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боты службы поддержки

  • Agent Communication Protocol (ACP)

    A standardized protocol enabling AI agents to exchange structured messages for real-time coordinated multi-agent interactions.
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    What is Agent Communication Protocol (ACP)?
    The Agent Communication Protocol (ACP) is a formal framework designed to enable seamless interaction among autonomous AI agents. ACP specifies a set of message types, headers, and payload conventions, along with agent discovery and registry mechanisms. It supports conversation tracking, version negotiation, and standardized error reporting. By providing language-agnostic JSON schemas and transport-agnostic bindings, ACP reduces integration complexity and allows developers to compose scalable, interoperable multi-agent systems for use in customer service bots, robotic swarms, IoT orchestration, and collaborative AI workflows.
    Agent Communication Protocol (ACP) Core Features
    • Standardized JSON message schemas
    • Agent discovery and registry
    • Conversation and session management
    • Version negotiation and compatibility
    • Structured error reporting
    • Extensible vocabularies and actions
    Agent Communication Protocol (ACP) Pro & Cons

    The Cons

    No information on pricing or commercial support.
    No direct consumer application or marketplace links such as Appstore or Google Play.
    Complexity may be high for teams unfamiliar with REST APIs or agent architectures.

    The Pros

    Provides a universal communication protocol for interoperability between AI agents across different frameworks.
    Supports all forms of modality including text, images, audio, and video with extensible MimeTypes.
    Offers both synchronous and asynchronous communication, ideal for long-running tasks.
    Framework-agnostic, enabling seamless integration with various AI platforms like BeeAI, LangChain, and CrewAI.
    Developed as an open standard with transparent community governance under the Linux Foundation.
    Includes official Python and TypeScript SDKs to facilitate development.
    Enables multi-agent collaboration, flexible agent replacement, and cross-platform integration.

  • AI Agent Ideation Chatbot System Prompt

    A system prompt that guides users through structured steps to ideate, design, and configure AI agents with customizable workflows.
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    What is AI Agent Ideation Chatbot System Prompt?
    The AI Agent Ideation Chatbot System Prompt offers a comprehensive framework for conceptualizing and constructing AI agents. By leveraging a detailed set of prompts, it guides users through defining agent purpose, user persona, input/output specifications, error handling, and operational workflows. Each section prompts users to consider critical components such as knowledge sources, decision-making logic, and integration requirements. The template supports iterative refinement by allowing modifications to instructions and parameter settings. It is designed to work out-of-the-box with OpenAI’s ChatGPT or API-based implementations, enabling rapid prototyping and deployment. Whether building customer service bots, virtual assistants, or specialized recommendation engines, this system prompt simplifies the ideation phase and ensures robust, well-documented AI agent designs.

  • dev-agent

    Dev-Agent is an open-source CLI framework enabling developers to build AI agents with plugin integration, tool orchestration, and memory management.
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    What is dev-agent?
    Dev-Agent is an open-source AI agent framework that empowers developers to rapidly build and deploy autonomous agents. It combines a modular plugin architecture with easy-to-configure tool invocation, including HTTP endpoints, database queries, and custom scripts. Agents can leverage a persistent memory layer to reference past interactions, and orchestrate multi-step reasoning flows for complex tasks. With built-in support for OpenAI GPT models, users define agent behavior via simple JSON or YAML specs. The CLI tool manages authentication, session state, and logging. Whether creating customer support bots, data retrieval assistants, or automated CI/CD helpers, Dev-Agent reduces development overhead and enables seamless extension through community-driven plugins, offering flexibility and scalability for diverse AI-driven applications.
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