Comprehensive データログ Tools for Every Need

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データログ

  • TinyAgent enables you to build and deploy custom AI agents for automating tasks, research, and text generation.
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    What is TinyAgent?
    TinyAgent is a low-code AI agent builder that allows anyone to design, test, and deploy intelligent agents. Define custom prompts, integrate external APIs or data sources, and configure agent memory to retain context. Once configured, agents can be used via a web chat interface, Chrome extension, or embed code. With analytics and logging, you can monitor performance and iterate quickly. TinyAgent streamlines repetitive tasks such as report generation, email triage, and lead qualification, reducing manual work and scaling team productivity.
    TinyAgent Core Features
    • Visual agent builder with custom prompts
    • Persistent context memory
    • API & webhook integrations
    • Chat simulation and testing
    • Embed code and extension deployment
    • Usage analytics and logging
    TinyAgent Pro & Cons

    The Cons

    Currently in BETA with potential instability and evolving features
    Requires familiarity with Python programming and AI concepts
    Limited direct information on pricing or commercial support
    Lack of dedicated mobile or browser extension apps
    Discord link redirects to placeholder/not fully detailed community page

    The Pros

    Easy transformation of Python functions into AI tools with a simple decorator
    Powerful orchestration engine (tiny_chain) to chain and triage multiple tools
    Modular and extensible framework for building complex AI agents
    Supports structured JSON output for reliable and consistent agent responses
    Open-source with active development and community support
    Compatible with multiple LLM APIs including OpenRouter and OpenAI
  • Eliza is a rule-based conversational agent simulating a psychotherapist, engaging users through reflective dialogue and pattern matching.
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    What is Eliza?
    Eliza is a lightweight, open-source conversational framework that simulates a psychotherapist via pattern matching and scripted templates. Developers can define custom scripts, patterns, and memory variables to tailor responses and conversation flows. It runs in any modern browser or webview environment, supports multiple sessions, and logs interactions for analysis. Its extensible architecture allows integration into web pages, mobile apps, or desktop wrappers, making it a versatile tool for education, research, prototype development, and interactive installations.
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