Search Results for "budgets"

MagiCrew is an open source enterprise AI agent platform that combines assistants, expert agents, workflow automation, messaging, and collaborative productivity tools. It centralizes organizational data and knowledge so AI capabilities can be shared across teams. Administrators can set budgets by department, user, or task to control model spending. Sandboxed execution and human approval gates help contain risky automated actions. Agents can connect to internal systems such as ERP and CRM platforms and produce finished artifacts including reports, dashboards, presentations, and spreadsheets. Magic supports self-hosted Docker deployment as well as hosted and enterprise editions for organizations of different sizes.

Mercury Agent is a framework for building autonomous AI agents capable of executing complex workflows with minimal human intervention. It focuses on orchestrating tasks across multiple tools and services, enabling agents to perform end-to-end operations. The system includes mechanisms for planning, execution, and feedback, allowing agents to refine their actions iteratively. It supports integration with external APIs and services, making it adaptable to various domains. The architecture is...

...It decides whether an active agent should continue alone, recruit collaborators, or hand a task to another specialist. Routing decisions account for current progress, capability coverage, context-transfer costs, permissions, budgets, and deadlines. The system assigns remaining requirements to agents through task dependency graphs and estimates execution schedules. It learns contextual reliability and outcome information from previous execution evidence instead of relying on a single reputation score. Bounded search and replanning allow the router to compare feasible teams and revise decisions as task conditions change.

CogAgent is a 9B-parameter bilingual vision-language GUI agent model based on GLM-4V-9B, trained with staged data curation, optimization, and strategy upgrades to improve perception, action prediction, and generalization across tasks. It focuses on operating real user interfaces from screenshots plus text, and follows a strict input–output format that returns structured actions, grounded operations, and optional sensitivity annotations. The model is designed for agent-style execution rather...