Traccia is a vendor-neutral AI Agent Control Plane built for teams running autonomous agents in production. Observe agent behavior, evaluate performance, govern actions with policies and runtime controls, and maintain an auditable trail of what happened. Built with an open, developer-first SDK and OpenTelemetry, Traccia works across models, frameworks, and existing observability stacks—so teams can control their agents without being locked into a single AI vendor.
@said_aitmbarek thank, Said. This means a lot coming from you who has seen literally thousands of products over the last few years.
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Congratulations guys! In today’s world where tracking the decisions made by agents are so difficult Traccia will really help with that, also vendor neutrality is such an added bonus, will definitely check this product with my team!
@thisiskp_ Thanks KP! That’s exactly the problem we’re seeing — once teams move beyond a single framework, managing what agents can actually do gets messy pretty quickly. We are actively working in the policy/enforcement layer: giving teams a consistent way to control agent actions across frameworks and tools. Would love to hear what you’re seeing at Netlify as wel !
Microlaunch
Great control & observability layer guys, solid work. Love the fact there's no vendor lock-in.🔥
Traccia
@said_aitmbarek thank, Said. This means a lot coming from you who has seen literally thousands of products over the last few years.
Congratulations guys! In today’s world where tracking the decisions made by agents are so difficult Traccia will really help with that, also vendor neutrality is such an added bonus, will definitely check this product with my team!
Traccia
@mimansa_sinha Thank you for the support. Looking forward to your team's feedback.
Netlify
Having one place to manage AI agents across different platforms is huge, especially now that everyone's using a mix of frameworks. Really solid build!
Traccia
@thisiskp_ Thanks KP! That’s exactly the problem we’re seeing — once teams move beyond a single framework, managing what agents can actually do gets messy pretty quickly. We are actively working in the policy/enforcement layer: giving teams a consistent way to control agent actions across frameworks and tools. Would love to hear what you’re seeing at Netlify as wel !