11 个仓库
End-to-end systems that integrate LLMs for content generation and automated social media distribution.
Distinct from Automated Content Generators: None of the candidates cover the full pipeline from AI generation to social publishing; they focus either on specific generation tasks or curated lists.
Explore 11 awesome GitHub repositories matching content management & publishing · AI Content Automation Pipelines. Refine with filters or upvote what's useful.
This project is an automation suite comprising an AI visual asset generator, a browser-based social publisher, an Electron resource extractor, and a Markdown content transformer. It functions as a content automation pipeline that uses large language models to generate text and images for distribution across social media platforms. The system distinguishes itself through specialized visual generation capabilities, producing professional infographics, slide decks, educational comics, and SVG diagrams via structured prompts. It also features a dedicated workflow for extracting resources from Ele
Provides an end-to-end pipeline that uses Gemini to generate text and images for automated social media publishing.
This project is a Model Context Protocol server that connects large language models to the Xiaohongshu social media platform. It acts as a connector and API wrapper, enabling language models to programmatically search, read, and publish media and text. The system provides automation for content discovery and publishing, allowing for the creation of image and video posts with associated titles and descriptions. It also facilitates social engagement by managing the posting of comments and tracking engagement metrics for specific entries. The tool covers data retrieval for user profiles, post d
Automates the end-to-end pipeline of publishing image and video posts.
该项目是一个预配置的 n8n 工作流模板和结构蓝图库,专为自动化业务流程和 AI 任务而设计。它提供了一系列 JSON 文件,可以导入到工作流引擎中以部署自动化序列,包括用于集成向量数据库和大型语言模型的专门配置。 该集合专注于上下文感知 AI 代理的开发,利用内存缓冲区和检索系统来创建智能数据生成和检索管线。它包括用于检索增强生成和通过向量存储集成进行语义搜索的专用蓝图。 这些模板涵盖了广泛的功能领域,包括 AI 驱动的数据分析、用于媒体和社交媒体管理的内容管线,以及针对法律、医疗保健、房地产和电子商务等行业的特定行业自动化。它还提供用于财务任务自动化、人力资源招聘解析和基础设施监控的实用工作流。
Provides automation pipelines to generate show notes and analyze script dialogue using language models.
pgai 是一个 PostgreSQL AI 工具包和框架,旨在将大语言模型和向量嵌入直接集成到数据库中。它充当了在标准数据库查询中执行机器学习模型请求和进行文本转 SQL 翻译的桥梁。 该项目提供了一个自动化的向量嵌入流水线,负责处理来自表和非结构化文档的文本加载、解析和分块。该系统利用后台工作进程在源数据发生变化时自动同步嵌入,并包含用于构建检索增强生成(RAG)应用和语义搜索引擎的专用工具。 该工具包涵盖了广泛的功能领域,包括利用 OCR 处理非结构化数据、创建将数据库模式映射到自然语言的语义目录,以及通过向量索引和结果重排序实现高性能相似度搜索。它还支持通过 SQL 调用外部模型,从而实现数据增强、分类和内容审核。
Generates natural language descriptions of database objects to help AI models understand technical schemas.
TagSpaces is an offline-first file tagging and organization platform that lets you manage local files with portable metadata stored directly in filenames or sidecar JSON files, eliminating the need for a central database. It functions as a full-text file search engine, a Kanban board file organizer, a local AI file assistant, an S3-compatible cloud file manager, and a web clipper and bookmark manager, all within a single application. The project distinguishes itself through a local-first architecture where all file operations, indexing, and AI processing run entirely on the device, with cloud
TagSpaces executes configurable AI tasks and queries to generate file descriptions and manage prompt templates.
RedInk is an AI content automation tool designed to generate coordinated social media posts, including titles, body text, and matching visual assets, from a single user-provided topic. It functions as a stateless content pipeline that uses large language models to transform topics into structured marketing copy and image prompts. The system utilizes prompt-template orchestration to combine static instructions with dynamic inputs, guiding artificial intelligence toward specific output formats. Users can manage these AI behaviors and API preferences through a web-based settings interface that t
Provides an end-to-end automation framework for generating marketing copy and visual assets using LLM orchestration.
Aigcpanel is a visual workflow automation tool and model lifecycle manager designed for generative AI media pipelines. It provides a unified interface to install, launch, and configure both local and remote AI model endpoints, acting as an orchestration platform for large language models and AI tools. The system features a drag-and-drop node editor for chaining AI models and scripts into automated processing pipelines. It distinguishes itself with a breakpoint-aware execution model that allows users to pause and resume long media tasks from specific points in the workflow. Additionally, it in
Chains voice synthesis and video alignment models into an automated pipeline for digital human content creation.
OpenSquilla 是一个 LLM 智能体编排框架,旨在利用有向无环图协调多步 AI 工作流和工具执行。它作为一个集中式系统,用于管理专门的技能包并执行复杂的推理序列。 该项目通过一个路由网关脱颖而出,该网关根据复杂性、成本和性能将任务定向到不同的 AI 提供商。它利用多层 AI 记忆系统,通过本地嵌入和 SQLite 组织工作、情景和语义知识,并配有一个安全执行沙盒,通过基于风险的权限配置文件隔离智能体生成的代码。 该平台涵盖了广泛的功能,包括多渠道部署到 Web 和消息平台、通过 cron 进行自动任务调度,以及用于连接外部工具的 Model Context Protocol 网桥。它还提供全面的监控和可观测性工具,用于跟踪 Token 成本、审计运行时决策以及管理可重用技能目录。 该系统包括用于工作区初始化和技能生命周期管理的命令行工具。
Produces structured file outputs such as HTML pages and reports as a result of executed tasks.
DashPlayer is a language learning video player designed for vocabulary and grammar study. It integrates an AI subtitle generator to create machine-translated captions and grammatical sentence analysis for video content. The project features a bilingual subtitle renderer that displays dual-language captions with toggleable visibility. It includes a remote media downloader to fetch online video content via URL and a utility to split long files into smaller segments for more manageable study sessions. The playback system supports sentence-based navigation, allowing users to jump between subtitl
Implements a pipeline to download videos, generate AI subtitles, and split files into study segments.
This project is an AI content automation pipeline and LLM agent orchestration framework. It provides a system for generating research-backed text, images, and videos, and scheduling their distribution to social platforms. The framework allows for the development of specialized AI agents and custom tool servers. These servers expose capabilities such as video editing and story generation as API endpoints, enabling agents to execute complex tasks through a combination of AI models and custom tooling. The system covers automated content creation across text, image, and video media, utilizing hu
Provides an end-to-end pipeline integrating LLMs for content generation and automated social media distribution.
This project is an automated content automation pipeline and AI article generator. It uses large language models to research topics from diverse web sources and academic repositories to generate evidence-based text and accompanying AI imagery for digital publishing. The system features a centralized social media management dashboard used to coordinate posting schedules, tone, and account positioning across multiple platforms. It employs a vector-based deduplicator to identify and remove redundant stories from the pipeline and uses topic clustering to rank content based on relevance. The work
Ships an end-to-end pipeline integrating LLMs for content generation and automated distribution to social media.