2 个仓库
Awesome GitHub RepositoriesExecution Result Interfaces
Systems for retrieving, parsing, and managing structured outputs and performance metrics from autonomous agent tasks.
Distinguishing note: Focuses on the post-execution data retrieval layer rather than the orchestration logic itself.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Execution Result Interfaces. Refine with filters or upvote what's useful.
Awesome Execution Result Interfaces GitHub Repositories
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- crewaiinc/crewai
crewAIInc/crewAI
53,687在 GitHub 上查看CrewAI is a multi-agent orchestration framework designed for building autonomous systems that execute complex, multi-step workflows. It provides a development platform where specialized agents are defined with specific roles, goals, and tool sets to perform tasks collaboratively. By leveraging a declarative workflow engine, the system manages task dependencies, state transitions, and execution logic, allowing for the creation of structured, stateful sequences of operations. The framework distinguishes itself through its hierarchical management capabilities, which utilize manager agents to coo
CrewAI retrieves structured outputs including raw text, data models, and usage metrics through a dedicated interface after task completion.
Pythonagentsaiai-agents - openai/openai-agents-python
openai/openai-agents-python
27,191在 GitHub 上查看This project is a Python framework for building autonomous, event-driven agent systems. It provides a unified runtime for orchestrating multi-agent workflows, managing persistent conversation state, and executing code within secure, isolated sandbox environments. The framework is designed to handle complex task delegation, allowing agents to invoke other agents as tools while maintaining context across multi-turn interactions. The framework distinguishes itself through its deep integration with the Model Context Protocol, enabling agents to connect to external data sources and remote services
Provides interfaces to access final outputs, state snapshots, and interaction history after workflow completion.
Pythonagentsaiframework
