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Comprehensive наборы средств разработки ПО Tools for Every Need

Get access to наборы средств разработки ПО solutions that address multiple requirements. One-stop resources for streamlined workflows.

наборы средств разработки ПО

  • StableAgents

    StableAgents enables creation and orchestration of autonomous AI agents with modular planning, memory, and tool integrations.
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    What is StableAgents?
    StableAgents provides a comprehensive toolkit to create autonomous AI agents that can plan, execute, and adapt complex workflows using large language models. It supports modular components including planners, memory stores, tools, and evaluators. Agents can access external APIs, perform retrieval-augmented tasks, and store conversation or interaction context. The framework comes with a CLI and Python SDK, enabling local development or cloud deployment. Through its plugin architecture, StableAgents integrates with popular LLM providers and vector databases and includes monitoring dashboards and logging for performance tracing.
    StableAgents Core Features
    • Autonomous multi-agent planning
    • Modular memory management
    • Tool and API integrations
    • Plugin-based extensibility
    • CLI and Python SDK
    • Monitoring and logging dashboards
    StableAgents Pro & Cons

    The Cons

    The Pros

    Provides natural language interface for computer control
    Supports a wide range of operations like file management, web browsing, and command execution
    Available as both command-line tool and Python library
    Open source with an available GitHub repository

  • Agent Starter Pack

    An open-source Google Cloud framework offering templates and samples to build conversational AI agents with memory, planning, and API integrations.
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    What is Agent Starter Pack?
    Agent Starter Pack is a developer toolkit that scaffolds intelligent, interactive agents on Google Cloud. It offers templates in Node.js and Python to manage conversation flows, maintain long-term memory, and perform tool and API invocations. Built on Vertex AI and Cloud Functions or Cloud Run, it supports multi-step planning, dynamic routing, observability, and logging. Developers can extend connectors to custom services, build domain-specific assistants, and deploy scalable agents in minutes.
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