agentuse and agent-runtimes
These are complements: agentuse provides the execution engine for running AI agents across multiple environments, while agent-runtimes provides the protocol exposure layer to interface with those agents through different communication channels.
About agentuse
agentuse/agentuse
🤖 AI agents on autopilot. Any model. Runs local, cron, CI/CD, or Docker.
This tool helps you automate routine tasks using AI, without needing to constantly supervise them. You provide plain-language instructions or existing data sources, and it delivers automated reports, summaries, or actions. It's ideal for anyone who needs to set up 'hands-off' intelligent assistants, like marketers generating daily summaries, analysts querying databases, or operations teams automating alerts.
About agent-runtimes
datalayer/agent-runtimes
🤖 🚀 Agent Runtimes - Expose AI Agents through multiple protocols.
This project helps software developers easily deploy, manage, and interact with AI agents across various platforms and applications. It takes your existing AI agent code and allows you to expose it through different communication protocols and user interfaces. Developers building web applications, desktop tools, or internal systems would use this to integrate AI agents.
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