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What is Sourcey?

Sourcey integrates an open-source documentation platform with a public data service aimed at facilitating software research. This documentation engine adeptly converts various source formats, including OpenAPI, MCP, Doxygen, Go, Rust, and Markdown, into static websites that are not only searchable but also customizable and self-hostable. Development teams can choose to build their projects either locally or within continuous integration settings, allowing them to generate static HTML files equipped with search indexes, llms.txt, and references pertinent to APIs or MCPs. On top of this, Sourcey’s public service provides source-backed startup proposals alongside Agent Readiness scorecards, which encompass dated evidence, unresolved issues, and detailed release histories. Users have the convenience of exploring these records directly on the platform or retrieving them via JSON, a REST API, and MCP. The documentation engine is offered at no cost under the AGPL-3.0 license, ensuring the public can also freely access the research materials. This blend of resources not only offers a well-rounded solution for developers and researchers but also encourages collaboration and sparks innovation throughout the software development landscape. The availability of such comprehensive tools enhances the overall productivity and creativity in the tech community.

What is scribe?

Scribe functions as an automated knowledge base on a self-hosted platform, leveraging your tools for content creation. It meticulously analyzes Git history, Claude Code and Codex sessions, as well as self-sent URLs and drop files, converting this data into a well-structured, cross-project wiki formatted in Markdown and preserved within Git repositories. By alleviating the necessity for developers to maintain an extra cognitive framework or to reconstruct context at the start of each agent session, Scribe adeptly captures essential decisions, solutions, assessments, and the reasoning behind them, allowing agents to access this accumulated knowledge before taking any actions. Its operational pipeline is orchestrated through cron jobs, which enables it to recognize projects and filter out low-value data using FTS5 before interacting with an LLM, thereby extracting validated facts through structured bounded workflows executed in two stages. The resulting output is organized into entity-centric pages that include YAML frontmatter, wikilinks, backlinks, retrieval context, and a variety of relationship types, such as supersedes, contradicts, derived_from, specializes, and extends, which ensures thorough documentation and clarity across various projects. This organized methodology not only fosters enhanced collaboration and knowledge sharing among teams but also streamlines the entire development process, ultimately leading to more efficient project management. As a result, teams can work more cohesively, drawing on a shared pool of insights and decisions that improve overall productivity.

Media

Media

Integrations Supported

Model Context Protocol (MCP)
Amazon S3
GitHub Actions
GitHub Pages
Vercel

Integrations Supported

Model Context Protocol (MCP)
Anthropic
Claude Code
Claude for Legal
Forgejo
Gemma 3
Git
Gitea
Groq
Markdown
Notion
Obsidian
Ollama
OpenAI
Together AI
YAML

API Availability

Has API

API Availability

Has API

Pricing Information

$0
The documentation engine is free under the AGPL-3.0 license, and public research records are free to read. Hosting generated documentation sites may require separate infrastructure.
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Mac
On-Prem
Linux

Supported Platforms

Windows
Mac

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Sourcey

Company Location

Australia

Company Website

sourcey.com

Company Facts

Organization Name

scribe

Company Location

United States

Company Website

getscribe.dev/

Categories and Features

API Documentation

Not specified

Categories and Features

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