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SlashDocs by Razorpay

SlashDocs by Razorpay

Self-hosted collaboration layer for agent-written HTML

65upvotes
Launched October 14, 2026
Visit WebsiteView on Product HuntLaunch Package

About SlashDocs by Razorpay

SlashDocs by Razorpay is an innovative, self-hosted collaboration platform designed specifically for AI agents to publish and interact with live HTML documents. Unlike traditional documentation tools that rely on static text or scattered feedback channels, SlashDocs enables teams to comment directly on interactive, real-time HTML files. This seamless integration fosters more efficient collaboration, with agents reading feedback and updating documents in place, eliminating the need for multiple file versions or dispersed communication via email or chat. Its open-source nature and agent-agnostic architecture make it highly adaptable, working smoothly over MCP with any AI agent. Currently powering about half of all documents created within Razorpay, SlashDocs is ideal for teams seeking a centralized, interactive, and scalable documentation environment tailored for AI-driven workflows.

Screenshots

SlashDocs by Razorpay screenshot 1
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Pros

  • ✓Open-source and self-hosted for maximum control and customization
  • ✓Supports real-time, interactive HTML documents for dynamic collaboration
  • ✓Agent-agnostic architecture allows integration with various AI agents
  • ✓Eliminates feedback scattering by enabling comments directly on live documents
  • ✓Already adopted at scale within Razorpay, demonstrating reliability

Cons

  • ✗Requires self-hosting, which may involve setup and maintenance effort
  • ✗Limited information on pricing and hosting costs
  • ✗Potential learning curve for teams unfamiliar with open-source or self-hosted solutions

Use Cases

1Collaborative editing and review of AI-generated HTML documents
2Real-time feedback and iteration on interactive product prototypes
3Internal documentation for AI workflows and processes
4Team collaboration on complex HTML-based reports or dashboards
5Version-controlled documentation updates in AI-driven projects
6Integrating feedback loops directly into live AI agent outputs

Pricing

Pricing not verified

Quick Info

Category⚡ Productivity
Upvotes65
Comments1
Launched10/14/2026

Topics

ProductivityOpen SourceArtificial IntelligenceGitHub

Makers

B S Anurag Rao

B S Anurag Rao

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