Cortexa is an observability + reliability layer for AI agents. Trace every action and output back to the exact context, memory, and tool calls that caused it. Govern memory writes in real time (score/block/quarantine ungrounded data) and keep vector stores clean to cut hallucinations, risk, and debugging time—reducing development cost.
We built Cortexa because we hit a wall while building Soren (a tool that generates Manim videos from research papers). The hardest problems weren’t “prompting” — they were memory corruption, RAG pipeline errors, and bloated context that drove production costs through the roof. One ungrounded retrieval would get written to memory, later retrieved as “truth,” and silently poison downstream steps. Debugging became guesswork: no clear “why” behind an output. Cortexa evolved as our fix: trace decisions end-to-end + govern memory writes so bad context can’t compound.
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