AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
Build AI agents by convention — a conventions-based framework for AI agents powered by BoxLang AI.
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A conventions-based AI agent framework powered by BoxLang
Translation pending
Taken from the repository README
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Copyright Since 2023 by Ortus Solutions, Corp
www.boxlang.io |
www.ortussolutions.com
BxAgents is a conventions-based framework for building AI agents powered by BoxLang AI. Built on top of ColdBox, it lets you describe an agent with a handful of files and folders - Agent.bx, instructions.md, and whichever of tools/, skills/, subagents/, gateways/, schedules/, mcp/, interceptors/, models/, modules/ it actually needs - and BxAgents assembles a real, runnable ColdBox application from it at build time, ready to serve, chat with, or package as a portable .bxa.Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
Copyright Since 2023 by Ortus Solutions, Corp
www.boxlang.io |
www.ortussolutions.com
BxAgents is a conventions-based framework for building AI agents powered by BoxLang AI. Built on top of ColdBox, it lets you describe an agent with a handful of files and folders - Agent.bx, instructions.md, and whichever of tools/, skills/, subagents/, gateways/, schedules/, mcp/, interceptors/, models/, modules/ it actually needs - and BxAgents assembles a real, runnable ColdBox application from it at build time, ready to serve, chat with, or package as a portable .bxa.Read the full README ↗