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DeepWiki by Congnition
✓ verified
AI documentation generator for GitHub repos with a conversational interface; very high traffic from Cognition.
👁 1.2M/mo
Pricing
Essential: $29 per seat/mo (billed annually) + $0.99 per Fin resolution
Advanced: $85 per seat/mo (billed annually) + $0.99 per Fin resolution
Expert: $132 per seat/mo (billed annually) + $0.99 per Fin resolution
Fin AI Agent (on existing helpdesk): $0.99 per Fin resolution (50 resolutions per month minimum)
Copilot: $29 per agent/mo (billed annually)
Proactive Support Plus: $99 /mo
No public pricing
Free trial available
Free: $0
Pro: $29/mo ($39/mo monthly)
Unlimited: $99/mo ($129/mo monthly)
Essential: $29
Advanced: $85
Expert: $132
Fin AI Agent: $0.99
Copilot: $29
Proactive Support Plus: $99
No public pricing
Core features
- ✦Fin AI Agent for automated customer support
- ✦Omnichannel support (inbox, tickets, phone, help center)
- ✦AI-enhanced inbox for agent productivity
- ✦AI Insights & Reporting for performance optimization
- ✦Workflow automation with a visual builder
- ✦Enhanced Context Engineering for deep codebase analysis and adaptive memory
- ✦Intelligent Agents for autonomous planning, coding, and testing
- ✦Spec-Driven Development for clarifying requirements and automating execution
- ✦Intelligent Codebase Search and Advanced Repository Insight
- ✦Context-aware code completions and next-edit suggestions
- ✦Support for leading AI models (Claude, GPT, Gemini)
- ✦Live chat
- ✦Chatbots
- ✦Multi-channel messaging
- ✦Knowledge base
- ✦Integrations & API
- ✦Help Desk
- ✦AI Chatbot
- ✦Proactive Support
- ✦Omnichannel Platform
- ✦Knowledge Base
- ✦Inbox
- ✦Tickets
- ✦AI Insights & Reporting
- ✦Workflows
- ✦Apps and Integrations
- ✦AI-powered documentation generation
- ✦Conversational interface for interacting with documentation
- ✦Codebase structure understanding
- ✦Up-to-date documentation for GitHub repositories
Use cases
- →Providing instant customer service with Fin AI Agent
- →Managing customer inquiries across multiple channels
- →Automating support workflows to improve efficiency
- →Empowering support agents with AI-powered tools
- →Gaining insights into customer service performance
- →Delegating complex software development tasks to AI agents for autonomous completion.
- →Performing multi-file code edits and refactoring through natural language chat.
- →Gaining deep architectural understanding of a codebase to resolve issues with precision.
- →Generating unit tests, code explanations, and uncovering codebase architecture.
- →Systematically tackling software development tasks from planning to testing.
- →Sales: Increase sales by talking to customers in real-time.
- →Support: Help customers faster and solve their problems quickly.
- →Marketing: Automate lead qualification and collect feedback.
- →Deliver help content to customers
- →Divert repetitive questions with a bot
- →Set up a central place for customers to find answers
- →Create multilingual articles for global customers
- →Resolve issues before they arise using outbound messaging
- →Understanding the structure and functionality of a GitHub repository through interactive documentation.
- →Quickly accessing information about a codebase without having to read through all the code.
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