Building and orchestrating AI agents for an enterprise marketing platform, Creating multi-agent AI applications with conversation patterns
It's a powerful framework for orchestrating multi-agent conversations but lacks built-in security features for agent identity and payload verification.
Applications requiring cryptographic verification of agent payloads, Auditing scenarios needing verified agent identity
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AutoGen (50K) -- no identity (Entra ID for users, not agents)
Hacker News • HackerNews • Use case: Auditing for agent identity and cryptographic signing features
You’ll work on: Building and orchestrating AI agents (LangChain, AutoGen, Semantic Kernel)
Hacker News • HackerNews • Use case: Building and orchestrating AI agents for an enterprise marketing platform.
every AI agent framework today — ... AutoGen ... treats incoming payloads as legitimate by default. There's no cryptographic verification that a payload was actually sent by the agent who claims to have sent it.
Hacker News • HackerNews • Use case: AI agent framework for building applications
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