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.

agentuse
56
Established
agent-runtimes
50
Established
Maintenance 10/25
Adoption 10/25
Maturity 24/25
Community 12/25
Maintenance 10/25
Adoption 5/25
Maturity 22/25
Community 13/25
Stars: 178
Forks: 15
Downloads:
Commits (30d): 0
Language: TypeScript
License:
Stars: 10
Forks: 2
Downloads:
Commits (30d): 0
Language: TypeScript
License:
No risk flags
No risk flags

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.

workflow-automation business-intelligence data-reporting scheduled-tasks operations

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.

AI deployment software development application integration AI agents API development

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