Kastra is the runtime authorization layer for AI agents. It decides what agents can and cannot do before actions execute, enforcing policies with sub-1 ms latency across tools, prompts, inputs, and outputs. Use one control plane to govern agents and policies across Claude Code, Cursor, Codex, OpenClaw, the Anthropic SDK, the OpenAI SDK, and more. Prevent unauthorized tool use, prompt injection, and exposure of sensitive data before they become incidents. Trust the rules, not the agents.
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The "zero implicit trust" framing is really nice. Most agent safety thinking stops at the model level. Most actual work is on how to set actual programmatic hard walls
@mohammed_messeguem Thanks, Mohammed! That’s exactly how we think about it. Model safety is important, but once an agent starts interacting with real systems and doing autonomous actions, you also need deterministic controls around what it can actually do. That’s the gap we’re trying to solve with Kastra.
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I use Kastra everyday to discover the risks while coding and it’s very useful.
@carlos_campos93 This is great, thank you. We're happy we can bring value to you!
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I have been testing kastra with my team and even though I’m not very technical it’s very simple to use and it has helped us a lot while building our product.
@paula_jimenez4 Kastra is great for new builders learning how to code; it teaches them the risks and helps them understand the agentic coding workloads better by being able to evaluate all the actions, risks, and decisions at runtime.
Congratulations on your launch! This feels like the missing piece for regulated AI adoption. Enterprise‑ready - control, neutral, deterministic, and fast.
@odeth_negapatan1 Exactly, this is our goal. We want to become the default neutral authorization layer a top enterprise deploying large scale product and also an indie developer can use. Appreciate the support!
This is the kind of infrastructure that won't get the loudest headlines, but could become a core part of every serious AI stack. As agents gain more autonomy, authorization becomes just as important as intelligence. Congrats to the entire team and wishing you an amazing launch
@suryansh_tiwari2 Thank you so much! This is very accurate, we are trying to solve a massive problem that will become more relevant every years as autonomous AI adoption increases.
The "zero implicit trust" framing is really nice. Most agent safety thinking stops at the model level. Most actual work is on how to set actual programmatic hard walls
well done team:)
Kastra
I use Kastra everyday to discover the risks while coding and it’s very useful.
Highly recommend 👍🏻
Kastra
@carlos_campos93 This is great, thank you. We're happy we can bring value to you!
I have been testing kastra with my team and even though I’m not very technical it’s very simple to use and it has helped us a lot while building our product.
Kastra
@paula_jimenez4 Kastra is great for new builders learning how to code; it teaches them the risks and helps them understand the agentic coding workloads better by being able to evaluate all the actions, risks, and decisions at runtime.
Lancepilot
Kastra
Kastra
Thank you@odeth_negapatan1, that's exactly the gap we set out to close!
Every
Huge congrats on the launch! :)
Kastra
@lisa_shmulyan thank you for the support Lisa! 🙏
Kastra
@lisa_shmulyan Thank you for the support, Lisa!
HarnessRouter
@fernando_vintacourt Congratulations. And happy product launch.
Kastra
@fernando_vintacourt @huisong_li Thank you for the support!
EverTutor AI
This is the kind of infrastructure that won't get the loudest headlines, but could become a core part of every serious AI stack. As agents gain more autonomy, authorization becomes just as important as intelligence. Congrats to the entire team and wishing you an amazing launch
Kastra