Kastra
Kastra currently looks more like a naming mix-up around OpenAI’s internal Astra model than a real runtime authorization product, mainly helping observers track a research-model signal rather than ship access-control outc
Tool overview
Adoption verdict: do not treat Kastra as a validated purchasable tool for now. The provided evidence is overwhelmingly about OpenAI’s unreleased internal model Astra, especially claims that it solved long-standing problems in mathematics and theoretical computer science. That does not match the claimed positioning of Kastra as a runtime authorization layer for coding agents. Based on the evidence, the safer conclusion is entity confusion rather than product validation.
In practical terms, the sources support Astra as a model-family signal associated with long-running tasks, multi-agent work, and research-style outputs. It is not an IDE extension, not a permission gateway for Claude/Cursor/Codex, and not a general IAM, audit, or DevSecOps control plane. A more accurate analogy is “an emerging next-gen OpenAI research model story” rather than “infrastructure that enforces runtime policy for coding agents.”
On cost and implementation, the only numbers visible here come from social posts and Zhihu answers repeating that the total token cost for ten discoveries was about $2,000.