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https://nango.dev https://nango.dev is another open-source option (disclosure: I am one of the founders). We have heard the opposite argument for AI agents: Th

https://nango.dev https://nango.dev is another open-source option (disclosure: I am one of the founders). We have heard the opposite argument for AI agents: The people we spoke with want control over what the AI agents can do in the external systems. With direct API access and non-deterministic behavior, how do you guarantee it doesn't swap the POST /contacts with DELETE /contacts? Integration platforms that abstract the API provide a safety net for this, and auditability.

parthkm 3y ago
Big fan of Nango. Love what you are doing in the unified api space by providing customisability past the lowest common api denominator. Reason I did not include you in the open source list is your github only seems to have "integration templates". I may be wrong but these look like helpers for your customers to understand your integration formats. All your integrations do not seem to actually be open sourced. Especially I agree that AI agents can always misunderstand and call the wrong api. Thus I believe having an open source configuration standard, interoperable with OAS, which AI agents can parse would be hugely beneficial. Audibility of course is also definitely crucial with any AI system. The fundamental issue I see with API abstraction over the core system is the inability to fully interact with the underlying system for bespoke requests that may come up. Also the issue with the AI systems calling the wrong api (POST instead of DELETE), can still arise with any system an AI interacts with tho I agree that besides securing with appropriate oauth scopes, integration platforms could help with additional guard rails