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Awesome GitHub RepositoriesAgent Task Lifecycles
Management of the end-to-end progression of AI agent tasks from planning to archiving.
Distinct from Task Lifecycle Management: None of the candidates cover the specific lifecycle of an AI agent's task planning and execution pipeline; they focus on containers or manual to-do lists.
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Awesome Agent Task Lifecycles GitHub Repositories
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- cft0808/edict
cft0808/edict
16,123Auf GitHub ansehenEdict is a multi-agent orchestration system and framework designed to coordinate specialized large language model agents. It functions as a workflow designer and orchestrator that decomposes complex objectives into structured plans, using directed acyclic graphs and role-based hierarchies to execute sub-tasks. The system is distinguished by its event-driven architecture, utilizing a publish-subscribe event bus and transactional outbox to manage agent communications and task transitions. It features a dedicated skill management system that allows for the importation, updating, and sandboxed ex
Tracks agent tasks through a complete pipeline from creation and planning to execution and final archiving.
Python
