drandrewlaw/agentgate

AgentGate is a nascent project (10 days old, 1 star) addressing the critical but increasingly crowded space of AI agent governance. While the problem—preventing agents from performing unauthorized or dangerous actions—is high-value, the project currently lacks the adoption or technical complexity to form a moat. It functions as a wrapper/middleware, a pattern that is being rapidly subsumed by major frameworks and platforms. Specifically, LangChain (LangGraph), Anthropic (Model Context Protocol), and OpenAI (Assistants API/GPTs) are all baking in native tool-calling permissions and safety guardrails. Furthermore, enterprise-grade security startups like Lakera and Arthur AI are building more robust, audited versions of these 'gates.' The low quantitative signals suggest this is currently in a proof-of-concept phase. Platform domination risk is high because cloud providers (AWS Bedrock, Azure AI) view security and governance as their primary value proposition for enterprise AI, leaving little room for thin standalone open-source middleware unless it achieves massive developer mindshare, which AgentGate has not yet begun to capture.