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Description

Produce visual documentation that both your customers and team will appreciate at lightning speed. Simply click to capture using our browser extension as you navigate through your workflow, and hit stop when finished; we'll handle the rest. Each document will consistently reflect your brand and stay on point. You can record or incorporate text-to-speech voiceovers, modify steps within your workflow, obscure sensitive data, and include text, annotations, and custom branding, all as effortlessly as editing a presentation. Distributing your guide is a breeze—share it with a single click across any platform. You have the ability to share it internally or externally while managing access permissions. Instantly create a visual article enriched with video, images, and text, which can be integrated into your existing tools like Notion, Zendesk, Salesforce, and more. Provide your customers with a personalized experience through straightforward, step-by-step guides that they can easily watch and follow rather than wading through extensive documentation. Empower your entire team to swiftly produce engaging video-rich guides to effectively showcase your product. This streamlined process not only enhances productivity but also fosters a deeper connection with your audience.

Description

Scribe is an automated knowledge base that operates on a self-hosted platform, utilizing your tools to generate content. It analyzes the Git history, Claude Code and Codex sessions, as well as self-sent URLs and drop files, transforming this information into a well-organized, cross-project wiki formatted in Markdown and stored within Git repositories. By eliminating the need for developers to maintain an additional cognitive framework or to reconstruct context each time an agent session begins anew, Scribe effectively captures critical decisions, fixes, evaluations, and the rationale behind them, enabling agents to reference this accumulated knowledge prior to taking action. Its operational pipeline is scheduled via cron jobs, allowing it to identify projects and sift through low-value data using FTS5 before engaging with an LLM, thus extracting verified facts through structured bounded workflows that run in two passes. The final output is organized into entity-centric pages complete with YAML frontmatter, wikilinks, backlinks, retrieval context, and various typed relationships, including supersedes, contradicts, derived_from, specializes, and extends, ensuring comprehensive documentation and clarity across projects. This systematic approach significantly enhances collaboration and knowledge sharing among teams, streamlining the development process.