Cortexa

Cortexa offers a robust observability and reliability layer for agent-based systems. It provides critical capabilities for understanding agent behavior and maintaining data integrity: * Trace every action to its source context * Govern memory writes in real-time * Identify and block ungrounded data * Keep vector stores clean * Quantify memory contribution to outputs This platform allows users to trace every agent action and output back to the specific context, memory, and tool calls that influenced it. It introduces real-time governance over memory writes, enabling scoring, blocking, or quarantining of ungrounded data. This proactive approach helps in maintaining the cleanliness and accuracy of vector stores, significantly reducing occurrences of irrelevant or erroneous data. Cortexa is designed to minimize debugging time, decrease the risk associated with incorrect outputs, and ultimately lower overall development costs. Users can quickly pinpoint the root cause of unexpected agent behavior, often in seconds, preventing issues from affecting end-users. The system also helps identify and eliminate "ghost tokens" and irrelevant context, leading to more efficient inference and better resource utilization. Ideal for engineering teams managing complex conversational agents, data processing pipelines, or knowledge retrieval systems. Cortexa ensures data provenance, helps quantify the contribution of each memory, and provides cryptographic proof for data deletion, simplifying compliance and auditing processes.