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Comprehensive API-Publishing Tools for Every Need

Get access to API-Publishing solutions that address multiple requirements. One-stop resources for streamlined workflows.

API-Publishing

  • Goat

    Goat is a Go SDK for building modular AI agents with integrated LLMs, tools management, memory, and publisher components.
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    What is Goat?
    Goat SDK is designed to simplify the creation and orchestration of AI agents in Go. It provides pluggable LLM integrations (OpenAI, Anthropic, Azure, local models), a tool registry for custom actions, and memory stores for stateful conversations. Developers can define chains, representer strategies, and publishers to output interactions via CLI, WebSocket, REST endpoints, or a built-in Web UI. Goat supports streaming responses, customizable logging, and easy error handling. By combining these components, you can develop chatbots, automation workflows, and decision-support systems in Go with minimal boilerplate, while maintaining flexibility to swap or extend providers and tools as needed.
    Goat Core Features
    • Pluggable LLM providers (OpenAI, Anthropic, Azure, etc.)
    • Custom tool registry for external actions
    • Memory stores for stateful conversations
    • Representer strategies for formatting prompts and outputs
    • Publisher adapters for CLI, Web UI, RESTful and WebSocket APIs
    • Streaming response support
    • Customizable logging and error handling

  • Social Media Agents

    CLI tool using GPT to generate, schedule, and publish posts on Twitter, Reddit, Mastodon, and more.
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    What is Social Media Agents?
    Social Media Agents is a command-line framework that connects to the OpenAI API to automate every step of social media management. It uses GPT models to craft captions, suggest hashtags, and format content. Users can schedule posts across multiple platforms—Twitter, Mastodon, Reddit, and more—through built-in scheduling or external cron jobs. The tool supports custom prompt templates, multi-account configurations, detailed logging, and integration into continuous deployment pipelines, making it adaptable for personal projects or enterprise workflows.
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