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Back to panniantong/agent-reach

Open-source alternatives to Agent Reach

30 open-source projects similar to panniantong/agent-reach, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Agent Reach alternative.

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    Instaloader is a Python library and command-line utility designed for the automated retrieval, archiving, and analysis of Instagram content. It provides a programmatic interface to fetch media, captions, and metadata from public or private profiles, hashtags, and stories, while maintaining persistent user sessions for authorized access. The tool distinguishes itself through robust archive management and traffic control mechanisms. It supports incremental synchronization, allowing users to resume interrupted downloads and update local collections without redundant requests. To ensure reliable

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    This project is a research-oriented repository that serves as a centralized database for system-level prompts and internal behavioral instructions extracted from various large language models. Its primary purpose is to provide a transparent, accessible reference for researchers and developers to study how artificial intelligence models are configured, constrained, and governed. The repository distinguishes itself by cataloging the hidden directives and operational guidelines that define model personas and safety boundaries. By archiving these instruction sets, it enables comparative analysis

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  • qeeqbox/social-analyzerالصورة الرمزية لـ qeeqbox

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    Social-analyzer is an open-source intelligence framework designed for the automated discovery, correlation, and verification of digital identities across online platforms. It functions as a comprehensive engine for gathering social media intelligence, utilizing distributed browser automation to extract metadata and profile information from hundreds of websites simultaneously. The platform distinguishes itself through its ability to perform cross-platform identity correlation using heuristic-based pattern matching and name permutation generation. It processes these findings through a confidenc

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    FastMCP is a Python framework designed for building servers that expose functions, resources, and prompts to AI models using the Model Context Protocol. It simplifies the development process by automatically deriving tool metadata, input schemas, and documentation directly from Python function signatures and type hints. The framework provides a unified container for managing these components, allowing developers to build modular applications that integrate seamlessly with AI assistants. The project distinguishes itself through its support for interactive, server-defined user interface compone

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    pipet is a command-line tool that turns web scraping into a piped data flow through Unix filters. It provides a set of specialized scrapers — for CSS selector extraction, headless browser JavaScript rendering, JSON API querying, and change monitoring — each outputting structured data that can be transformed by chaining additional commands. The tool uses declarative selectors (CSS and JSON path expressions) to define what to extract, automatically follows pagination links to collect data across multiple pages, and serializes results into JSON, custom-delimited text, or rendered templates. It c

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