Knowledge-, capability-, and trust-aware framework for discovering, validating, selecting, and orchestrating heterogeneous AI agents across cloud, marketplace, enterprise, and edge environments, with A2A interoperability and outcome-driven reputation learning.
benchmarking knowledge-graph multi-agent-systems ai-agents reputation-systems trustworthy-ai llm-agents agent-routing agentic-ai graph-ai multi-agent-orchestration agent-orchestration agent-evaluation agent-discovery a2a-protocol capability-matching agent-interoperability agent-selection
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Updated
Sep 4, 2026 - Python