Cloud gateways are too slow. In the 150ms it takes to resolve a budget check over HTTP, a rogue LLM loop can execute 1,000 asynchronous Stripe charges. Network latency is the enemy.
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Everyone is giving autonomous agents access to Stripe, Coinbase, and real money. They rely on Cloud Gateways (like LangSmith) to enforce budget limits.
Cloud gateways take 100-200ms to check database limits. During that fraction of a second, an async agent loop can spawn hundreds of threads that bypass the check simultaneously.
Because thread #2 hits the network before thread #1 finishes updating the budget, both get approved. You gave the agent a $100 budget. It just spent $10,000.
AEGIS intercepts tool execution at the memory level. No network hops. No HTTP delays. Just brutal, sub-millisecond thread locking.
AEGIS operates directly on RAM. It locks the budget state in < 1ms, forcing parallel threads into a synchronous queue before they ever reach the internet.
If thread #1 takes the budget, threads #2 through #1000 are instantly rejected in memory. No expensive API calls are wasted. Zero double-spending.
Plug and play with LangChain, LlamaIndex, or custom OpenAI scripts. Just wrap your tool execution function with the AEGIS policy gate.