OpenBox.ai is live with 7+ agent framework integrations
OpenBox.ai is live on Product Hunt today with major product updates!
Weโve expanded OpenBox from a runtime governance layer into a framework-agnostic control layer that teams can use across their existing AI agent stack.
๐ช๐ต๐ฎ๐โ๐ ๐ป๐ฒ๐:
๐ 8+ integrations with Temporal, LangChain, LangGraph, CrewAI, Mastra, Deep Agents, CopilotKit, and n8n
โ Policy enforcement before agent actions execute
๐ Human approval workflows for sensitive actions
๐ Real-time monitoring of agent behaviour and risk
โช Complete session replay to understand what happened
๐ Tamper-proof audit trails and Proof Certificates
๐ก๏ธ Mapping of agent activity to frameworks such as the EU AI Act and NIST
The goal is to give teams one consistent way to control and audit their agents, regardless of the framework or system they use.
If youโre building AI agents, weโd love your feedback on the updated OpenBox experience and the integrations we should add next.
๐๐ต๐ฒ๐ฐ๐ธ ๐๐ ๐ผ๐๐ ๐ผ๐ป ๐ฃ๐ฟ๐ผ๐ฑ๐๐ฐ๐ ๐๐๐ป๐:
https://www.producthunt.com/products/openbox?launch=openbox-2
Replies
WebCurate.co
Upvoted you!! Congrats on the launch! ๐
I like that you're taking a framework-agnostic approach. A lot of teams are using multiple agent frameworks now, so having one place for governance and monitoring makes much more sense than managing each one separately.
Real time monitoring is useful but large agent systems can generate huge amounts of activity. How do you surface the highest risk events without overwhelming teams with constant notifications?
Have you found a good balance between safety and avoiding unnecessary interruptions for developers?
I like that policy enforcement happens before actions execute instead of after something goes wrong. How flexible are those policies when different teams have very different risk tolerance and compliance requirements?