For an open source alternative to Sprout Social, the first results are gitroomhq/postiz-app (Postiz is an open-source social media management platform that provides centralized content scheduling, publishing, and analytics across multiple networks with a shared team workspace), yikart/aitoearn (AiToEarn is a social media management platform focused on AI-driven content orchestration, multi-network publishing, and engagement analytics, though it is primarily packaged as a desktop application rather than a self-hostable server) and ericciarla/trendfinder (TrendFinder is an AI-powered trend monitoring and sentiment analysis tool rather than a comprehensive social media management platform for publishing, scheduling, and team collaboration). xpzouying/xiaohongshu-mcp and openaispace/ai-trend-publish round out the shortlist. Compare the match explanations and check the project documentation against your requirements.
We curate open-source GitHub repositories matching “open source alternatives to sprout social”. Results are ranked by relevance to your query — pick filters below to narrow, or refine with AI.
Postiz is an open-source social media management platform designed to centralize the scheduling, publishing, and analysis of content across diverse social networks, community forums, and blogging platforms. It functions as a unified hub where users can coordinate, review, and distribute content through a shared team workspace, while leveraging integrated artificial intelligence to assist in drafting text and generating multimedia assets. The platform distinguishes itself through a modular architecture that utilizes a provider-specific adapter pattern to ensure consistent content distribution
Postiz is an open-source social media management platform that provides centralized content scheduling, publishing, and analytics across multiple networks with a shared team workspace.
AiToEarn is an artificial intelligence-driven social media management platform designed to centralize content orchestration, audience engagement, and performance analytics. It provides a unified workspace where users can generate, optimize, and schedule content across multiple social networks while automating interactions through intelligent language and media models. The platform distinguishes itself by integrating sentiment analysis to categorize audience engagement and identify purchase intent, allowing for personalized automated responses. It utilizes a credit-based accounting system to m
AiToEarn is a social media management platform focused on AI-driven content orchestration, multi-network publishing, and engagement analytics, though it is primarily packaged as a desktop application rather than a self-hostable server.
TrendFinder is an AI-powered trend monitoring tool and sentiment analysis platform. It functions as a social media content aggregator that collects posts and articles from influencers and websites to identify emerging patterns and industry news. The system utilizes large language models to process collected web data and determine the relevance of trending topics. It operates as an automated notification system, delivering contextual alerts and source links to messaging platforms when significant online activity is detected. The platform covers automated market intelligence and real-time tren
TrendFinder is an AI-powered trend monitoring and sentiment analysis tool rather than a comprehensive social media management platform for publishing, scheduling, and team collaboration.
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
This project is a Model Context Protocol server that integrates AI models with a specific social media platform rather than a comprehensive, self-hostable multi-channel management platform with a content calendar and unified inbox.
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
This project focuses primarily on AI-driven content generation and automated article publishing rather than serving as a dedicated social media management platform for scheduling, analytics, and team collaboration.
Chatwoot is a self-hosted, omnichannel customer support platform designed to aggregate messages from diverse social and digital channels into a single, collaborative team inbox. It provides organizations with full data ownership and control over their support infrastructure, ensuring strict logical separation of customer data through multi-tenant architecture. By centralizing communication, the platform enables teams to manage, route, and resolve inquiries within a unified workspace that maintains complete interaction history for every contact. The platform distinguishes itself through an eve
Chatwoot is a customer support and live-chat platform rather than a social media management suite, meaning it lacks post scheduling, content calendars, and social analytics.
This is a tool for searching, downloading, and archiving articles and engagement metadata from WeChat official accounts. It functions as a web-based content scraper and data exporter, allowing for the automated retrieval of social media content and the collection of performance metrics. The project distinguishes itself through a system that captures session credentials and authentication cookies from desktop clients via a local proxy to access private engagement data. It utilizes a concurrent proxy-pool fetching mechanism to download large volumes of content while avoiding rate limits, and it
This repository is a targeted content scraper and exporter for a single platform rather than a comprehensive social media management platform for multi-channel publishing and account control.
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
This project is an AI-driven content automation pipeline with a browser-based social publisher rather than a comprehensive social media management platform with team workflows, a unified inbox, and analytics.
This project is an autonomous marketing workflow engine designed to automate complex business tasks through a modular, skill-based architecture. It utilizes specialized subagents to execute parallel marketing workstreams, leveraging large language model reasoning to synthesize unstructured data into actionable strategic insights. The platform distinguishes itself by coordinating multiple functional units that handle distinct marketing domains, such as competitive intelligence, conversion rate optimization, and website performance auditing. By chaining context-aware prompts, the system transfo
This repository is an AI-driven marketing workflow engine and research orchestrator rather than a dedicated social media management platform for scheduling posts and handling a unified inbox.
Vikunja is a self-hosted task management platform designed for organizing personal and team projects. It provides a centralized system for managing tasks using multiple visualization formats, including Kanban boards, Gantt charts, and tables. The project distinguishes itself through extensive external connectivity, offering a REST API, OpenAPI specifications, and CalDAV synchronization for external calendar integration. It supports sophisticated identity federation via LDAP, OpenID Connect, and Single Sign-On, alongside event-driven automation using webhooks. The platform covers a broad rang
Vikunja is a self-hosted task and project management platform rather than a social media management tool, meaning it lacks the multi-channel publishing, analytics, and social network integrations needed for this use case.
| Repository | Stars | Language | License | Last push |
|---|---|---|---|---|
| gitroomhq/postiz-app | 32.3K | TypeScript | AGPL-3.0 | |
| yikart/aitoearn | 21.3K | TypeScript | MIT | |
| 4K |
| TypeScript |
| MIT |
| xpzouying/xiaohongshu-mcp | 14.2K | Go | — |
| openaispace/ai-trend-publish | 2.8K | TypeScript | mit |
| chatwoot/chatwoot | 32K | Ruby | NOASSERTION |
| wechat-article/wechat-article-exporter | 11.5K | TypeScript | MIT |
| jimliu/baoyu-skills | 21.7K | TypeScript | — |
| zubair-trabzada/ai-marketing-claude | 1.9K | Python | MIT |
| go-vikunja/vikunja | 3.4K | Go | agpl-3.0 |