Comprehensive community-getriebenen Entwicklung Tools for Every Need

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community-getriebenen Entwicklung

  • Agent API by HackerGCLASS: a Python RESTful framework for deploying AI agents with custom tools, memory, and workflows.
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    What is HackerGCLASS Agent API?
    HackerGCLASS Agent API is an open-source Python framework that exposes RESTful endpoints to run AI agents. Developers can define custom tool integrations, configure prompt templates, and maintain agent state and memory across sessions. The framework supports orchestrating multiple agents in parallel, handling complex conversational flows, and integrating external services. It simplifies deployment via Uvicorn or other ASGI servers and offers extensibility with plugin modules, enabling rapid creation of domain-specific AI agents for diverse use cases.
    HackerGCLASS Agent API Core Features
    • RESTful endpoints for agent execution
    • Custom tool integration
    • Memory and state management
    • Prompt template configuration
    • Multi-agent orchestration
    • Extensible plugin architecture
  • Overeasy is an open-source AI agent framework enabling autonomous LLM-powered assistants with memory, tools integration, and multi-agent orchestration.
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    What is Overeasy?
    Overeasy is a Python-based open-source framework for orchestrating LLM-driven AI agents across various domains. It provides a modular architecture to define agents, configure memory stores, and integrate external tools such as APIs, knowledge bases, and databases. Developers can connect to OpenAI, Azure, or self-hosted LLM endpoints and design dynamic workflows involving single or multiple agents. Overeasy’s orchestration engine handles task delegation, decision making, and fallback strategies, enabling robust digital workers for research, customer support, data analysis, scheduling, and more. Comprehensive documentation and example projects accelerate deployment on Linux, macOS, and Windows.
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