# DeepWiki by Cognition vs Gitmore

DeepWiki by Cognition records 879,539 monthly visits with -3.1% month-over-month growth and Free pricing. Gitmore records 1,021 monthly visits with -62.4% growth and Freemium pricing.

| Metric | [DeepWiki by Cognition](https://openaitools.app/tool/deepwiki-by-congnition) | [Gitmore](https://openaitools.app/tool/gitmore) |
| :--- | :--- | :--- |
| Website URL | https://deepwiki.com | https://gitmore.io |
| Categories | AI Code Assistant, AI Research Tool, AI GitHub, AI Developer Tools | AI Report Generator, AI GitHub, AI Developer Tools, AI Agent |
| Pricing Model | Free | Freemium |
| Monthly Visits | 879,539 | 1,021 |
| MoM Growth Rate | -3.1% | -62.4% |
| Primary Market | China | United States |
| Direct Visits | 389,957 | 401 |
| Review Score | 4.6 | 4.1 |
| Saved Count | 2 | 0 |
| Supported Platforms | Website | Website |

## DeepWiki by Cognition

DeepWiki by Cognition is a documentation layer for GitHub. Instead of cloning a repository and reading files one at a time, you point DeepWiki at a repo and it builds a wiki-style map of the project: what each module does, how components connect, and which files matter for a given task. The output is laid out like reference documentation, so newcomers can start with the big picture before diving into specific files.

The second half of the product is conversational. Each wiki is backed by a chat interface that answers questions about the code in natural language, with responses grounded in the repository contents. That makes it useful for onboarding onto an unfamiliar open-source project, preparing for a refactor, or sanity-checking how a library handles a particular edge case.

DeepWiki is produced by Cognition, the company behind the Devin AI software engineer, and its home page invites you to "index your code with Devin." Usage of the hosted public-repo index is free, which has made it a popular starting point for developers exploring large open-source codebases.

**Pricing & Plans:** Free. The hosted public-repository index and wiki generation cost nothing to use.

- **Automatic repo-to-wiki generation:** Enter a GitHub repository and DeepWiki generates a structured wiki with architecture, module and dependency explanations.
- **Conversational code Q&A:** Ask natural-language questions about functions, data flow or design choices and get answers linked back to the code they came from.
- **Diagrams and architecture maps:** Summaries paired with Mermaid-based architecture diagrams make it quick to grasp how services and packages relate.
- **Devin integration:** The interface points to Cognition's Devin agent, so you can move from reading about a codebase to working on it.
- **Curated popular repos:** The landing page surfaces widely used repositories such as VS Code, React, LangChain and Linux for immediate exploration.

**Strengths:** Turns large repositories into readable documentation in minutes; Chat answers stay anchored to the real source code instead of general advice; Free access to wikis for popular open-source projects makes evaluation trivial; Helpful for onboarding new contributors or prepping for a refactor

**Limitations:** Indexing brand-new or private repositories is not instant, so very fresh code may not be covered yet; Generated wikis can occasionally gloss over niche internal conventions in complex monorepos; It is tied to the Cognition/Cognition) Devin ecosystem, so roadmap and availability follow that product line

[Profile (Markdown)](https://openaitools.app/tool/deepwiki-by-congnition.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 DeepWiki by Cognition and Gitmore compare in monthly traffic?

DeepWiki by Cognition has 879,539 monthly visits, while Gitmore has 1,021. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

DeepWiki by Cognition has a month-over-month growth rate of -3.1%; Gitmore has -62.4%.

### How does pricing compare?

DeepWiki by Cognition: Free. Free. The hosted public-repository index and wiki generation cost nothing to use. 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 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | Provides deep repository understanding inside an AI code editor rather than serving standalone web documentation wikis. | [.md](https://openaitools.app/tool/cursor.md) |
| 2 | [GitBook](https://openaitools.app/tool/the-new-gitbook) | 557,489 | -4.6% | Freemium | Combines Git sync and AI assistants for knowledge bases, requiring existing documentation rather than auto-generating from code. | [.md](https://openaitools.app/tool/the-new-gitbook.md) |
| 3 | [Workik](https://openaitools.app/tool/workik) | 167,268 | -26.3% | Freemium | Connects codebases to document and test workflows, but operates more as an active engineering assistant than a static wiki generator. | [.md](https://openaitools.app/tool/workik.md) |
| 4 | [Zread](https://openaitools.app/tool/zread) | 143,435 | -18.4% | freemium | Automatically converts GitHub repositories into structured wikis, matching DeepWiki's core documentation workflow without complex setup. | [.md](https://openaitools.app/tool/zread.md) |
| 5 | [Macroscope](https://openaitools.app/tool/macroscope) | 106,170 | +39.6% | Free Trial, Paid, Contact for Pricing | AI code review and status updates that keep every repo on track | [.md](https://openaitools.app/tool/macroscope.md) |
| 6 | [OSS Insight](https://openaitools.app/tool/oss-insight) | 97,152 | -13% | Free | Free real-time analytics for open source projects on GitHub | [.md](https://openaitools.app/tool/oss-insight.md) |
| 7 | [devActivity](https://openaitools.app/tool/devactivity) | 46,541 | +14% | Freemium | GitHub-native analytics for developer experience and team performance | [.md](https://openaitools.app/tool/devactivity.md) |
| 8 | [Repowise](https://openaitools.app/tool/repowise) | 29,455 | +26.3% | Freemium | One living index of your codebase that AI agents and pull requests can actually read | [.md](https://openaitools.app/tool/repowise.md) |
| 9 | [DocuWriter.ai](https://openaitools.app/tool/docuwriter-ai) | 23,235 | +16% | Free Trial, Paid | Generates codebase architecture and API documentation, but focuses more on API specs than interactive wikis. | [.md](https://openaitools.app/tool/docuwriter-ai.md) |
| 10 | [DailyBot](https://openaitools.app/tool/dailybot-com) | 17,842 | +1% | Freemium, Free Trial, Paid, Contact for Pricing | Async standups, AI reports and agent visibility — without another meeting | [.md](https://openaitools.app/tool/dailybot-com.md) |

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Source: https://openaitools.app/compare/deepwiki-by-congnition-vs-gitmore

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