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Comprehensive tomada de decisão AI Tools for Every Need

Get access to tomada de decisão AI solutions that address multiple requirements. One-stop resources for streamlined workflows.

tomada de decisão AI

  • X AI Agent

    An open-source Python framework to build custom AI agents with LLM-driven reasoning, memory, and tool integrations.
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    What is X AI Agent?
    X AI Agent is a developer-focused framework that simplifies building custom AI agents using large language models. It provides native support for function calling, memory storage, tool and plugin integration, chain-of-thought reasoning, and orchestration of multi-step tasks. Users can define custom actions, connect external APIs, and maintain conversational context across sessions. The framework’s modular design ensures extensibility and allows seamless integration with popular LLM providers, enabling robust automation and decision-making workflows.
    X AI Agent Core Features
    • LLM integration with function calling
    • Contextual memory management
    • Plugin and tool architecture
    • Chain-of-thought reasoning
    • Multi-step task orchestration

  • AI-OnChain-Agent

    AI-OnChain-Agent autonomously monitors on-chain trading data and executes smart contract transactions via GPT-based decision-making with customizable AI-driven strategies.
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    What is AI-OnChain-Agent?
    AI-OnChain-Agent integrates OpenAI GPT models with Web3 protocols to create autonomous blockchain agents. It connects to Ethereum networks via configurable RPC endpoints, uses LangChain for prompt orchestration, and Ethers.js/Hardhat for smart contract interactions. Developers can specify trading or governance strategies through prompt templates, monitor token metrics in real time, sign transactions with private keys, and execute buy/sell or stake/unstake operations. Detailed logs track decisions and on-chain results, and the modular design supports extending to oracles, liquidity management, or automated governance voting across multiple DeFi protocols.

  • multi_agent_celar

    An open-source multi-agent framework enabling emergent language-based communication for scalable collaborative decision-making and environment exploration tasks.
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    What is multi_agent_celar?
    multi_agent_celar is designed as a modular AI platform enabling emergent-language communication among multiple intelligent agents in simulated environments. Users can define agent behaviors via policy files, configure environment parameters, and launch coordinated training sessions where agents evolve their own communication protocols to solve cooperative tasks. The framework includes evaluation scripts, visualization tools, and support for scalable experiments, making it ideal for research on multi-agent collaboration, emergent language, and decision-making processes.
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