inkonchain/node

• base/node

  base/node

  68,511Voir sur GitHub↗

  This project is a containerized implementation of a blockchain node for the Base network. It manages the execution and consensus processes of an Ethereum Virtual Machine node within an isolated environment to maintain the network and process blockchain data. The infrastructure includes a specialized interface for processing pending blocks via websockets to reduce latency. It also provides a state synchronization tool that uses pre-computed snapshots to accelerate the process of reaching the current block height. The system covers network identity configuration for mainnet and testnet environ

  Shell

  Voir sur GitHub↗68,511
• ethereum/go-ethereum

  ethereum/go-ethereum

  51,178Voir sur GitHub↗

  Geth is a comprehensive execution client for the Ethereum network, serving as a foundational node implementation that processes transactions, maintains the distributed ledger state, and participates in peer-to-peer consensus. It provides a robust infrastructure for synchronizing, validating, and serving blockchain data, utilizing a persistent Merkle Patricia Trie database to ensure the cryptographic integrity of historical records. As a sandboxed smart contract runtime, it executes bytecode according to deterministic protocol rules, enabling the deployment and interaction of decentralized appl

  Goblockchainethereumgeth

  Voir sur GitHub↗51,178
• voltagent/awesome-claude-code-subagents

  VoltAgent/awesome-claude-code-subagents

  21,906Voir sur GitHub↗

  This project provides a framework for managing multi-agent systems, designed to automate complex software development, infrastructure, and business workflows. It functions as a multi-agent workflow orchestrator that routes tasks to domain-specific workers while maintaining state persistence and infrastructure automation. By leveraging large language models, the system decomposes high-level objectives into actionable plans, ensuring that complex operations are executed with consistency and reliability. The framework distinguishes itself through its hierarchical agent registry and policy-driven

  Shellai-agent-frameworkai-agent-toolsai-agents

  Voir sur GitHub↗21,906
• pycaret/pycaret

  pycaret/pycaret

  9,811Voir sur GitHub↗

  PyCaret is a Python AutoML platform and MLOps lifecycle manager designed to automate machine learning workflows. It functions as a low-code environment that leverages a scikit-learn native engine to execute preprocessing, training, and evaluation for tabular data. The platform distinguishes itself as an LLM-powered ML copilot, using large language model agents to analyze datasets, design experiment configurations, and explain model results. It also serves as a Kubernetes ML orchestrator and model registry, enabling the versioning of trained pipelines and their promotion to production API endp

  Pythonanomaly-detectionautomlclassification

  Voir sur GitHub↗9,811

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