Bespoke Curator is an AI-driven orchestration framework that allows users to spin up multiple specialized agents with defined roles—researcher, analyzer, summarizer—to autonomously gather information, process documents, and deliver structured outputs. Built-in integrations with web browsing, APIs, and shared memory storage let agents communicate and iterate on tasks. Users configure data sources, specify extraction rules, and set performance metrics. The platform’s dashboards track agent progress, enabling real-time adjustments and exporting of final reports, insights, or summaries for business intelligence, academic reviews, and content strategy workflows.

onChain-agent provides a comprehensive toolset for building self-driving blockchain agents powered by AI. It continuously listens to on-chain events such as token transfers, governance proposals, or price feeds, then uses integrated large language models to interpret data, generate decision plans, and trigger transactions. The framework includes configurable strategy templates for DeFi arbitrage, market making, liquidity provision, and governance voting. It manages private keys securely, ensures risk checks, and logs all activities for auditability. Developers extend functionality via plugin modules supporting custom chains, data oracles, and advanced AI models. Real-time monitoring dashboards and alerts help users track performance.

The Blockchain AI Agent project provides a comprehensive solution for building, deploying, and managing autonomous AI agents on blockchain networks. It offers native smart contract integration to read and write on-chain data, a decision-making engine powered by machine learning algorithms, and an execution layer for authorizing transactions. Users can configure custom strategies, such as yield farming, NFT arbitrage, or DAO proposal voting, and deploy their agents to run 24/7. With built-in analytics, logging, and alerting, the framework ensures agents act securely, transparently, and efficiently in decentralized environments.