloud (fully managed SaaS with workspace, logs, and scaling handled for you), Dify Enterprise (self-hosted or VPC deployment with SSO/SAML, RBAC, audit logs, Helm charts for Kubernetes, and enterprise support), and the open-source Community Edition, a source-available single-command Docker deployment with a large GitHub community. Published apps can be delivered as hosted web apps, API endpoints, embeds, or MCP-compatible tools, with logs, feedback, annotations, latency, and usage analytics to keep improving them after launch.

**Pricing & Plans:** Freemium model with a free cloud sandbox and free trial credits, paid Cloud plans that scale with team size, storage, logs, and usage, and a free open-source Community Edition. Dify Enterprise is quoted per deployment via sales.

- **Workflow Studio:** A visual canvas where retrieval, branching, tool calls, human review, and model steps form a visible, testable execution path you can debug and hand off.
- **Agent Builder:** Create agents through chat or manual configuration, give them skills, tools, and knowledge, then ship them as apps, embeds, or reusable nodes inside workflows.
- **Knowledge Pipeline:** Build repeatable ingestion pipelines for documents, sites, and drives, with extraction, cleaning, chunking, indexing, and retrieval testing before you go live.
- **Plugin Marketplace and MCP:** Install model providers, tools, data sources, and MCP integrations once and reuse approved plugins across every app in the workspace.
- **Flexible Deployment and Observability:** Run on managed Cloud, in your VPC, or self-hosted with Docker, and monitor published apps through logs, annotations, feedback, latency, and usage data.

**Strengths:** Combines a visual builder with code-level extensibility in one product; Three deployment options, including a free self-hosted Community Edition; Strong retrieval and knowledge pipeline tooling for RAG applications; Large plugin marketplace plus MCP support reduces integration work

**Limitations:** Self-hosted deployments require real infrastructure and maintenance effort; Complex multi-step workflows take time to learn and tune; Advanced enterprise governance features sit behind a sales-quoted plan

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

## Gitmore

Gitmore connects to your repositories through OAuth or a manual webhook and only reads event metadata such as titles, messages, authors and timestamps — it never reads your source code. From that stream it assembles reports: what merged, who contributed, which pull requests are stalling, and which tasks from Notion, Linear, Jira, Asana, ClickUp or Trello actually shipped. Reports can be delivered on a schedule to Slack or email in 11 languages.

A distinctive feature is the AI agent ledger. Every pull request and commit is attributed to a human or to an agent such as Claude Code, GitHub Copilot, Cursor, Codex, Devin or Jules, using co-authored-by trailers, bot accounts and branch prefixes. Teams can then see AI share of merged work, merge rates per agent, and pull requests generated by agents that are still waiting on a human reviewer.

Beyond reports, Gitmore offers password-protected client portals with your branding, public changelogs and embeddable widgets, proactive alerts for stale or unreviewed pull requests, plus an MCP server and API. Setup takes a couple of minutes, no YAML or configuration files required, and connecting a new repository imports the previous 30 days of activity so the first report is not empty.

**Pricing & Plans:** Freemium with no per-seat pricing. The Free plan is free forever and includes unlimited repositories, unlimited automations and 2 AI credits per month. Pro is $8.99/month with 100 AI credits, a Slack AI agent and priority support; Enterprise is $30/month with 500 AI credits, custom-prompt reports and custom integrations. Annual billing saves roughly 17%. One AI credit equals one chat answer, scheduled report, report preview or client-portal summary.

- **Scheduled AI reports:** Daily, weekly or monthly summaries of merged work and in-flight pull requests, generated by AI and delivered to Slack or email on your schedule and in your timezone.
- **AI agent ledger:** Attributes each commit and pull request to a person or to an agent like Claude Code, Copilot, Cursor or Codex, so you can track AI share, merge rates and agent PRs waiting on review.
- **Client portals and changelogs:** Branded, password-protected update pages written in plain language for clients, investors and executives, plus a public changelog and embeddable widget built from merged work.
- **Planned vs shipped task matching:** Links tasks from Notion, Linear, Jira, Asana, ClickUp and Trello to the pull requests that implement them, flagging work that merged while the task stayed open.
- **Proactive alerts and metadata-only access:** Notifies you about stale PRs, merges without reviewers, AI-share spikes and dormant repositories, while reading only event metadata rather than your source code.

