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Comprehensive bots de recherche Tools for Every Need

Get access to bots de recherche solutions that address multiple requirements. One-stop resources for streamlined workflows.

bots de recherche

  • ai-agents-trial

    A Python-based framework for building custom AI agents that integrate LLMs with tools for task automation.
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    What is ai-agents-trial?
    ai-agents-trial is an open-source Python project demonstrating how to build autonomous AI agents using LLMs. It provides modular abstractions for agent planning, tool invocation (e.g., web search, calculators), and memory management. Developers can define custom tools, chain actions across multiple steps, and persist context across sessions. The codebase uses OpenAI APIs alongside helper utilities to orchestrate workflows, making it ideal for rapid prototyping of chat-based assistants, research bots, or domain-specific automation agents. Integration points allow extending functionality with new connectors and data sources without altering core logic.
    ai-agents-trial Core Features
    • Modular agent orchestration with planning and execution loops
    • Built-in tool integrations (web search, calculator, etc.)
    • Persistent memory for context across sessions
    • Plugin architecture for adding custom tools
    • Support for OpenAI GPT models

  • SwarmZero

    SwarmZero is a Python framework that orchestrates multiple LLM-based agents collaborating on tasks with role-driven workflows.
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    What is SwarmZero?
    SwarmZero offers a scalable, open-source environment for defining, managing, and executing swarms of AI agents. Developers can declare agent roles, customize prompts, and chain workflows via a unified Orchestrator API. The framework integrates with major LLM providers, supports plugin extensions, and logs session data for debugging and performance analysis. Whether coordinating research bots, content creators, or data analyzers, SwarmZero streamlines multi-agent collaboration and ensures transparent, reproducible results.
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