Comprehensive 自動推論 Tools for Every Need

Get access to 自動推論 solutions that address multiple requirements. One-stop resources for streamlined workflows.

自動推論

  • An open-source AI agent framework to build, orchestrate, and deploy intelligent agents with tool integrations and memory management.
    0
    0
    What is Wren?
    Wren is a Python-based AI agent framework designed to help developers create, manage, and deploy autonomous agents. It provides abstractions for defining tools (APIs or functions), memory stores for context retention, and orchestration logic to handle multi-step reasoning. With Wren, you can rapidly prototype chatbots, task automation scripts, and research assistants by composing LLM calls, registering custom tools, and persisting conversation history. Its modular design and callback capabilities make it easy to extend and integrate with existing applications.
  • A Java module providing Boolean operations (AND, OR, NOT, XOR) as actions for LightJason agents.
    0
    0
    What is Java-Action-Bool?
    Java-Action-Bool integrates seamlessly with the LightJason multi-agent framework, enabling developers to leverage ready-made boolean logic actions in their agent programs. Instead of writing custom boolean checks, you can call provided actions like ActionBoolAnd, ActionBoolOr, ActionBoolNot, and more. These actions evaluate truth values at runtime to guide agent behavior, reducing boilerplate code and simplifying plan definitions in cognitive and reactive agent systems.
  • An open-source Google Cloud framework offering templates and samples to build conversational AI agents with memory, planning, and API integrations.
    0
    0
    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.
  • An open-source Python framework providing fast LLM agents with memory, chain-of-thought reasoning, and multi-step planning.
    0
    0
    What is Fast-LLM-Agent-MCP?
    Fast-LLM-Agent-MCP is a lightweight, open-source Python framework for building AI agents that combine memory management, chain-of-thought reasoning, and multi-step planning. Developers can integrate it with OpenAI, Azure OpenAI, local Llama, and other models to maintain conversational context, generate structured reasoning traces, and decompose complex tasks into executable subtasks. Its modular design allows custom tool integration and memory stores, making it ideal for applications like virtual assistants, decision support systems, and automated customer support bots.
  • Inference.ai is an AI agent for automating inference tasks seamlessly.
    0
    0
    What is Inference.ai?
    Inference.ai is designed to streamline and automate various inference-related tasks. This AI agent enhances data interpretation, allowing businesses to utilize machine learning models for predictive analysis and real-time decision-making. With its robust features, Inference.ai transforms raw data into actionable insights, helping organizations improve efficiency and accuracy in their operations.
Featured