**Strengths:** Setup takes about two minutes with OAuth or a manual webhook, and no configuration files; Reads only event metadata, never source code, and supports self-hosted GitLab; Aggregates GitHub, GitLab and Bitbucket into one consistent reporting view; No per-seat pricing, so reporting cost does not grow with team size

**Limitations:** AI-dependent features are metered by credits, which can run out on busy teams; Some advanced capabilities such as custom-prompt reports are locked to the Enterprise tier; Best value requires adopting Slack or email delivery as part of your workflow

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

## Frequently Asked Questions

### How do Dify and Gitmore compare in monthly traffic?

Dify has 819,691 monthly visits, while Gitmore has 1,021. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

Dify has a month-over-month growth rate of -15%; Gitmore has -62.4%.

### How does pricing compare?

Dify: Freemium. Freemium model with a free cloud sandbox and free trial credits, paid Cloud plans that scale with team size, storage, logs, and usage, and a free open-source Community Edition. Dify Enterprise is quoted per deployment via sales. Gitmore: Freemium. Freemium with no per-seat pricing. The Free plan is free forever and includes unlimited repositories, unlimited automations and 2 AI credits per month. Pro is $8.99/month with 100 AI credits, a Slack AI agent and priority support; Enterprise is $30/month with 500 AI credits, custom-prompt reports and custom integrations. Annual billing saves roughly 17%. One AI credit equals one chat answer, scheduled report, report preview or client-portal summary.

## Alternatives

| # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | An open-source automation powerhouse with deep app connectors, though less specialized for native LLM prompt chaining. | [.md](https://openaitools.app/tool/n8n.md) |
| 2 | [MindStudio](https://openaitools.app/tool/mindstudio) | 1,793,337 | +14.2% | Contact for Pricing | Offers a streamlined no-code builder for deploying custom AI agents, but lacks Dify's open-source flexibility. | [.md](https://openaitools.app/tool/mindstudio.md) |
| 3 | [DeepWiki by Cognition](https://openaitools.app/tool/deepwiki-by-congnition) | 879,539 | -3.1% | Free | AI-generated wikis and chat for any public GitHub repository | [.md](https://openaitools.app/tool/deepwiki-by-congnition.md) |
| 4 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | A self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration. | [.md](https://openaitools.app/tool/open-webui.md) |
| 5 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Provides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases. | [.md](https://openaitools.app/tool/llamaindex.md) |
| 6 | [Activepieces](https://openaitools.app/tool/activepieces) | 258,553 | +1.5% | Freemium | An open-source automation platform combining visual flows with AI steps, though geared more towards general app integration. | [.md](https://openaitools.app/tool/activepieces.md) |
| 7 | [Relevance AI](https://openaitools.app/tool/relevance-ai) | 192,083 | -15.5% | Free Trial, Contact for Pricing | Built for scaling multi-agent workforces and B2B task automation, though less focused on open-source RAG pipelines. | [.md](https://openaitools.app/tool/relevance-ai.md) |
| 8 | [FlowHunt](https://openaitools.app/tool/flowhunt-io) | 186,190 | 0% | Free Trial, Paid | Focuses on visual drag-and-drop orchestration for building chatbots and autonomous agents without writing code. | [.md](https://openaitools.app/tool/flowhunt-io.md) |
| 9 | [Coze](https://openaitools.app/tool/coze) | 177,539 | -33.3% | Freemium | Provides an all-in-one visual workspace for building custom AI agents and publishing them to messaging platforms. | [.md](https://openaitools.app/tool/coze.md) |
| 10 | [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 | An open-source AI workspace providing visual workflow builders for designing and governing agent systems. | [.md](https://openaitools.app/tool/sim-ai.md) |

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Source: https://openaitools.app/compare/dify-ai-vs-gitmore

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